AWS Certification Training Courses

Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Technical Essentials Training Course Outline

Module 1: Introducing AWS Technical and History

  • Introduction to AWS
  • Understanding Regions and AZ’s
  • AWS Console
  • History of AWS

Module 2: Foundational Services of AWS

  • Foundational Services
  • Virtual Private Cloud
  • Elastic Compute Cloud
  • Elastic Block Store
  • Amazon S3

Module 3: AWS Security

  • AWS Security Credentials
  • Using Encryption in S3
  • Signing AWS API Requests
  • Using Multi-Factor Authentication (MFA) in AWS
  • Logging
  • EC2 Security and Networking
  • Security in VPC

Module 4: Identity Access Management (IAM)

  • Introduction to IAM
  • IAM Features
  • Identities

Module 5: Databases of AWS

  • DynamoDB
  • Amazon Relational Database Service (RDS)

Module 6: AWS Management Tools

  • CloudWatch
  • Elastic Load Balancing
  • Auto Scaling

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Who Should Attend the AWS Technical Essentials Training Course?

The AWS Technical Essentials Training Course is designed for professionals who want to get started with Amazon Web Services (AWS) and understand its core services and functionalities. This course will benefit the following professionals:

  • IT Professionals
  • System Administrators
  • Developers
  • Solutions Architects
  • Cloud Operations Engineers
  • Network Administrators
  • DevOps Engineers
  • Technical Support Specialists

Prerequisites of the AWS Technical Essentials Training Course

There are no formal prerequisites to attend the AWS Technical Essentials Training Course. However, a basic understanding of cloud computing would be beneficial.

AWS Technical Essentials Training Course Overview

The AWS Technical Essentials Training Course provides delegates with the foundational knowledge necessary to navigate the AWS platform. With businesses increasingly adopting cloud technologies, the course equips individuals with the skills to leverage AWS services effectively. It helps bridge the gap between IT professionals and cloud computing, enhancing career prospects in the rapidly growing cloud industry.

This AWS Technical Essentials Training is ideal for IT Professionals, Developers, and anyone looking to expand their knowledge of AWS. By gaining hands-on experience with core AWS services, delegates can advance their careers by offering sought-after skills in cloud management and development. With AWS continuing to dominate the cloud space, mastering its platform opens opportunities for growth and leadership roles in the tech sector.

This 1 Day AWS Technical Essentials Training, provided by The Knowledge Academy, is designed to equip delegates with essential AWS cloud knowledge. Through practical, real-world applications, delegates gain a deeper understanding of AWS services and cloud infrastructure. This training enables delegates to make informed decisions and deploy AWS technologies with confidence, offering them a competitive edge in their careers.

Course Objectives

  • To understand core AWS services and their applications
  • To explore how AWS can help organisations scale and innovate
  • To gain hands-on experience using AWS Management Console
  • To comprehend AWS pricing, billing, and cost management tools
  • To learn cloud deployment strategies on AWS
  • To familiarise with best practices for cloud security on AWS

Upon completion of this AWS Technical Essentials Training, delegates will have a solid understanding of AWS, enabling them to effectively use core AWS services and start exploring more advanced cloud technologies. They will be equipped to contribute to cloud-based projects, improving their technical capabilities and enhancing their value to organisations leveraging AWS for their infrastructure needs.

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What’s included in this AWS Technical Essentials Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Technical Essentials Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Big Data On AWS Training Course Outline

Module 1: Introduction to AWS and Big Data

  • Introduction to Big Data
  • Ingestion, Transmission, and Compression of Big Data
  • AWS Well-Architected Framework 
  • Kinesis and Data Stream
  • Data Storage Solutions
  • Using DynamoDB to Store and Query Data
  • Processing Big Data
  • Operating Athena

Module 2: Apache Hadoop and EMR (Elastic MapReduce)

  • Apache Hadoop and EMR
  • Create Cluster in EMR
  • Function of Pig Scripts in Hue

Module 3: Big Data with Redshift in AWS

  • Big Data with Redshift
  • Create an IAM Use
  • Visualising Big Data
  • Operating TIBCO Spotfire
  • Big Data Design Sequences
  • Data Warehouses
  • Redshift Environment Optimisation

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Who should attend this Big Data on AWS Training?

The Big Data on AWS Course is designed for professionals who want to gain expertise in processing and analysing large datasets using Amazon Web Services (AWS) technologies. This course can be beneficial to a variety of professionals, including:

  • Data Engineers
  • Data Scientists
  • Big Data Analysts
  • Data Analytics Managers
  • Business Intelligence Analysts
  • Data Warehousing Specialists
  • Big Data Consultants

Prerequisites of the Big Data on AWS Training

There are no formal prerequisites to attend the Big Data on AWS Course. However, a basic understanding of Big Data technologies and cloud computing can be beneficial to the delegates.

Big Data on AWS Training Overview

Big Data has become essential for decision-making and business strategy in various industries. This Big Data on AWS Training equips delegates to efficiently process, manage, and analyse large datasets using powerful AWS tools and services. Since AWS is a top cloud platform, mastering Big Data on AWS is vital for organisations aiming to stay competitive and innovative.

Proficiency in AWS Big Data is crucial for IT Professionals, Data Engineers, Data Scientists, and anyone engaged in data management and analytics. As cloud technologies continue to gain traction, organisations seek experts capable of designing, implementing, and fine-tuning Big Data solutions on AWS.

The 2-Day AWS Big Data Certification Course by The Knowledge Academy is crafted to equip delegates with a deep grasp of AWS services and tools specifically designed for managing Big Data tasks. This training offers hands-on practice in establishing data lakes, conducting analytics, and utilising AWS services such as Amazon EMR, Redshift, and Athena. Through practical exercises and real-world scenarios, attendees can promptly apply their newfound knowledge in their professional careers.

Course Objectives

  • To explore AWS Big Data services and their roles in data processing and analytics
  • To learn how to build and manage data lakes on AWS
  • To gain proficiency in using Amazon EMR for distributed data processing
  • To master data warehousing with Amazon Redshift
  • To perform ad-hoc querying with Amazon Athena
  • To discover best practices for securing and optimising Big Data solutions on AWS

After successfully finishing the Big Data on AWS Course, delegates will possess the necessary expertise to design and deploy cost-efficient, scalable Big Data solutions on the AWS platform.

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What’s included in this Big Data on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Big Data on AWS Certificate
  • Digital Delegate Pack

 

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS IoT Certification Course Outline

Module 1: Introduction to AWS IoT

  • What is AWS IoT
  • Introduction to Cloud Computing
  • IoT Cloud Architecture
  • Device Communication Protocol
  • Creating an AWS IoT Thing

Module 2: Amazon Web Services

  • EC2 (Elastic Compute Cloud)
  • EBS (Elastic Block Storage)
  • VPC (Virtual Private Cloud)
  • AWS Lambda
  • Simple Notification Service
  • Simple Storage Service (S3)
  • Amazon Dynamo DB
  • Amazon Machine Learning Service
  • Amazon ElastiCache for Redis
  • AWS Cloud Watch
  • AWS Cloud Formation
  • AWS CLI

Module 3: AWS IoT (Amazon Internet of Thing) Stack

  • Device Registry
  • Device Management
  • Certificates and Policies
  • Message Broker
  • Device Shadow Service
  • AWS IoT Rule Actions
  • Amazon Greengrass Core
  • IoT Analytics Service

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Who should attend this AWS IoT Certification Course?

The Introduction to AWS IoT Course is designed to provide a comprehensive understanding to professionals to familiarise them with the concepts and fundamentals of the Amazon Web Services (AWS) Internet of Things (IoT) platform. This course can be beneficial to various professionals, including:

  • IoT Developers
  • Embedded System Engineers
  • Solutions Architects
  • Software Engineers
  • Cloud Engineers
  • IoT Solutions Specialists
  • Entrepreneurs

Prerequisites of the AWS IoT Certification Course

There are no formal prerequisites to attend the AWS IoT Certification Course. However, a basic understanding of Internet of Things and cloud computing would be beneficial to delegates.

AWS IoT Certification Course Overview

The Internet of Things (IoT) has transformed various industries, with AWS IoT as its foundation. The AWS IoT Certification Course is designed to provide participants with a comprehensive understanding of Amazon Web Services (AWS) Internet of Things (IoT) services. In today's interconnected world, IoT plays a pivotal role in transforming industries by enabling devices to communicate and share data seamlessly. This course introduces the fundamental concepts and applications of AWS IoT, highlighting its relevance in creating efficient, scalable, and secure IoT solutions.

Understanding AWS IoT is crucial for professionals involved in cloud computing, IoT development, and system architecture. Mastery of this subject is particularly important for developers, architects, and IT professionals seeking to leverage AWS services for building and managing IoT applications. As industries increasingly adopt IoT, having expertise in AWS IoT becomes a valuable skill set for staying competitive and contributing to innovative technological advancements.

In this 1-day course by The Knowledge Academy, delegates will gain knowledge of key AWS services, including Elastic Compute Cloud (EC2), Elastic Block Store (EBS), Virtual Private Cloud (VPC), S3, AWS Lambda, Simple Notification Service (SNS), DynamoDB, and Amazon Machine Learning. The course covers AWS CloudWatch, CloudFormation, and the Command Line Interface (CLI). Additionally, delegates will delve into the IoT device stack, covering device registry and management, message brokers, device shadow, and AWS Greengrass Core.

Course Objectives

  • To understand AWS IoT core components
  • To configure device connections and security
  • To implement IoT data processing and analytics
  • To learn to build scalable IoT applications
  • To ensure data integrity and security
  • To develop real-world IoT use cases
  • To troubleshoot common IoT challenges
  • To help delegates stay updated with AWS IoT best practices

After completing this AWS Course, delegates will be well-prepared to leverage AWS IoT to create innovative solutions, enhance their career prospects, and contribute to the IoT-driven digital transformation in their organisations.

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What’s included in this AWS IoT Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS IoT Certificate
  • Digital Delegate Pack

 

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS CloudFormation Training Course Outline

Module 1: Introduction to AWS CloudFormation

  • Overview of AWS CloudFormation
    • What is AWS CloudFormation?
    • Benefits of using AWS CloudFormation
  • Concepts of Infrastructure as Code (IaC)
    • Understanding IaC
    • IaC vs. traditional infrastructure management
  • Key Components of AWS CloudFormation
    • Templates
    • Stacks
    • Change Sets

Module 2: Understanding CloudFormation Templates

  • Structure of a CloudFormation Template
    • JSON and YAML formats
    • Anatomy of a CloudFormation template
  • Core Elements of CloudFormation Templates
    • Resources
    • Parameters
    • Mappings
    • Conditions
    • Outputs
  • Hands-On Lab: Creating Your First CloudFormation Template

Module 3: Working with Stacks

  • Creating and Managing Stacks
    • Creating stacks
    • Updating stacks
    • Deleting stacks
  • Using the AWS Management Console and CLI
    • Command-line tools for stack management
    • GUI interactions in the AWS Console
  • Hands-On Lab: Managing Stacks with AWS Management Console and CLI

Module 4: Advanced Template Features

  • Intrinsic Functions and Conditionals
    • Using built-in functions for dynamic templates
    • Conditional resource creation
  • Nested Stacks
    • Organizing complex architectures
    • Reusing templates
  • Cross-Stack References
    • Sharing resources between stacks
    • Dependence management
  • Hands-On Lab: Implementing Nested Stacks and Cross-Stack References

Module 5: Automation and Integration

  • Automating Deployments
    • Integrating with AWS CodePipeline
    • Continuous Integration/Continuous Deployment (CI/CD) with CloudFormation
  • Using Custom Resources
    • Extending CloudFormation with Lambda
    • Integration with other AWS services
  • Best Practices for Scalability and Security
    • Securing CloudFormation deployments
    • Scalability considerations
  • Hands-On Lab: Building a CI/CD Pipeline with CloudFormation

Module 6: Troubleshooting and Best Practices

  • Troubleshooting Common CloudFormation Issues
    • Stack creation failures
    • Update rollbacks
    • Resource conflicts
  • Optimizing CloudFormation Templates
    • Tips for efficient template design
    • Performance optimization
  • Best Practices in CloudFormation
    • Security best practices
    • Cost optimization
  • Hands-On Lab: Troubleshooting and Optimizing CloudFormation Templates

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Who should attend this AWS CloudFormation Training Course?

The AWS CloudFormation Course is designed for professionals seeking to learn how to provision and manage infrastructure as code using Amazon Web Services (AWS) CloudFormation. This AWS Certification Training Course can be beneficial to various professionals, including:

  • AWS Cloud Engineers
  • Solutions Architects
  • DevOps Engineers
  • Infrastructure Automation Specialists
  • System Administrators
  • Cloud Operations Engineers
  • Application Deployment Engineers

Prerequisites of the AWS CloudFormation Training

There are no formal prerequisites to attend the AWS CloudFormation Course. However, a basic understanding of Infrastructure as Code (IaC) and cloud computing would be beneficial to delegates.

AWS CloudFormation Training Course Overview

The AWS CloudFormation Course introduces delegates to AWS CloudFormation, a service that enables automated provisioning and management of AWS resources. As cloud computing becomes ubiquitous, automating infrastructure deployment is crucial for scalability, efficiency, and cost-effectiveness in managing complex cloud environments.

Mastering AWS CloudFormation is essential for IT professionals, developers, and system architects responsible for deploying and managing AWS infrastructure. Understanding CloudFormation allows professionals to automate resource provisioning, maintain consistency, and easily replicate infrastructure across environments, enhancing agility and reducing manual configuration errors.

The Knowledge Academy's 1-day training equips delegates with practical skills in using AWS CloudFormation to automate infrastructure deployment. Delegates learn how to create and manage CloudFormation templates, leverage best practices for infrastructure as code (IaC), and automate resource provisioning efficiently.

Course Objectives

  • To understand the fundamentals of AWS CloudFormation and infrastructure as code (IaC)
  • To learn how to develop, manage, and deploy CloudFormation templates
  • To automate the provisioning and administration of AWS resources
  • To implement best practices for CloudFormation stack management and version control
  • To troubleshoot and debug CloudFormation templates effectively
  • To integrate CloudFormation into CI/CD pipelines for seamless application deployment

Upon course completion, delegates will possess the knowledge and skills to automate AWS infrastructure deployment using CloudFormation, streamlining operations, improving scalability, and reducing manual effort and errors in managing cloud environments.

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What’s included in this AWS CloudFormation Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS CloudFormation Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Simple Notification Service Training Course Outline

Module 1: What is Amazon SNS?

  • Features and Capabilities
  • Related Services
  • Accessing Amazon SNS
  • Pricing for Amazon SNS
  • Common Amazon SNS Scenarios
  • Working with AWS SDKs

Module 2: Configuring Amazon SNS

  • Creating a Topic
  • Subscribing to a Topic
  • Deleting a Subscription and Topic
  • Tagging

Module 3: Message Ordering and Deduplication

  • FIFO Topics Use Case
  • Message Ordering Details
  • Message Grouping, Delivery, and Filtering
  • Message Deduplication, Security, and Durability

Module 4: Message Publishing and Filtering

  • Large Message Payloads
  • Message Attributes
  • Message Batching

Module 5: Message Delivery

  • Features and Capabilities
  • Message and Raw Message Delivery
  • Cross-Account and Region Delivery
  • Message Delivery Status and Retries
  • Dead-Letter Queues (DLQs)
  • Message Archiving and Analytics

Module 6: Application-to-Application Messaging

  • Fanout to Kinesis Data Firehose Delivery Streams
  • Fanout to Lambda Functions
  • Fanout to Amazon SQS Queues
  • Subscribing a Queue to a Topic
  • Fanout to HTTP/S Endpoints
  • Fanout to AWS Event Fork Pipelines

Module 7: Application-to-Person (A2P) Messaging

  • Features and Capabilities
  • Application-to-Person (A2P) Messaging
  • Mobile Text Messaging (SMS)
  • Mobile Push Notifications
  • Email Notifications

Module 8: Security and Troubleshooting

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • Troubleshooting

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Who Should Attend the Amazon Simple Notification Service Training Course?

The Amazon Simple Notification Service Training Course is designed for professionals seeking to learn how to effectively use Amazon Web Services (AWS) SNS for building scalable and reliable messaging systems. This course will benefit various professionals, including:

  • Software Engineers
  • DevOps Engineers
  • Systems Administrators
  • Web Developers
  • Mobile Developers
  • IoT Developers
  • Product Managers

Prerequisites of the Amazon Simple Notification Service Training Course

There are no formal prerequisites to attend the Amazon Simple Notification Service (SNS) Training Course. However, a basic understanding of messaging and cloud computing would be beneficial.

Amazon Simple Notification Service (SNS) Training Course Overview

Amazon Simple Notification Service (SNS) is a web service that coordinates and manage the delivery of messages to subscribing endpoints or clients. There are two types of clients- publishers and subscribers. Publishers communicate asynchronously with the subscriber by producing and sending a message to a topic, which is a logical access point and communication channel. Subscriber consumes or receives the message over one of the supported protocols when they are subscribed to the topic.

In this course, delegates will learn how Amazon SNS works. They will also learn about Amazon SNS for System-to-System Messaging with AWS Lambda Function, Amazon SQS Queue, and HTTP/HTTPS endpoint as a subscriber. This course teaches delegates about monitoring, logging, and troubleshooting Amazon SNS topics. Post completion of this training, delegates will also learn how to secure Amazon SNS.

Course Objectives

  • To understand core features and capabilities of Amazon SNS
  • To configure topics, subscriptions, and manage message lifecycles
  • To implement message ordering, deduplication, and filtering strategies
  • To publish and deliver large messages reliably across applications
  • To integrate fanout messaging with SQS, Lambda, and endpoints
  • To utilise application-to-person messaging for SMS, push, and email

After attending this training, delegates will be able to design, configure, and manage Amazon SNS solutions for both application-to-application and application-to-person messaging scenarios. They will be capable of creating topics, managing subscriptions, and ensuring reliable and ordered message delivery across distributed systems. Delegates will also be able to apply fanout patterns, integrate SNS with other AWS services, and implement security and monitoring best practices. With these skills, they will help their organisations build scalable, fault-tolerant, and efficient communication workflows in the cloud.

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What’s included in this Amazon Simple Notification Service Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Simple Notification Service Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Aurora Training Course Outline

Module 1: Introduction to AWS Aurora

  • What is Aurora?
  • Aurora DB Clusters
  • Aurora Versions
  • Regions and Availability Zones
  • Supported Aurora Features by Region and Engine
  • Aurora Connection Management
  • DB Instance Classes
  • Aurora Storage and Reliability
  • Aurora Security
  • High Availability for Amazon Aurora
  • Replication with Aurora

Module 2: Configuring Your Aurora DB Cluster

  • Creating a DB Cluster
  • Creating Resources with AWS CloudFormation
  • Using Aurora Global Databases
  • Working with Parameter Groups

Module 3: Managing an Aurora DB Cluster

  • Stopping and Starting a Cluster
  • Modifying an Aurora DB Cluster
  • Adding Aurora Replicas
  • Managing Performance and Scaling
  • Cloning a Volume for an Aurora DB Cluster
  • Integrating with AWS Services
  • Maintaining an Aurora DB Cluster
  • Rebooting an Aurora DB Cluster or Instance
  • Deleting Aurora Clusters and Instances
  • Tagging RDS Resources
  • Working with ARNs

Module 4: Monitoring an Aurora DB Cluster

  • Overview of Monitoring
  • Viewing Key Monitoring Information
  • Monitoring Aurora DB Cluster Metrics
  • Working with Amazon RDS Events
  • Working with Database Logs
  • Working with AWS CloudTrail

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Who should attend this AWS Aurora Training?

The AWS Aurora Course is a comprehensive training course designed for professionals aiming to learn about Amazon Web Services Aurora database service and its features. This AWS Certification Training can be beneficial to a wide range of professionals, including:

  • Database Administrators
  • Database Engineers
  • Data Architects
  • Cloud Engineers
  • Solutions Architects
  • Cloud Operations Engineers
  • DevOps Engineers

Prerequisites of the AWS Aurora Training Course

There are no formal prerequisites to attend the AWS Aurora Course. However, a basic understanding of cloud computing and relational databases would be beneficial to delegates.

AWS Aurora Training Course Overview

AWS Aurora is a cutting-edge relational database service offered by Amazon Web Services that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Where data plays a pivotal role in business success, understanding and mastering AWS Aurora is crucial for organisations and IT professionals.

Proficiency in AWS Aurora is essential for IT professionals, database administrators, developers, and anyone working with databases in the cloud. With the growing adoption of AWS and the need for scalable, reliable, and high-performance databases, mastering AWS Aurora is a career-enhancing skill. This training course is designed to cater to beginners seeking to establish a solid foundation and experienced AWS users seeking to deepen their expertise.

This 2-day training course by The Knowledge Academy will equip delegates with the knowledge and practical skills to effectively deploy, manage, and optimise AWS Aurora databases. Delegates will learn about the architecture, best practices, and advanced features of AWS Aurora, enabling them to improve database performance, reduce costs, and ensure high availability. Hands-on exercises and real-world scenarios will reinforce learning, empowering delegates to implement what they've learned in their AWS environments.

Course Objectives

  • To Understand the fundamentals of AWS Aurora architecture
  • To learn how to provision and configure Aurora database instances
  • To implement best practices for optimising Aurora database performance
  • To explore data security and compliance considerations in Aurora
  • To master database backups, replication, and failover strategies
  • To troubleshoot common issues and monitor Aurora databases effectively
  • To gain insights into scaling Aurora for high-demand workloads
  • To ensure high availability and disaster recovery for Aurora databases

After successful completion of this AWS Training Course, delegates will be well-prepared to leverage AWS Aurora effectively in their organisations. They will receive a certification of completion and access to valuable resources to further enhance their AWS skills.

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What’s included in this AWS Aurora Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Aurora Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Lambda Training Course Outline

Module 1: Introduction to AWS Lambda

  • Overview of AWS Lambda
  • What is AWS Lambda?
  • Lambda Features and Related Services
  • Accessing AWS Lambda

Module 2: Setting Up AWS Lambda

  • AWS Account and Tools Setup
  • AWS Serverless Application Model (SAM)

Module 3: Lambda Function Configuration and Management

  • Lambda Foundations
  • Managing Lambda Functions

Module 4: Security and Best Practices for Lambda

  • Security and Best Practices

Module 5: Working with Lambda in Various Programming Environments

  • Using Lambda with Node.js
  • Using Lambda with Python
  • Using Lambda with Ruby
  • Using Lambda with Java
  • Using Lambda with Go
  • Using Lambda with C
  • Using Lambda with PowerShell

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Who Should Attend the AWS Lambda Training Course?

The AWS Lambda Training Course is designed for professionals interested to learning serverless computing and building event-driven applications using Amazon Web Services (AWS) Lambda. This course will benefit the following professionals:

  • Software Developers
  • DevOps Engineers
  • Cloud Engineers
  • Systems Engineers
  • Machine Learning Engineers
  • Security Engineers
  • IT Managers

Prerequisites of the AWS Lambda Training Course

There are no formal prerequisites to attend the AWS Lambda Training Course.

AWS Lambda Training Course Overview

This AWS Lambda Training Course offers an in-depth understanding of serverless computing and how it can benefit businesses and IT environments. AWS Lambda is a pivotal service within the Amazon Web Services (AWS) ecosystem that allows developers to run code without managing servers. It is widely used for building scalable applications, making it essential for professionals in cloud computing.

Proficiency in AWS Lambda is crucial for professionals who work with cloud infrastructure or serverless architectures. IT developers, system administrators, and cloud architects should consider mastering AWS Lambda to enhance their skills and optimise business processes by reducing operational costs and improving scalability.

This 1-days training course will equip delegates with the skills needed to design and deploy AWS Lambda functions efficiently. Through practical exercises and real-world scenarios, delegates will gain hands-on experience with Lambda triggers, scaling, and optimising serverless workflows. The course is designed to fast-track understanding and application of AWS Lambda capabilities.

Course Objectives

  • To understand the basics of AWS Lambda and serverless computing
  • To deploy Lambda functions and manage their lifecycle
  • To learn how to integrate Lambda with other AWS services
  • To explore real-world use cases for AWS Lambda
  • To gain insight into monitoring and troubleshooting Lambda functions
  • To optimise the performance of serverless applications

After completing this AWS Lambda Training Course, delegates will receive a certification, demonstrating their ability to work with AWS Lambda. This certification will validate their skills in building and managing serverless applications, further enhancing their career opportunities in cloud computing.

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What’s included in this AWS Lambda Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Lambda Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon WorkSpaces Training Course Outline

Module 1: Introduction to Amazon WorkSpaces

  • What is Amazon WorkSpaces?
  • Key Use Cases and Benefits
  • Core Features Overview
  • Amazon WorkSpaces Architecture and Components

Module 2: Network and Security Essentials

  • Overview of Network and Security in WorkSpaces
  • Configuring VPC for WorkSpaces
  • IP Addressing and Port Requirements
  • Internet Access and NAT Considerations
  • Security Groups and IP Access Control Groups
  • Device Access Control and Trusted Devices
  • Authentication Methods (MFA, AD Integration)

Module 3: Directory Services and WorkSpaces Management

  • Introduction to Directory Services
  • Registering and Managing Directories 
  • Launching and Managing WorkSpaces
  • Managing Windows and Linux WorkSpaces
  • User and Session Management

Module 4: Monitoring and Maintenance

  • Monitoring with Amazon CloudWatch Metrics
  • Key Metrics and Dimensions for WorkSpaces
  • Health and Performance Monitoring
  • Backup and Restore Options
  • Cost Optimisation Tips

Module 5: Troubleshooting and Best Practices

  • Enabling and Using Advanced Logging
  • Common Issues and Resolution Steps
  • Troubleshooting Connectivity and Login Failures
  • Best Practices for Administration and Scaling

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Who Should Attend the Amazon WorkSpaces Training Course?

The Amazon WorkSpaces Training Course is designed for professionals who want to master the setup, management, and optimisation of Amazon WorkSpaces, Amazon's fully managed desktop computing service. This course is beneficial to professionals, such as:

  • IT Administrators
  • System Administrators
  • Cloud Engineers
  • Solutions Architects
  • DevOps Engineers
  • Technical Leads
  • Operations Managers
  • IT Managers

Prerequisites of the Amazon WorkSpaces Training Course

There are no formal prerequisites to attend the Amazon WorkSpaces Training Course. However, a basic understanding of cloud computing and operating system concepts can be beneficial.

Amazon WorkSpaces Training Course Overview

Amazon WorkSpaces is a cloud-based desktop-as-a-service (DaaS) solution that allows organisations to provision virtual, secure desktops in the cloud. This innovative service enables users to access their applications and data from any device, improving flexibility, productivity, and collaboration. As businesses increasingly embrace remote work and digital transformation, the need for scalable, secure, and cost-effective desktop solutions like Amazon WorkSpaces has become essential.

Professionals such as IT administrators, system engineers, cloud architects, and DevOps engineers will greatly benefit from this course. Additionally, business managers and project leaders looking to optimise their organisational infrastructure for remote work will find this training invaluable. Understanding Amazon WorkSpaces will empower these professionals to manage resources efficiently and enhance overall organisational performance.

This 1-day course by The Knowledge Academy provides delegates with essential skills to deploy and manage Amazon WorkSpaces effectively. Delegates will learn to configure virtual desktops, manage user access, and optimise performance, enabling them to leverage the full potential of this powerful cloud solution for their organisations.

Course Objectives

  • To understand the architecture of Amazon WorkSpaces
  • To configure and launch virtual desktops
  • To manage user access and permissions
  • To monitor and optimise WorkSpaces performance
  • To integrate with AWS services for enhanced functionality
  • To troubleshoot common issues and implement best practices

Upon completion of the course, delegates will possess the practical skills needed to implement and manage Amazon WorkSpaces effectively, driving productivity and flexibility within their organisations while ensuring a secure and scalable desktop environment for users.

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What’s included in this Amazon WorkSpaces Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon WorkSpaces Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS DynamoDB Training Course Outline

Module 1: What is Amazon DynamoDB?

  • Additional Resources for Amazon DynamoDB
  • Setting up DynamoDB
  • Accessing DynamoDB

Module 2: Getting Started with DynamoDB

  • Create a Table
  • Write Data
  • Read Data
  • Update Data
  • Create a Global Secondary Index

Module 3: Programming with DynamoDB

  • Overview of AWS SDK Support for DynamoDB
  • Higher-Level Programming Interfaces
  • Running the Code Examples

Module 4: In-Memory Acceleration with DAX

  • How it Works
  • DAX Cluster Components
  • Creating a DAX Cluster
  • Consistency Models
  • DAX T3/T2 Burstable Instances

Module 5: Data Modeling

  • Data Modeling Foundations
  • Data Modeling Building Blocks
  • Data Modeling Schema Design Packages

Module 6: Monitoring and Troubleshooting

  • Logging and Monitoring in DynamoDB
  • Logging and Monitoring in DAX
  • Contributor Insights
  • Using User Notifications with Amazon DynamoDB
  • Latency
  • Throttling

Module 7: Integrating with Other AWS Services

  • Integrating with Amazon Cognito
  • Integrating with Amazon Redshift
  • Integrating with Amazon EMR
  • Integrating with S3
  • Quotas and Limits
  • API Reference

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Who Should Attend the AWS DynamoDB Training Course?

The AWS DynamoDB Training Course is designed to enable professionals to gain proficiency in Amazon Web Services (AWS) DynamoDB, a NoSQL database service.  This course will help professionals, including:

  • Cloud Architects
  • Database Administrators
  • Software Developers
  • Data Engineers
  • DevOps Engineers
  • System Administrators
  • Solutions Architects
  • IT Managers

Prerequisites of the AWS DynamoDB Training Course

There are no formal prerequisites to attend the AWS DynamoDB Training Course. However, a basic understanding of Java programming and query languages would be beneficial.

AWS DynamoDB Training Course Overview

AWS DynamoDB is a fully managed NoSQL database service designed for high availability and scalability, enabling developers to build applications that can handle large volumes of data with low latency. As businesses increasingly rely on real-time data processing and analytics, understanding DynamoDB's capabilities is essential for creating efficient and resilient applications. Its flexible data model and seamless integration with other AWS services make it a critical tool for modern cloud-based architectures.

Professionals who will benefit from this course include developers, data engineers, cloud architects, and IT professionals seeking to leverage DynamoDB for building scalable applications. Additionally, product managers and data analysts looking to gain insights into database management will find the course invaluable for understanding how to effectively store and retrieve data using AWS services.

This 2-days course by The Knowledge Academy equips delegates with practical skills in implementing and managing DynamoDB. Delegates will learn how to create, configure, and optimise DynamoDB tables, as well as integrate them with other AWS services. This course will enhance their ability to develop applications that require fast and predictable performance, ensuring they can meet modern business demands.

Course Objectives

  • To understand the core concepts of AWS DynamoDB
  • To create and configure DynamoDB tables
  • To manage data effectively using DynamoDB
  • To implement DynamoDB best practices for performance optimisation
  • To integrate DynamoDB with other AWS services
  • To troubleshoot common issues related to DynamoDB

Upon completion of the course, delegates will have the expertise to design and implement DynamoDB solutions in real-world applications, allowing them to optimise data storage and retrieval while ensuring high performance and scalability in cloud environments.

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What’s included in this AWS DynamoDB Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS DynamoDB Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Virtual Private Cloud (VPC) Training Course Outline

Module 1: Working of Amazon VPC

  • What is Amazon VPC?
  • Subnets
  • IP Addressing
  • Route Tables
  • Access Internet
  • AWS Private Global Network Considerations

Module 2: Virtual Private Clouds

  • VPC’s Working
  • Default VPC’s
  • DHCP Option Sets
  • DNS Attributes

Module 3: Subnets

  • Work with Subnets
  • Subnet CIDR Reservations
  • Managed Prefix Lists
  • Route Tables
  • Network ACLs

Module 4: Connect VPC

  • Egress-Only Internet Gateways
  • NAT Devices
  • AWS Transit Gateway
  • AWS Virtual Private Network

Module 5: Security

  • Data Protection
  • Infrastructure Security
  • Identity and Access Management
  • Security Groups

Module 6: Advanced Amazon Virtual Private Cloud

  • VPC Endpoint Overview
  • Gateway VPC Endpoints
  • IP Addressing Features

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Who Should Attend the Amazon Virtual Private Cloud Training Course?

The Amazon Virtual Private Cloud Training Course is designed for professionals aiming to develop expertise in creating, configuring, and managing isolated network environments within the Amazon Web Services cloud. This course will benefit the following professionals:

  • Cloud Architects
  • Solutions Architects
  • Network Engineers
  • DevOps Engineers
  • System Administrators
  • IT Managers
  • Security Engineers
  • Infrastructure Manager

Prerequisites of the Amazon Virtual Private Cloud Training Course

There are no formal prerequisites to attend the Amazon Virtual Private Cloud Training Course. However, a basic understanding of cloud computing and networking can be beneficial.

Amazon Virtual Private Cloud (VPC) Training​ Course Overview

Amazon Virtual Private Cloud (VPC) allows customising the virtual network for the launch of AWS resources. The customising activity is performing in an isolated section of the AWS cloud environment, and it will enable having complete control over the defined virtual networking environment. This environment of network contains IP address range, creation of subnets configuration of route tables and network gateways. For security, use IPv4 and IPv6 in Virtual Private Cloud, which will give the high availability of resources and applications.

This 1-day course will welcome delegates with the knowledge of virtual private cloud as well as VPC networking components. Delegates will get an understanding of security groups, subnets, Network Address Translation (NAT), and Virtual Private Network (VPN). This course comprises all end to end key points of networking knowledge content.

Course Objectives

  • To understand the architecture and working of Amazon VPC
  • To configure subnets, route tables, and IP addressing schemes
  • To manage connectivity with NAT devices and VPN gateways
  • To secure VPC environments using IAM roles and security groups
  • To apply infrastructure security and data protection best practices
  • To integrate VPC with AWS Transit Gateway and endpoints

After attending this training, delegates will be able to design and deploy customised Amazon VPC environments tailored to organisational requirements. They will be capable of creating subnets, configuring routing, and managing connectivity through secure gateways and NAT devices. Delegates will also be able to enforce security policies, integrate IAM, and apply infrastructure protection to safeguard workloads. With these capabilities, they will support their organisations in building reliable, scalable, and secure AWS networking solutions that align with best practices.

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What’s included in this Amazon Virtual Private Cloud Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Virtual Private Cloud Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Redshift Training Course Outline

The following module series is designed to provide quality training. Delegates will gain knowledge from bottom to top-level in data warehousing and understand cloud cluster and Amazon Redshift as well.

Module 1: Introduction to Amazon Redshift

  • What is Amazon Redshift?
  • Benefits
  • Data Warehouse System Architecture
  • Performance
  • Columnar Storage
  • Workload Management

Module 2: Automatic Table Optimisation

  • Working with Column Compression
  • Working with Data Distribution Styles
  • Working with Sort Keys
  • Table Constraints

Module 3: Updating Data

  • Update with DML

Module 4: Sharing Data Across Clusters

  • Data Sharing Overview
  • Amazon Redshift Data Sharing
  • Data Sharing Lifecycle

Module 5: Managing Database Security

  • Amazon Redshift Security Overview
  • Default Database User Privileges

Module 6: SQL Reference and Configuration Reference

  • Amazon Redshift SQL
  • SQL, SQL Commands, and Functions Reference
  • Modify the Server Configuration

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Who Should Attend the Amazon Redshift Training Course?

The Amazon Redshift Training Course is designed for individuals who want to master Amazon's data warehousing solution for analysing large datasets. This course will benefit the following professionals:

  • Data Analysts
  • Business Intelligence Professionals
  • Data Engineers
  • Data Scientists
  • Database Administrators
  • ETL Developers
  • Cloud Architects
  • Analytics Managers

Prerequisites of the Amazon Redshift Training Course

There are no formal prerequisites to attend the Amazon Redshift Training Course. However, a basic understanding of cloud computing and relational databases can be beneficial.

Amazon Redshift Training​ Course Overview

The Amazon always provides the quality products and services to the development environment as a cloud computing platform provider. Amazon presented the data warehouse technology as Amazon Redshift product. Technically, Amazon Redshift is a reliable, fast, fully managed petabyte-scale cloud-based data warehouse product, and it is continuously responding to the large-scale data migration. All these features of Amazon redshift help majority of organisations to grow fast and provide an excellent opportunity to get in an IT profession.

This 1-day course will teach delegates about Redshift fundamentals. From this training, delegates will learn about what is a data warehouse and Amazon redshift. Delegates will get an understanding of its architecture and features as well. This course also includes a data loading module, and delegates will gather knowledge of data distribution concepts and learn about troubleshooting strategies.

During this course, delegates will also be introduced to data integration, analysis, and visualisation with Redshift. On course completion, delegates will get a better understanding of Amazon Redshift and will be able to manage the data warehouse with Amazon Redshift and use it accordingly.

Course Objectives

  • To configure automatic table optimisation with compression and keys
  • To manage data updates efficiently using Redshift DML operations
  • To implement secure data sharing across multiple Redshift clusters
  • To configure database security and manage user privileges effectively
  • To apply Redshift SQL commands for advanced data queries
  • To optimise performance using distribution styles and sort key strategies

After attending this training, delegates will be able to design and operate Amazon Redshift clusters tailored to organisational data warehousing needs. They will be capable of implementing table optimisation, managing large datasets with compression and distribution techniques, and using Redshift SQL for powerful data queries. Delegates will also be able to apply robust security practices, share data across clusters securely, and optimise performance through workload management.

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What’s included in this Amazon Redshift Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Redshift Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Introduction to AWS Security Course Outline

Module 1: Introduction to Cloud Security

  • What is Cloud Security?
  • Benefits of Cloud Security

Module 2: Secure Global Infrastructure and Compliance

  • Region, Availability Zones
  • VPC Endpoints
  • IAM and Compliance

Module 3: Secure Responsibility and Trusted Advisor

  • Shared Responsibility Model
  • Trusted Advisor

Module 4: Identity and Access Management (IAM)

  • Root User
  • Users and Groups
  • Roles and Policies
  • Access Advisor

Module 5: Encryption Essentials

  • Symmetric and Asymmetric Encryption
  • HSM and KMS
  • Create a Symmetric Key

Module 6: Operating System-Level Access

  • SSH Overview
  • Bastion Host
  • Linux Examples
  • Windows Remote Desktop Example
  • Window PuTTY Example

Module 7: Introduction to Data Security

  • Securing Data in Amazon S3 Glacier
  • Securing Data at Rest: EBS and RDS
  • Securing Data at Rest: DynamoDB and EMR
  • Securing Data in Transit
  • Data Protection in Amazon S3

Module 8: Operating System Security

  • Custom AMIs and Bootstrapping
  • AWS Systems Manager- Patching
  • Mitigating Malware

Module 9: Infrastructure Security

  • VPC Security
  • Network Segmentation
  • AWS Web Application Firewall and Shield
  • Testing Security
  • Threat Protection Layers

Module 10: Monitoring, Alerting, and Auditing

  • Basics of Monitoring
  • AWS Config
  • AWS System Manager- Inventory
  • AWS Inspector
  • AWS GuardDuty
  • Config to Audit Resources

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Who should attend this Introduction to AWS Security Course?

The Introduction to AWS Security Course is designed for professionals seeking to understand the fundamental concepts of securing applications and data in the Amazon Web Services environment. This course can be beneficial to various professionals, including:

  • IT Managers
  • Security Analysts
  • Network Engineers
  • Cloud Architects
  • DevOps Engineers
  • System Administrators
  • Software Developers
  • Compliance Officers

Prerequisites of the Introduction to AWS Security Course

There are no formal prerequisites to attend the Introduction to AWS Security Course. However, a basic understanding of security and cloud computing would benefit delegates.

Introduction to AWS Security Course Overview

This Introduction to AWS Security Course offered by The Knowledge Academy emerges as a critical learning opportunity. This course delves into Amazon Web Services (AWS) security, emphasising its profound relevance in safeguarding sensitive data and ensuring the integrity of cloud-based systems.

Proficiency in AWS Security is paramount for IT Professionals, Cloud Architects, and Security Specialists. Mastery of this subject empowers them to protect valuable digital assets, mitigate vulnerabilities, and adhere to compliance standards, ultimately fortifying their organisation's cyber defences.

This 1-day training by The Knowledge Academy, equips delegates with a comprehensive understanding of AWS Security. Delegates will learn to implement robust security measures, configure AWS services securely, and respond effectively to security incidents. The course blends theory and hands-on exercises, ensuring practical knowledge transfer.

Course Objectives

  • To understand AWS Security Fundamentals
  • To learn about Identity and Access Management (IAM) best practices
  • To explore encryption techniques for data protection
  • To master AWS Security Groups and Network ACLs
  • To gain insights into AWS CloudTrail and AWS Config
  • To implement incident response and disaster recovery strategies
  • To ensure compliance through AWS Security services

After completing this course, delegates will have the skills and knowledge to secure AWS environments effectively. They can confidently contribute to improving their organisation's cloud security, protecting data, and mitigating potential threats.

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What’s included in this Introduction to AWS Security Course?

  • World-Class Training Sessions from Experienced Instructors
  • Introduction to AWS Security Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Kinesis Training Course Outline

Module 1: What is Amazon Kinesis Data Streams?

  • What to do with Kinesis Data Streams?
  • Benefits of Using Kinesis Data Streams
  • Kinesis Data Streams High-Level Architecture and Terminology

Module 2: Setting Up for Amazon Kinesis Data Streams

  • Sign Up for AWS
  • Download Libraries and Tools
  • Configure Development Environment
  • Install and Configure the AWS CLI
  • Perform Kinesis Data Stream Operations

Module 3: Creating and Managing Streams

  • Choosing the Data Stream Capacity Mode
  • Creating a Stream with AWS Management Console and APIs
  • Updating and Listing Stream
  • Listing Shards
  • Deleting and Resharding Stream
  • Changing the Data Retention Period
  • Tagging Streams in Amazon Kinesis Data Streams

Module 4: Writing Data to Amazon Kinesis Data Streams

  • Developing Producers Using the Amazon Kinesis Producer Library
  • Developing Producers Using the Amazon Kinesis Data Streams API
  • Writing to Amazon Kinesis Data Streams Using Kinesis Agent
  • Troubleshooting Amazon Kinesis Data Streams Producers

Module 5: Reading Data from Amazon Kinesis Data Streams

  • Developing Consumers Using AWS Lambda
  • Developing Consumers Using Amazon Kinesis Data Analytics
  • Developing Consumers Using Amazon Kinesis Data Firehose
  • Using the Kinesis Client Library
  • Developing Custom Consumers with Shared Throughput
  • Developing Custom Consumers with Dedicated Throughput
  • Troubleshooting Kinesis Data Streams Consumers

Module 6: Monitoring Amazon Kinesis Data Streams

  • Monitoring the Amazon Kinesis Data Streams Service with Amazon CloudWatch
  • Monitoring Kinesis Data Streams Agent Health with Amazon CloudWatch
  • Logging Amazon Kinesis Data Streams API Calls with AWS CloudTrail
  • Monitoring the Kinesis Client Library with Amazon CloudWatch
  • Monitoring the Kinesis Producer Library with Amazon CloudWatch

Module 7: Security in Amazon Kinesis Data Streams

  • Data Protection in Amazon Kinesis Data Streams
  • Controlling Access to Amazon Kinesis Data Streams Resources Using IAM
  • Compliance Validation for Amazon Kinesis Data Streams
  • Resilience in Amazon Kinesis Data Streams
  • Infrastructure Security in Kinesis Data Streams

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Who Should Attend the Amazon Kinesis Training Course?

The Amazon Kinesis Training Course is designed for professionals who want to gain proficiency in working with Amazon Web Services Kinesis, a platform for real-time data streaming and analytics. This course will be beneficial to the following professionals:

  • Data Engineers
  • Data Analysts
  • Solutions Architects
  • Software Developers
  • Cloud Engineers
  • Big Data Specialists
  • Streaming Data Analysts

Prerequisites of the Amazon Kinesis Training Course

There are no formal prerequisites to attend the Amazon Kinesis Training Course. However, a basic understanding of streaming data and cloud computing would be beneficial.

Amazon Kinesis Training Course Overview

Amazon Kinesis is an Amazon Web Service (AWS) to process big data in real-time. Kinesis can process hundreds of terabytes per hour from high volumes of streaming data from different sources like financial transactions, operating logs, and social media feeds. This Amazon Kinesis Training is designed to provide a comprehensive knowledge on the working of Amazon Kinesis – Data streams, video streams, data analytics, data firehose, and Agent for Microsoft Windows.

In this 1-day course, delegates will learn about producer libraries and parser library. Also, delegates will learn how to troubleshoot kinesis video streams. They will get an understanding of how to set up kinesis data streams and how to create and manage Amazon Kinesis data streams. Delegates will become familiarised with data streams terminologies and concepts.

The Knowledge Academy’s Amazon Kinesis Training will teach delegates about how to create kinesis data firehose delivery stream. Delegates will be equipped with the knowledge of how to test delivery system and send data to kinesis data firehose delivery streams. Furthermore, they will learn how to use kinesis data firehose with AWS PrivateLink. Post completion of this training, delegates will learn about Amazon kinesis data analytics for SQL and Java applications. Also, they will get familiarised with the working of Amazon kinesis agent for Microsoft windows.

Course Objectives

  • To understand architecture and components of Amazon Kinesis Data Streams
  • To set up development environments and configure AWS CLI
  • To create, manage, and scale Kinesis data streams efficiently
  • To write streaming data using producers and Kinesis APIs
  • To develop consumers using Lambda, Analytics, and Firehose
  • To monitor data streams performance with Amazon CloudWatch

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What’s included in this Amazon Kinesis Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Kinesis Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon ECS Training Course Outline

This course teaches delegates about the Elastic Container Services and will explore the following topics:

Module 1: Get Started with Amazon ECS

  • Introduction to Amazon ECS
  • Docker Basics for Amazon ECS
  • Getting Started with Amazon ECS Using Fargate

Module 2: AWS Fargate

  • AWS Fargate Platform Version

Module 3: Amazon ECS Cluster

  • Creating a Cluster
  • Scaling a Cluster
  • Updating Cluster Settings
  • Deleting a Cluster

Module 4: Amazon ECS Task Definitions

  • Application Architecture
  • Creating a Task Definition
  • Task Definition Parameters
  • Amazon ECS Launch Types
  • Working with GPUs on Amazon ECS
  • Using Data Volumes in Tasks
  • Task Networking
  • Using the AWSlogs Log Driver
  • Custom Log Routing
  • Private Registry Authentication for Tasks
  • Specifying Sensitive Data
  • Update and Deregistering Definition

Module 5: Explore Account Settings

  • Viewing Account Settings
  • Modifying Account Setting

Module 6: Amazon ECS Container Instance

  • Amazon ECS-Optimised AMI’s
  • Retrieving Amazon ECS-Optimised AMI Metadata
  • Launching a Container Instance
  • Bootstrap Container Instances
  • Elastic Network Interface Trunking
  • Connect to your Container
  • CloudWatch Logs
  • Deregister Container Instance
  • Container Instance Draining
  • Memory Management
  • Managing Container Swap Space
  • Manage Container Instances Remotely

Module 7: Container Agents

  • Installing Amazon ECS Container Agent
  • Container Agent Version
  • Updating Amazon ECS Container Agent
  • Amazon ECS Container Agent Configuration
  • Private Registry Authentication for Container Instance
  • Automated Task and Image Cleanup
  • Container Metadata File
  • Task Metadata Endpoint
  • Amazon ECS Container Agent Introspection
  • HTTP Proxy Configuration

Module 8: Scheduling the Amazon ECS Task​

  • Task Placements: Strategies, Constraints and Cluster Query Language Scheduled Task (Cron)
  • Task Lifecycle, Retirement and Fargate Task Maintenance
  • Task Lifecycle, Retirement and Fargate Task Recycling

Module 9: Overview of Services

  • Service Definition Parameters
  • Deployment Types
  • Service Load Balancing
  • Service Discovery
  • Service Throttle Logic

Module 10: Monitoring Amazon ECS

  • Monitoring Tools
  • CloudWatch Metrics and Events
  • CloudWatch Container Insights
  • Logging Amazon ECS API Calls with CloudTrail

Module 11: Security in Amazon Elastic Container Service

  • Identity and Access Management
  • Logging and Monitoring in Amazon ECS

Module 12: Amazon ECS Command Line Interface

  • Installing and Configuring the Amazon ECS CLI
  • Migrating Configuration Files
  • Creating a Cluster with a Fargate Task and EC2 Task using the Amazon ECS CLI

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Who Should Attend the Amazon ECS Training Course?

The Amazon Elastic Container Service (ECS) Training Course is designed for professionals seeking to master the deployment and management of containerised applications using Amazon ECS. This course will benefit the following professionals:

  • DevOps Engineers
  • Software Engineers
  • Cloud Architects
  • System Administrators
  • Solution Architects
  • Application Developers
  • Technical Leads
  • IT Managers

Prerequisites of the Amazon ECS Training Course

There are no formal prerequisites to attend the Amazon ECS Training Course.

Amazon ECS Training Course Overview

The Amazon ECS Training Course is designed to provide delegates with the essential skills to manage containerised applications using Amazon Elastic Container Service (ECS). This training is crucial as containerisation has become the industry standard for efficient app deployment, scalability, and management. By mastering ECS, delegates can optimise cloud infrastructure and enhance application performance, benefiting both individuals and organisations in today’s tech-driven world.

This course is ideal for IT professionals, DevOps engineers, and cloud architects seeking to gain expertise in container management. By mastering ECS, delegates can enhance their career prospects, improve workflow automation, and lead cloud-native initiatives in their organisations. Understanding ECS enables professionals to stay competitive and be at the forefront of emerging technologies that drive digital transformation.

This 1 Day course, provided by The Knowledge Academy, offers comprehensive instruction in deploying and managing applications using Amazon ECS. By undertaking this training, delegates can gain practical experience, master cloud-based solutions, and effectively contribute to their organisation’s cloud strategy. The knowledge gained equips delegates with the tools needed to optimise performance, reduce costs, and scale applications seamlessly.

Course Objectives

  • To understand the fundamentals of containerisation and ECS
  • To learn how to deploy containerized applications in the cloud
  • To explore ECS service and cluster management
  • To manage ECS tasks and services with automation tools
  • To ensure secure and efficient container environments
  • To integrate ECS with other AWS services for scalability

Upon completing the course, delegates will be proficient in deploying and managing scalable containerised applications on Amazon ECS, ensuring efficiency, security, and performance optimisation. They will be equipped to implement best practices in container orchestration and drive cloud adoption initiatives within their organisations.

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What’s included in this Amazon ECS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon ECS Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS RoboMaker Training Course Outline

Module 1: Getting started

  • Concepts
  • Setting Up
  • Running First Simulation

Module 2: Development

  • Building Application Containers
  • Publishing Application Containers
  • Working with Robot Applications
  • Working with Simulation Applications
  • Versioning Applications
  • Using Images to Develop Applications

Module 3: Simulation

  • Running a Simulation
  • Configuring a Simulation
  • Managing a Simulation
  • Logging a Simulation
  • Batching Simulations

Module 4: Creating worlds

  • Simulation Worldforge Concepts
  • Understanding Simulation World Templates
  • Common Tasks
  • JSON Schema for Simulation World Template Body
  • Sample World Templates in JSON
  • Managing Simulation World Templates
  • Managing World Generation Jobs
  • Managing World Export Jobs
  • Using Exported Worlds in Simulation

Module 5: Security

  • Data Protection
  • Authentication and Access Control
  • Logging and Monitoring
  • Tagging Resources
  • Security Compliance
  • Resilience
  • Infrastructure Security
  • VPC Endpoints (AWS PrivateLink)

Module 6: API reference

  • Actions
  • Data Types
  • Common Errors
  • Common Parameters

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Who should attend this AWS RoboMaker Training?

The AWS RoboMaker Course is designed for professionals interested in robotics development and simulation using the Amazon Web Services (AWS) RoboMaker. This course can be beneficial to a wide range of professionals, which include:

  • DevOps Engineers
  • Robotics Engineers
  • Systems Administrators
  • Product Managers
  • Entrepreneurs
  • Autonomous Systems Engineers
  • Robotics Researchers

Prerequisites of the AWS RoboMaker Training

There are no formal prerequisites to attend the AWS RoboMaker Course. However, a basic understanding of Robotics and Cloud Computing would benefit delegates.

AWS RoboMaker Training Course Overview

The AWS RoboMaker Course introduces delegates to robotics and automation using Amazon Web Services (AWS). These technologies are crucial in industries like manufacturing, logistics, and healthcare. AWS RoboMaker simplifies the development, testing, and deployment of intelligent robots in the cloud.

This course equips delegates with the skills to use AWS RoboMaker effectively, which is vital for professionals in automation and robotics. It's relevant for Robotics Engineers, Software Developers, and those in autonomous vehicles, industrial automation, and IoT. AWS RoboMaker expertise enhances career prospects and supports innovative projects in robotics and AI.

This 1 Day training course is designed to provide delegates with practical skills and knowledge to harness the capabilities of AWS RoboMaker. Through hands-on exercises and real-world scenarios, delegates will become confident using AWS RoboMaker to efficiently build, test, and deploy robotic applications.

Course Objectives

  • To understand the fundamentals of AWS RoboMaker and its role in robotics development
  • To create and configure robotic simulation environments using AWS services
  • To integrate AI and Machine Learning capabilities into robotic systems
  • To implement best practices for testing and debugging robotic applications
  • To manage and scale robotic fleets efficiently on AWS
  • To optimise robotic application performance for real-world deployment
  • To stay updated with the latest trends and developments in cloud robotics

After completing the AWS RoboMaker Training Course, delegates will be well-prepared to address real-world challenges and implement cutting-edge solutions in the rapidly growing field of robotics and automation.

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What’s included in this AWS RoboMaker Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS RoboMaker Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon AppStream Training​ Course Outline

Module 1: What is Amazon AppStream 2.0?

  • Setting Up
  • Set Up with Sample Applications

Module 2: Networking and Access

  • Internet Access and VPC Requirements
  • Amazon S3 VPC Endpoints
  • AppStream 2.0 Connections to Your VPC
  • User Connections to AppStream 2.0

Module 3: Fleets and Stacks

  • Fleet Types
  • Instance Families
  • Create a Fleet and Stack
  • Customise and Updating a Fleet

Module 4: User Authentication

  • AppStream 2.0 User Pools

Module 5: Enable Application Settings Persistence for Your Users

  • How Application Settings Persistence Works
  • Enabling Application Settings Persistence
  • Administer the VHDs for Your Users' Application Settings

Module 6: Manage Application Entitlements

  • Attribute-Based Application Entitlements
  • Dynamic Application Framework

Module 7: Monitoring and Reporting

  • Monitoring Resources
  • Usage Reports
  • Logging AppStream 2.0 API Calls

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Who Should Attend the Amazon AppStream Training Course?

The Amazon AppStream Training Course is tailored for professionals who aim to gain expertise in leveraging Amazon AppStream for secure and scalable application streaming. This course will benefit the following professionals:

  • Cloud Architects
  • System Administrators
  • DevOps Engineers
  • Application Developers
  • IT Managers
  • Solution Architects
  • Software Engineers

Prerequisites of the Amazon AppStream Training Course

There are no formal prerequisites to attend the Amazon AppStream Training Course. However, a basic understanding of cloud computing and virtual machines would be beneficial.

Amazon AppStream Training​ Course Overview

Amazon AppStream is a fully managed application streaming service providing users with instant access to their desktop applications from anywhere. It manages the AWS resources required to host and run applications, scale automatically and provides users access to the applications required on the device of their choice, with a responsive, fluid user experience that is indistinguishable from natively installed applications.

In this 1-day course, delegates will learn how to create an AppStream 2.0 image builder and how to deploy an image builder. They will also learn how to connect to the image builder and install the application. This course explains how to create an AppStream application catalog and how to test an application by using a local user account.

During this course, delegates will get an understanding of how to configure a fleet and network. They will also learn how to create an AppStream 2.0 Stack and streaming URL. In addition, delegates will acquire knowledge of how to manage user access with an AppStream user pool. Post completion of this training, delegates will be able to create and configure network resources manually.

Course Objectives

  • To understand the architecture and features of Amazon AppStream 2.0
  • To configure networking, VPC access, and secure connections
  • To create and manage fleets and stacks for applications
  • To enable and manage user authentication mechanisms effectively
  • To configure application settings persistence for end users
  • To manage application entitlements using attribute-based frameworks

After attending this training, delegates will be able to deploy and manage Amazon AppStream 2.0 environments for delivering applications to end users securely and efficiently. They will be capable of creating fleets and stacks, managing authentication, and configuring application persistence to provide a seamless user experience. Delegates will also be able to monitor usage, generate reports, and ensure that applications are delivered at scale while maintaining security and performance.

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What’s included in this Amazon AppStream Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon AppStream Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS EMR Training Course Outline

Module 1: Introduction to Amazon EMR

  • Overview of Amazon EMR 
  • Understanding Cluster and Nodes 
  • Understand Processing Data
  • Understanding the Architecture
  • Benefits of Amazon EMR 

Module 2: Amazon EMR Notebooks

  • Amazon EMR Notebooks Overview
  • Creating Notebook
  • Notebooks Working Concepts

Module 3: Plan and Configure Clusters with Amazon EMR

  • Configure Cluster Location and Data Storage
  • Using EMR File System
  • Cluster Termination
  • Setting Up AMIs
  • Configuring Cluster Software
  • Configuring Cluster Hardware and Networking
  • Configuring Cluster Debugging

Module 4: Manage Cluster in Amazon EMR

  • Monitoring of Cluster   
  • Scaling Cluster Resources
  • Cloning a Cluster Using the Console

Module 5: Security in Amazon EMR

  • Security Configurations
  • Data Protection in Amazon EMR
  • Kerberos, Secure Socket Shell (SSH)
  • Amazon EC2 Security Groups 

Module 6: Troubleshooting in Cluster

  • Troubleshooting Strategies
  • Tools for Troubleshooting

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Who should attend this AWS EMR Training?

The AWS EMR Course is tailored for professionals seeking to gain expertise in Amazon Web Services Elastic MapReduce, a cloud-based big data processing service. This course can be beneficial to various professionals, including:

  • Data Engineers
  • Data Analysts
  • Data Scientists
  • Big Data Developers
  • Solution Architects
  • Software Engineers
  • DevOps Engineers
  • System Administrators

Prerequisites of the AWS EMR Training Course

There are no formal prerequisites to attend the AWS EMR Course.

AWS EMR Training Course Overview

The AWS EMR, or Amazon Elastic MapReduce, is a powerful cloud service for processing large amounts of data quickly and cost-effectively. Managing and analysing big data is efficiently paramount. AWS EMR plays a key role in enabling organisations to harness the potential of their data, making it a crucial skill for professionals seeking to excel in data analytics and cloud computing.

Proficiency in AWS EMR is vital as it empowers Data Engineers, Data Scientists, and Cloud Architects to process, analyse, and visualise data at scale efficiently. With AWS EMR expertise, professionals can unlock valuable insights, improve decision-making, and reduce operational costs.  AWS EMR Training is particularly relevant for IT Professionals, Data Analysts, and Business Intelligence Experts looking to enhance their career prospects.

In this 1- day AWS EMR Training, provided by The Knowledge Academy, delegates will gain a thorough understanding of AWS Elastic MapReduce (EMR), including its architecture and operational principles.  AWS EMR Training covers cluster planning and configuration for master, task, and core nodes. It also includes hands-on experience with Amazon Machine Images (AMIs) and cluster management. Delegates will acquire knowledge of cluster security and troubleshooting strategies.

Course Objectives

  • To understand the fundamentals of AWS EMR and its role in big data processing
  • To learn to create and manage EMR clusters for different workloads
  • To gain proficiency in utilising Hadoop and Spark on AWS EMR
  • To explore data storage options and integration with AWS services
  • To optimise EMR performance and cost-efficiency
  • To implement security and access controls for data on EMR clusters
  • To analyse and visualise data using EMR and related tools
  • To troubleshoot common issues and best practices for EMR deployment

After successfully completing this AWS EMR Training, delegates will acquire the practical skills and industry-relevant knowledge necessary to confidently address significant data challenges, enhance their organisation's data analytics capabilities.

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What’s included in this AWS EMR Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS EMR Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Managed Blockchain Training​ Course Outline

Module 1: Get Started with AWS Managed Blockchain

  • Introduction to Managed Blockchain
  • Managed Blockchain Concepts
  • Create and Delete a Network
  • Invite Network Members
  • Create KMS Keys

Module 2: Invitation

  • Invitation Overview

Module 3: Work with Peer Nodes

  • Create a Peer Node
  • Using Peer Nodes Metrics

Module 4: Create an Interface VPC Endpoint

  • Create an Interface VPC Endpoint

Module 5: Working with Hyperledger Fabric

  • Develop Chaincode

Module 6: Security

  • Data Protection
  • Authentication and Access Control
  • IAM Policies
  • Configuring Security Groups

Module 7: Tagging Resources

  • Tagging Amazon Managed Blockchain Resources

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Who Should Attend the Amazon Managed Blockchain Training Course?

The Amazon Managed Blockchain Training is designed for professionals interested in understanding and utilising Amazon Web Services (AWS) Managed Blockchain for building, managing, and scaling blockchain networks. This course will benefit the following professionals:

  • Blockchain Developers
  • DevOps Engineers
  • Technical Leads
  • Blockchain Project Managers
  • Cryptocurrency Developers
  • Blockchain Technology Consultants
  • Entrepreneurs

Prerequisites of the Amazon Managed Blockchain Training Course

There are no formal prerequisites to attend the Amazon Managed Blockchain Training Course. However, a basic understanding of blockchain and cloud computing would be beneficial.

Amazon Managed Blockchain Training​ Course Overview

In this course, delegates will learn about Amazon Managed Blockchain. It is a fully managed services to create and maintain a Blockchain network using an open-source framework. Blockchain allows delegates to build an application where multiple parties can securely run the transaction and share data.

During this 1-day course, delegates will learn how to use managed blockchain network quickly and efficiently using AWS CLI and AWS Management Console. Delegates will become familiarised with managed blockchain networks, members and peer nodes. They will gain an understanding of how to create an interface VPC endpoints. They also learn how to automatically managed Blockchain proposal notifications with cloudWsatch events. This course explains how to work with hyperledger fabric and how to protect the data and configure security groups.

Course Objectives

  • To understand the core concepts of AWS Managed Blockchain
  • To create and manage blockchain networks using Managed Blockchain
  • To work with peer nodes and monitor their metrics
  • To create and configure Interface VPC Endpoints for blockchain networks
  • To develop chaincode using Hyperledger Fabric
  • To implement security with authentication, access control, and IAM policies

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What’s included in this Amazon Managed Blockchain Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Managed Blockchain Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Data Warehousing Training on AWS Course Outline

Module 1: Get Started with Data AWS Warehousing

  • Introduction to Data Warehousing
  • Amazon Redshift Components and Resources
  • Benefits of AWS Redshift
  • OLAP VS OLTP

Module 2: Working with Cluster

  • Redshift Architecture
  • Creating a Cluster
  • Managing a Cluster

Module 3: Development Using Redshift

  • SQL Reference and Statements
  • Creating Table
  • Create View and Grant Command
  • Information Schema

Module 4: Table Design and Database Security

  • Table Design
  • Table Tuning
  • Database Security

Module 5: Loading and Unloading Data

  • Loading and Unloading Data
  • System Tables

Module 6: Workload Management and Visualise

  • Workload Management
  • WLMQ Behaviour
  • Visualise

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Who should attend this Data Warehousing Training on AWS?

The Data Warehousing Training on AWS is tailored for professionals seeking to master the intricacies of Data Warehousing using Amazon Web Services (AWS) solutions. This course can benefit a wide range of professionals, including:

  • Data Engineers
  • Data Analysts
  • Business Intelligence Developers
  • Data Architects
  • Database Administrators
  • Solution Architects
  • Data Scientists
  • Analytics Managers

Prerequisites of the Data Warehousing Training on AWS

There are no formal prerequisites to attend the Data Warehousing Training on AWS Course. However, a basic understanding of cloud computing, database technologies, and Data Warehousing concepts can benefit the delegates.

Data Warehousing Training on AWS Course Overview

The Data Warehousing Training on AWS is designed to introduce delegates to the fundamental concepts of Data Warehousing and its implementation on Amazon Web Services (AWS). This course explains the relevance of Data Warehousing in modern business operations. Proficiency in Data Warehousing is essential for professionals in domains like Data Analytics, Business Intelligence, and Data Engineering.

Mastering Data Warehousing on AWS is crucial for Data Engineers, Database Administrators, and IT professionals responsible for managing and analysing large datasets. These professionals need to understand the architecture, tools, and best practices for building and maintaining data warehouses on AWS. Expertise in this area allows them to optimise data storage, streamline data processing, and ensure data availability and security.

This 1-day Data Warehousing Training on AWS offered by The Knowledge Academy equips delegates with the knowledge and practical skills required to design, implement, and manage Data Warehousing solutions on AWS. Delegates will learn to work with Cluster, utilise Amazon Redshift, AWS Glue, and other AWS services to create scalable and cost-effective data warehousing solutions. Real-world scenarios and hands-on labs provide valuable practical experience.

Course Objectives

  • To understand the core principles of Data Warehousing
  • To learn to set up and configure Amazon Redshift clusters
  • To gain proficiency in data loading and transformation with AWS Glue
  • To explore best practices for optimising Data Warehousing on AWS
  • To develop skills in monitoring and securing Data Warehousing solutions

After completing this AWS Course, delegates will be equipped to design, implement, and manage AWS-based Data Warehousing solutions, enhancing their career prospects.

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What’s included in this Data Warehousing Training on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Data Warehousing Training on AWS Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon FSx Training Course Outline

Module 1: Introduction to Amazon FSx

  • What is Amazon Amazon FSx?
  • Supported Clients, Access Methods, and Environments
  • Availability and Durability
  • Working with Active Directory

Module 2: Migrating to Amazon FSx

  • Migrating Files to FSx for Windows File Server
  • Migrating File Share Configurations
  • Migrating DNS Configuration to Use Amazon FSx
  • Cutting Over to Amazon FSx
  • Windows File Server with Microsoft SQL Server
  • Windows File Server with Amazon Kendra

Module 3: Protecting Data

  • Working with Backups
  • Working with Shadow Copies
  • Scheduled Replication

Module 4: Administering File Systems

  • DNS Aliases and File Shares
  • File Access Auditing
  • User Sessions and Open Files
  • Data Deduplication, Storage Quotas, and Shadow Copies
  • Encryption in Transit and Storage Capacity
  • Maintenance Windows

Module 5: Monitoring File Systems

  • Monitoring Tools
  • Monitoring with CloudWatch

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Who Should Attend the Amazon FSx Training Course?

The Amazon FSx Training is tailored for professionals seeking comprehensive knowledge of Amazon FSx, a fully managed file system service that provides highly available and durable shared storage in the cloud. This course will benefit the following professionals:

  • System Administrators
  • Cloud Engineers
  • Storage Administrators
  • DevOps Engineers
  • Solution Architects
  • Technical Leaders
  • IT Managers
  • Data Engineers

Prerequisites of the Amazon FSx Training Course

There are no formal prerequisites to attend the Amazon FSx Training Course. However, a basic understanding of cloud computing and file systems would be beneficial.

Amazon FSx Training​ Course Overview

Amazon FSx for Window file server provides fully managed Microsoft Window file server supported by a fully native Windows file system. It has the features, compatibility, and performance to lift and shift the enterprise application to AWS easily. It also supports a wide set of enterprise windows workloads with fully managed file storage built on Microsoft Windows Server. To access file storage, it has native support for industry-standard server message block protocol and window file system features. It optimised for enterprise performance and features, and consistent sub-millisecond latencies.

In this course, delegates will learn how to map file share to an EC2 instance running window server. They will gain an understanding of how to manage file share, user session and open files. Amazon file server enables you to migrate the existing file datasets fully into your Amazon FSx file systems. In addition, delegates will learn how to protect data with shadow copies and backups. Delegates will gain a comprehensive knowledge of how to deploy multi-AZ file systems. Post completion of this training, delegates will be able to monitor the file system as well as they will get an understanding of file system access control with Amazon VPC.

Course Objectives

  • To understand core concepts and challenges of data analytics
  • To evaluate batch and stream processing methods for big data
  • To analyse structured, semistructured, and unstructured data effectively
  • To apply ETL processes for cleansing and transformation tasks
  • To assess data integrity and ensure consistency across databases
  • To visualise data insights through reporting and BI solutions

After attending this training, delegates will be able to apply AWS analytics fundamentals to manage the complete data lifecycle, from storage and processing to analysis and reporting. They will be capable of selecting appropriate storage methods, applying batch and stream processing, and handling diverse data structures. Delegates will also be able to ensure data quality through cleansing and transformation while generating insights using business intelligence tools.

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What’s included in this Amazon FSx Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon FSx Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Directory Service Training Course Outline

Module 1: AWS Directory Service

  • Introduction to AWS Directory Service
  • AWS Managed Microsoft Active Directory Editions
    • Standard Edition
    • Enterprise Edition

Module 2: Setting Up AWS Directory Service

  • Sign Up for an AWS Account
  • Create an IAM User

Module 3: AWS Managed Microsoft AD

  • Get Started with AWS Managed AD
    • AWS Managed Microsoft AD Prerequisites
    • Create AWS Managed Microsoft AD Directory
  • Key Concept
    • Active Directory Schema
    • Patching and Maintenance
    • Group Managed Service Accounts
    • Kerberos Constrained Delegation
  • Security, Monitoring and Managing AWS Managed Microsoft AD
    • How to Secure and Monitor Directory?
    • Share Directory
    • Join an EC2 Instance to Directory
    • Manage Users and Groups
    • Connect to Your Existing AD Infrastructure
    • Maintain Directory and Grant Access to AWS Resources
    • Enable Access to AWS Application and Services and Management Console
    • Deploy Additional Domain Controllers
    • Application Compatibility Policy for AWS Managed Microsoft AD
  • Troubleshooting AWS Managed Microsoft AD
    • DNS Troubleshooting and Linux Domain Join Errors
    • Unable to Read Import File
    • Syntax Error and Attribute or Value Exists
    • Trust Creation Status Reasons
    • General Tool for Testing Trusts

Module 4: Active Directory Connector

  • AD Connector Prerequisites
  • Create an AD Connector
  • Secure and Monitor AD Connector Directory
  • Join an EC2 Instance to AD Connector
  • Maintain AD Connector
  • Update DNS for AD Connector
  • Application Compatibility Policy for AD Connector
  • Troubleshooting AD Connector

Module 5: IAM Authentication and Access Control

  • Managing Access Permissions
  • Identity-Based Policies (IAM Policies)
  • Active Directory Service API Permissions Reference

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Who should attend this AWS Directory Service Training?

The AWS Directory Service Course is designed for individuals interested in mastering the usage of Amazon Web Services Directory Service for managing and securing directory-based identities and resources. This AWS Certification Training can be beneficial to various professionals, including:

  • Systems Administrators
  • Cloud Engineers
  • DevOps Engineers
  • Security Engineers
  • Application Developers
  • IT Managers
  • Business Analysts

Prerequisites of the AWS Directory Service Training

There are no formal prerequisites to attend the AWS Directory Service Course. However, a basic understanding of directory services and cloud computing would be beneficial to delegates.

AWS Directory Service Training Course Overview

A deep understanding of AWS Directory Service is paramount. This course empowers professionals with the expertise needed to configure and effectively manage directory services, ensuring smooth authentication and authorisation processes and bolstering the overall security of AWS infrastructure.

Proficiency in AWS Directory Service is essential for AWS-certified Cloud Architects, System Administrators, and IT Professionals responsible for managing AWS environments. AWS Directory Service is pivotal in ensuring secure access management and compliance, empowering businesses to utilise AWS securely and efficiently. AWS Certifications like this further emphasise the importance of mastering AWS Directory Service for these roles.

This 2-day intensive training session focused on AWS Directory Services, provides delegates with in-depth knowledge and practical skills for setting up, configuring, and managing directory services on the AWS platform. By the end of the training, attendees will be proficient in implementing identity and access solutions, optimising resource usage, and enhancing security within their AWS infrastructure.

Course Objectives

  • To understand the fundamentals of AWS Directory Service
  • To configure and manage AWS Managed Microsoft AD
  • To implement Multi-Factor Authentication (MFA) for enhanced security
  • To integrate AWS applications with directory services
  • To troubleshoot common directory service issues
  • To optimise AWS resource utilisation
  • To enhance access control and authorisation

After completing this course, delegates will be well-equipped to harness the full potential of AWS Directory Service. They can confidently implement secure and efficient identity and access management solutions, adding value to their organisations and ensuring the integrity of AWS environments. Delegates can expand their AWS skills with The Knowledge Academy’s wide range of AWS Training Courses.

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What’s included in this AWS Directory Service Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Directory Service Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Relational Database Service (RDS) Training Course Outline

Module 1: What is Amazon Relational Database Service?

  • Overview of Amazon RDS
  • How to Work with Amazon RDS?
  • Amazon RDS DB Instances
  • DB Instance Classes
  • Amazon RDS DB Instance Storage
  • Security and Monitoring an Amazon RDS DB Instance
  • Regions, Availability Zones, and Local Zones
  • Multi-AZ Deployments for High Availability
  • DB Instance Billing for Amazon RDS

Module 2: Setting Up for Amazon RDS

  • Sign Up for AWS
  • Create an IAM User
  • Determine Requirements
  • Provide Access to DB Instance in VPC

Module 3: Configuring an Amazon RDS DB Instance

  • Creating an 
    • Amazon RDS DB Instance
    • Multi-AZ DB Cluster
    • Amazon RDS Resources with AWS CloudFormation
  • Connecting to an Amazon RDS DB Instance
  • Using Amazon RDS Proxy
  • Working with Option Groups and Parameter Groups

Module 4: Managing an Amazon RDS DB Instance

  • Stopping an Amazon RDS DB Instance Temporarily
  • Starting an Amazon RDS DB Instance that was Previously Stopped
  • Modifying an Amazon RDS DB Instance and Multi-AZ DB Cluster
  • Upgrading and Maintaining DB Instance Engine Version
  • Renaming and Rebooting DB Instance
  • Rebooting Multi-AZ DB Clusters and Reader DB Instances
  • Working with Read Replicas
  • Tagging Amazon RDS Resources
  • Working with Amazon Resource Names in Amazon RDS
  • Working with Storage for Amazon RDS DB Instances
  • Deleting a DB Instance and Multi-AZ DB Cluster

Module 5: Backing Up and Restoring an Amazon RDS DB Instance

  • Working with Backups
  • Replicating Automated Backups to Another AWS Region
  • Creating DB Snapshot and Multi-AZ DB Cluster Snapshot
  • Restoring from a DB Snapshot
  • Restoring from a Snapshot to a Multi-AZ DB Cluster
  • Copying a Snapshot and Sharing a DB Snapshot
  • Exporting DB Snapshot Data to Amazon S3
  • Restoring a DB Instance to a Specified Time
  • Restoring a Multi-AZ DB Cluster to a Specified Time
  • Deleting a Snapshot

Module 6: Monitoring Metrics in an Amazon RDS Instance

  • Overview of Monitoring Metrics in Amazon RDS
  • Viewing Instance Status and Recommendations
  • Viewing Metrics in the Amazon RDS Console
  • Monitoring Amazon RDS Metrics with Amazon CloudWatch
  • Monitoring DB Load with Performance Insights on Amazon RDS
  • Monitoring OS Metrics with Enhanced Monitoring
  • Metrics Reference for Amazon RDS

Module 7: Security in Amazon RDS

  • Database Authentication with Amazon RDS
  • Data Protection in Amazon RDS
  • Identity and Access Management in Amazon RDS
  • Logging and Monitoring in Amazon RDS
  • Compliance Validation for Amazon RDS
  • Resilience in Amazon RDS
  • Infrastructure Security in Amazon RDS
  • Amazon RDS API and Interface VPC Endpoints
  • Security for Amazon RDS
  • Controlling Access with Security Groups
  • Master User Account Privileges
  • Amazon Virtual Private Cloud VPCs and Amazon RDS

Module 8: Troubleshooting for Amazon RDS

  • Troubleshooting for Amazon RDS
  • Amazon RDS Security Issues
  • Resetting the DB Instance Owner Password
  • Amazon RDS DB Instance Outage or Reboot
  • Amazon RDS DB Parameter Changes
  • Amazon RDS DB Instance Running Out of Storage
  • Amazon RDS Insufficient DB Instance Capacity
  • MySQL and MariaDB Issues

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Who should attend this Amazon Relational Database Service (RDS) Training Course?

The Amazon Relational Database Service (RDS) Course is designed for those who want to get better at database management and deployment. The Amazon Relational Database Service (RDS) Training Course can benefit individuals such as:

  • Database Administrators
  • Solution Architects
  • DevOps Engineers
  • Business Analysts
  • Quality Assurance Engineers
  • Data Scientists
  • E-commerce Managers

Prerequisites of the Amazon Relational Database Service (RDS) Training Course

There are no formal prerequisites for this Amazon Relational Database Service (RDS) Course. However, a basic understanding of Databases can be beneficial for the delegates.

Amazon Relational Database Service (RDS) Training Course Overview

In this course, delegates will learn about the Relational Database Service. It is a web service that makes it easier to set up, operate and scale a relational database in the AWS Cloud. It manages software patching, automatic Failure detection, backup and recovery. In this course delegates will learn about DB instance, it is an isolated database environment in the AWS Cloud. It contains multiple user created databases. Delegates will learn about RDS DB Instance Lifecycle. In this course they will also learn how to create web server and an amazon RDS Database.

In this 1-day course, delegates will learn how to create a MySQL DB Instance and Connect to a Database. In MySQL delegates will learn how to modify DB instance and upgrade a MySQL DB engine. They will also gain an understanding of how to upgrade a MySQL DB snapshot, how to import/export data into MySQL DB Instance and how to work with MySQL replication.

Course Objectives

  • To understand core features and architecture of Amazon RDS
  • To configure DB instances and Multi-AZ deployments correctly
  • To manage storage, backups, and restoration processes effectively
  • To monitor RDS performance metrics with CloudWatch and insights
  • To apply database security, authentication, and compliance practices
  • To administer read replicas and high availability configurations

After attending this training, delegates will be able to design and manage Amazon RDS environments tailored to business needs. They will have the skills to deploy DB instances, configure availability options, and maintain database engines securely and efficiently. Delegates will also be able to apply monitoring and troubleshooting tools to ensure continuous performance and reliability.

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What’s included in this Amazon Relational Database Service (RDS) Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon RDS Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Identity and Access Management (IAM) Training​ Course Outline

Module 1: Introduction to IAM

  • What is IAM?
  • How IAM Works?
  • Permissions and Policies in IAM
  • Security Features Outside IAM

Module 2: Identities

  • Users and User Groups
  • Roles
  • Log Events with CloudTrail

Module 3: Access Management

  • Policies and Permissions
  • Managing IAM Policies

Module 4: Security

  • Data Protection
  • Logging and Monitoring
  • Compliance Validation

Module 5: Access Analyser

  • Resource Types
  • How Access Analyser Works?
  • Access Analyser Findings
  • Access Analyser Policy Validation and Generation

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Who should attend this AWS Identity and Access Management (IAM) Training?

The AWS IAM Training Course is designed for professionals seeking to master the fundamental aspects of Identity and Access Management in Amazon Web Services. This course can be beneficial to various professionals, including:

  • System Administrators
  • Security Professionals
  • Solutions Architects
  • DevOps Engineers
  • Compliance Officers
  • Cloud Security Specialists
  • Technical Leads
  • IT Managers

Prerequisites of the AWS Identity and Access Management (IAM) Training

There are no formal prerequisites to attend the AWS Identity and Access Management Course. However, a basic understanding of cloud computing, networking and identity concepts, and access control concepts can be beneficial to delegates.

AWS Identity and Access Management (IAM) Training Course Overview

AWS Identity and Access Management (IAM) is a critical service that enables organisations to securely manage access to AWS resources. With the growing use of cloud infrastructure, IAM provides essential control over who can access specific resources, ensuring only authorised users have the appropriate permissions. This service helps safeguard sensitive data, maintain compliance, and reduce security risks across cloud environments.

This course is beneficial for cloud architects, system administrators, security engineers, and IT professionals responsible for managing AWS environments. It is also ideal for DevOps engineers and compliance officers who need to enforce security policies, ensuring data protection and regulatory adherence in their organisations.

This 1-day course by The Knowledge Academy equips professionals with the skills needed to configure and manage AWS IAM effectively. Delegates will learn to create and manage users, roles, and policies, ensuring secure and scalable access control in AWS environments.

Course Objectives

  • To understand the core concepts of AWS IAM
  • To create and manage IAM users and groups
  • To implement IAM policies to control resource access
  • To explore IAM roles for cross-account access
  • To learn to audit and monitor IAM activity
  • To enhance security with Multi-Factor Authentication (MFA)
  • To achieve compliance with IAM best practices

After completing this course, delegates will have a strong understanding of AWS IAM, enabling them to implement strong security measures and maintain compliance in their AWS setups. They will possess the knowledge and skills required to excel in AWS-related roles and make valuable contributions to their organisation's cloud security and management endeavours.

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What’s included in this AWS Identity and Access Management Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Identity and Access Management Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

Amazon SageMaker Training Course Outline

Module 1: Introduction to Amazon SageMaker

  • What is Amazon SageMaker?
  • Machine Learning with Amazon SageMaker
  • Explore and Preprocess Data
  • Model Training and Deployment

Module 2: Setting Up Amazon SageMaker

  • Create an IAM Administrator User and Group

Module 3: Get Started with Amazon SageMaker

  • Create an Amazon S3 Bucket
  • Create an Amazon SageMaker Notebook Instance
  • Create a Jupyter Notebook
  • Download, Explore, and Transform Data
  • Train, Deploy, and Validate Model
  • Clean Up

Module 4: Using Notebook Instances

  • Create and Access Notebook Instances
  • Use Example Notebooks
  • Notebook Instance Software Updates
  • Setting the Notebook Kernel
  • Installing External Libraries and Kernels in Notebook Instances
  • Creating Git Repositories with Amazon SageMaker Notebook Instances
  • Monitoring Jupyter Logs in Amazon CloudWatch Logs

Module 5: Build, Train, and Deploy a Model

  • Built-in Algorithms
  • Incremental Training
  • Managed Spot Training
  • Using Checkpoints
  • Automatic Model Tuning
  • Augmented Manifest Files
  • Amazon SageMaker Neo

Module 6: Amazon SageMaker with ECR

  • Basics of Docker Containers
  • Amazon SageMaker Containers
  • Use Prebuilt SageMaker Docker Images
  • Creating Training Job with ECR

Module 7: Reinforcement Learning with Amazon SageMaker RL

  • Markov Decision Process (MDP)
  • Sample RL Workflow Using Amazon SageMaker RL
  • RL Environments in Amazon SageMaker
  • Distributed Training
  • Hyperparameter Tuning

Module 8: Security in Amazon SageMaker

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation

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Who should attend this Amazon SageMaker Training Course?

The Amazon SageMaker Training Course is designed for individuals who want to gain an understanding of machine learning and deploy the same for practical applications. The Amazon SageMaker Training Course can benefit professionals such as:

  • Data Scientists
  • Machine Learning Engineers
  • Data Engineers
  • Data Analysts
  • Cloud Architects
  • Financial Analysts
  • Technical Managers

Prerequisites of the Amazon SageMaker Training Course

There are no formal prerequisites for this Amazon SageMaker Course. However, a basic understanding of machine learning can be beneficial for the delgates.

Amazon SageMaker Training Course Overview

Amazon SageMaker is a fully managed service that provides developers and data scientists with the tools to build, train, and deploy machine learning models at scale. As businesses increasingly turn to AI to drive insights and automate processes, understanding how to leverage SageMaker is essential for organisations looking to enhance their operational efficiency and gain a competitive edge in their respective markets.

This course is particularly beneficial for data scientists, machine learning engineers, AI developers, and business analysts who want to harness the power of machine learning in their projects. Additionally, IT professionals and managers overseeing data-driven initiatives will find the course valuable for understanding the capabilities of SageMaker and its impact on business strategy.

This 2-days course by The Knowledge Academy equips professionals with the skills necessary to effectively utilise Amazon SageMaker for machine learning projects. Delegates will learn how to create, train, and deploy models while exploring best practices for optimising performance and managing machine learning workflows, enabling them to implement data-driven solutions confidently.

Course Objectives

  • To understand the core concepts of machine learning and Amazon SageMaker
  • To create and configure SageMaker environments for development
  • To train machine learning models using built-in algorithms
  • To deploy and manage machine learning models in production
  • To implement best practices for data preparation and feature engineering
  • To evaluate model performance and optimise results

Upon completion of the course, delegates will have the skills to effectively apply Amazon SageMaker in real-world scenarios, enabling them to develop robust machine learning models and drive significant business value through data-driven decision-making and innovation.

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What’s included in this Amazon SageMaker Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon SageMaker Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Solutions Architect Training​ Course Outline

Module 1: Design Secure Architectures

  • Design Secure Workloads and Applications
  • Determine Appropriate Data Security Controls

Module 2: Design Resilient Architectures

  • Design Scalable and Loosely Coupled Architectures
  • Design Highly Available and Fault-Tolerant Architectures-

Module 3: Design High-Performing Architectures

  • Determine High-Performing and Scalable Storage Solutions
  • Determine High-Performing Database Solutions
  • Determine High-Performing and Scalable Network Architectures
  • Determine High-Performing Data Ingestion and Transformation Solutions

Module 4: Design Cost-Optimised Architectures

  • Design Cost-Optimised Storage Solutions
  • Design Cost-Optimised Compute Solutions
  • Design Cost-Optimised Network Architectures

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Who Should Attend this AWS Associate Solutions Architect Training Course?

The AWS Associate Solutions Architect Course is suitable for professionals who want to get better at creating Architecture Solutions for the AWS Platform. This course can be beneficial to various professionals, including:

  • Solution Architects
  • Cloud Architects
  • DevOps Engineers
  • Technical Project Managers
  • Business Analysts
  • Network Engineers
  • Database Administrators

Prerequisites of the AWS Associate Solutions Architect Training Course

There are no formal prerequisites for this AWS Associate Solutions Architect Training Course. However, a basic understanding of Solution Architecture can be beneficial to the delegates.

AWS Associate Solutions Architect Training Course Overview

AWS Associate Solutions Architect Training equips delegates with the skills to design, deploy, and manage scalable cloud solutions using Amazon Web Services. The training focuses on core AWS services, architecture best practices, security, reliability, and cost-optimised cloud design.

Upskilling in AWS architecture enhances cloud expertise and career opportunities in modern IT environments. Delegates strengthen problem-solving skills, improve system design capability, and gain confidence in building resilient, high-availability cloud solutions.

This 2-Day course offered by The Knowledge Academy prepares delegates for practical cloud architecture responsibilities and the AWS Certified Solutions Architect Associate level, using hands-on learning and real scenarios to support confident application in cloud roles.

AWS Associate Solutions Architect Training Course Objectives

  • To understand the foundational principles and best practices of cloud computing within the AWS ecosystem
  • To develop proficiency in designing scalable, reliable, and cost-efficient architectures using AWS services and features
  • To comprehend the integration and utilisation of AWS services to meet specific business and application requirements effectively
  • To learn how to make informed decisions regarding AWS service selection based on application, data, and security requirements
  • To gain expertise in optimising AWS deployments to maximise performance and minimise costs while maintaining high availability and scalability

After completing this AWS Associate Solutions Architect Training, delegates will be able to plan, design, and scale AWS cloud computing services. They will strengthen their ability to build secure, reliable, and cost optimised cloud solutions.

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What’s Included in this AWS Associate Solutions Architect Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Associate Solutions Architect Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS EC2 with Linux Training Course Outline

Module 1: Get Started with Amazon EC2

  • What is Amazon EC2?
  • Features of Amazon EC2
  • Instances and AMIs
  • Regions and Availability Zones
  • Root Device Volume
  • Setting Up with Amazon EC2

Module 2: Amazon Machine Images (AMI)

  • What is Amazon Machine Images (AMI)?
  • Types of AMI and Virtualisation
  • Finding a Linux AMI
  • Shared and Paid AMIs
  • Creating an Amazon EBS-Backed Linux AMI
  • Using Encryption with EBS-Backed AMIs
  • Copy an AMI
  • Deregistering Linux AMI
  • Amazon Linux
  • Running Amazon Linux 2 as a Virtual Machine On-Premises
  • User Provides Kernels

Module 3: Learn Instances

  • Instance Types
  • Instance Purchasing Options
  • Instance Lifecycle
  • Configure Instances
  • Identify Instances

Module 4: Amazon Elastic Inference

  • What is Amazon Elastic Inference?

Module 5: Monitoring

  • Monitoring in Amazon EC2
  • Automated Monitoring Tools
  • Manual Monitoring Tools
  • Monitoring the Status of Your Instances
  • Monitoring Your Instances Using CloudWatch
  • Automating Amazon EC2 with ClouldWatch Events
  • Monitoring Memory and Disk Metrics
  • Logging API Calls with AWS CloudTrails

Module 6: Network and Security

  • Key Pairs
  • Security Groups
  • Controlling Access
  • Instance IP Addressing
  • Elastic IP Address
  • Network Interfaces
  • Learn Enhanced Networking on Linux
  • Elastic Fabric Adapter
  • Placement Groups
  • Network MTU
  • Virtual Private Clouds
  • Introduction to EC2 Classic

Module 7: Storage

  • Amazon EBS
  • Instance Store
  • File Storage
  • Amazon S3
  • Instance Volume Limits
  • Device Naming
  • Block Device Naming

Module 8: EC2 Rescue for Linux

  • Introduction
  • Installing EC2 Rescue for Linux
  • Verify the Signature of EC2 Rescue for Linux
  • Working with EC2 Rescue for Linux
  • Developing EC2 Rescue Modules

Module 9: Troubleshooting

  • Troubleshoot Launch Instance
  • Troubleshooting Connecting to Your Instance
  • Troubleshooting Stopping Your Instance
  • Troubleshooting Terminating Your Instance
  • Failed Status Check
  • Troubleshoot an Unreachable Instance

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Who should attend this AWS EC2 with Linux Training?

The AWS EC2 with Linux Training Course is designed for professionals aiming to gain expertise in deploying and managing Linux instances on Amazon Web Services. This AWS Certification Course can be beneficial to various professionals, including:

  • System Administrators
  • DevOps Engineers
  • Solutions Architects
  • Cloud Engineers
  • Technical Leads
  • Operations Managers
  • IT Managers
  • Cloud Specialists

Prerequisites of the AWS EC2 with Linux Training Course

There are no formal prerequisites to attend the AWS EC2 with Linux Training Course. However, a basic understanding of Linux commands and operating system concepts can be beneficial to delegates.

AWS EC2 with Linux Training Course Overview

This training course provided by The Knowledge Academy delves into the world of Amazon Web Services (AWS), Elastic Compute Cloud (EC2) and Linux, providing essential knowledge and skills for cloud computing enthusiasts. With the growing reliance on cloud infrastructure, understanding AWS EC2 and Linux is crucial for modern IT professionals.

Proficiency in AWS EC2 and Linux is vital for IT professionals leveraging cloud computing for scalable and cost-effective solutions. System Administrators, DevOps Engineers, and Cloud Architects should aim to master this subject as it forms the backbone of cloud-based infrastructure and application deployment.

This 1-day training session provides delegates with the essential skills to effectively launch, manage, and secure virtual machines on AWS EC2 using Linux as their operating system. Delegates will gain hands-on experience in creating EC2 instances, configuring security, and optimising performance. The course empowers them to deploy applications in a cloud-native environment efficiently.

Course Objectives

  • To understand the fundamentals of AWS EC2 and Linux integration
  • To create and manage EC2 instances for various use cases
  • To implement security measures to safeguard EC2 instances and data
  • To optimise EC2 performance for cost-effectiveness
  • To explore automation techniques using Linux
  • To troubleshoot common EC2 and Linux issues
  • To ensure high availability and scalability in EC2 deployments
  • To foster best practices for cloud-native application deployment

After completing this course, you will have the skills and knowledge to use AWS EC2 with Linux effectively. This course will make you a valuable asset in cloud computing and IT infrastructure management, equipping you to confidently address real-world challenges and contribute to innovative cloud-based solutions.

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What’s included in this AWS EC2 with Linux Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS EC2 with Linux Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Workmail Training​ Course Outline

Module 1: Introduction to Amazon WorkMail

  • What is Amazon WorkMail?
  • Amazon WorkMail
    • System Requirements
    • Concepts
  • AWS Services
  • Amazon WorkMail Resources

Module 2: Security in Amazon WorkMail

  • Data Protection in Amazon WorkMail
  • Identity and Access Management for Amazon WorkMail
  • Using Service-Linked Roles for Amazon WorkMail
  • Logging and Monitoring in Amazon WorkMail
  • Compliance Validation for Amazon WorkMail
  • Resilience in Amazon WorkMail
  • Infrastructure Security in Amazon WorkMail

Module 3: Work with Organisations

  • Create an Organisation
  • Delete an Organisation
  • Work with Organisation Settings
  • Enforce DMARC Policies on Incoming Email

Module 4: Work with Domains

  • Add a Domain
  • Remove a Domain
  • Choose the Default Domain
  • Verify Domains
  • Enable AutoDiscover to Configure Endpoints
  • Edit Domain Identity Policies
  • Authenticate Email with SPF
  • Configure a Custom MAIL from Domain

Module 5: Working with Users

  • Managing User Accounts
  • Viewing Email Headers
  • Working with Notifications
  • Enabling Signed or Encrypted Email

Module 6: Export Mailbox Content

  • IAM Policy and Role Creation
  • Export Mailbox Content
  • Considerations
  • Troubleshooting Mail Routing Issues

Module 7: Working with Resources

  • Create a Resource
  • Edit Resource Details
  • Disable a Resource
  • Enable a Resource
  • Delete Resource

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Who Should Attend the Amazon Workmail Training Course?

The Amazon WorkMail Training Course is designed for professionals seeking to enhance their skills in setting up, managing, and securing email and calendaring services using Amazon WorkMail. This course will benefit the following professionals:

  • IT Administrators
  • System Administrators
  • Email Administrators
  • Cloud Engineers
  • Solutions Architects
  • DevOps Engineers
  • Operations Managers
  • IT Managers

Prerequisites of the Amazon Workmail Training Course

There are no formal prerequisites to attend the Amazon Workmail Training Course. However, a basic understanding of cloud computing and emails can be beneficial.

Amazon Workmail Training​ Course Overview

Amazon web services is a cloud-based services provider. On this cloud platform, Developers and IT professionals have more opportunities to develop and deploy the best products by future technologies. From a business perspective, Amazon is also providing services for business development and increase productivity within organisations. The Amazon Workmail is Secure and managed business email and other calendar services that support desktop and mobile email client applications.

With the help of Amazon Workmail, user can access emails, contacts and calendars using the client applications, any client application supporting the IMAP protocol, or directly through a web browser. In addition, delegates will be able to integrate Amazon Workmail with the existing corporate directory.

This 1-day course is the journey about the Amazon Workmail. Delegates will learn about Amazon Workmail system requirements and its concepts. From this course, delegates will get an understanding of user and administration tasks and acquire a complete knowledge about Amazon Workmail. This course will cover the basics terms and advance terms of Amazon Workmail. At the administrator level, delegates will learn about security, how to work with an organisation, domains, and how to manage the users and groups. On course completion, delegates will be able to manage the administrative support and users within troubleshooting tasks on Amazon Workmail.

Course Objectives

  • To understand the key features and benefits of Amazon WorkMail
  • To explore system requirements and AWS services integrated with WorkMail
  • To learn how to manage security and data protection in Amazon WorkMail
  • To understand Identity and Access Management (IAM) for Amazon WorkMail
  • To configure and manage email domains within Amazon WorkMail
  • To create, manage, and delete organisations in Amazon WorkMail

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What’s included in this Amazon Workmail Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Workmail Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Building Data Lakes on AWS Training Course Outline

Module 1: Introduction to Data Lakes

  • Describe the Value of Data Lakes
  • Compare Data Lakes and Data Warehouses
  • Describe the Components of a Data Lake
  • Recognise Common Architectures Built on Data Lakes

Module 2: Data ingestion, Cataloguing, and Preparation

  • Describe the Relationship Between Data Lake Storage and Data Ingestion
  • Describe AWS Glue Crawlers and How They Are Used to Create a Data Catalogue
  • Identify Data Formatting, Partitioning, and Compression for Efficient Storage and Query
  • Lab 1: Set Up a Simple Data Lake

Module 3: Data Processing and Analytics

  • Recognise How Data Processing Applies to a Data Lake
  • Use AWS Glue to Process Data Within a Data Lake
  • Describe How to Use Amazon Athena to Analyse Data in a Data Lake

Module 4: Building a data lake with AWS Lake Formation

  • Describe the Features and Benefits of AWS Lake Formation
  • Use AWS Lake Formation to Create a Data Lake
  • Understand the AWS Lake Formation Security Model
  • Lab 2: Build a Data Lake Using AWS Lake Formation

Module 5: Additional Lake Formation Configurations

  • Automate AWS Lake Formation Using Blueprints and Workflows
  • Apply Security and Access Controls to AWS Lake Formation
  • Visualise Data with Amazon QuickSight
  • Lab 3: Automate Data Lake Creation Using AWS Lake Formation Blueprints
  • Lab 4: Data Visualisation Using Amazon QuickSight

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Who should attend this Building Data Lakes on AWS Training Course?

The Building Data Lakes on AWS Course is designed for a wide range of professionals who are involved in designing, building, and managing data lakes on the AWS cloud platform. The following professionals can greatly benefit from attending this course:

  • Data Engineers
  • Database Administrators
  • Data Analysts
  • Data Scientists
  • Solution Architects
  • DevOps Engineers
  • Business Intelligence Professionals

Prerequisites of the Building Data Lakes on AWS Builders Training Course

Before attending this Building Data Lakes on AWS Course, delegates should have completed AWS Technical Essentials Training.

Building Data Lakes on AWS Training Course Overview

Data Lakes on AWS provide a scalable and cost-effective solution for storing vast amounts of structured and unstructured data. They enable organisations to consolidate data from various sources, facilitating advanced analytics and real-time insights. In today's data-driven landscape, building efficient data lakes is essential for businesses seeking to harness the power of big data and drive innovation through informed decision-making.

This course is particularly beneficial for data engineers, data analysts, business intelligence professionals, and IT architects. It is also ideal for anyone involved in managing data infrastructure, including database administrators and cloud solutions architects, who want to enhance their knowledge of data lake architectures and AWS services.

This 1-day course by The Knowledge Academy equips professionals with the necessary skills to design and implement data lakes on the AWS platform. Delegate will learn to leverage AWS tools and services to store, manage, and analyse data effectively, empowering them to transform their organisations’ data strategies and improve operational efficiency.

Course Objectives

  • To understand the fundamentals of data lakes and their architecture
  • To explore AWS services for building and managing data lakes
  • To implement data ingestion and storage solutions
  • To apply data governance and security best practices
  • To perform analytics on data stored in data lakes
  • To troubleshoot common issues related to data lakes

Upon completion of the course, delegates will possess the skills to design and implement robust data lake solutions on AWS, enabling their organisations to derive actionable insights from data and stay competitive in an increasingly data-centric world.

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What’s included in this Building Data Lakes on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Building Data Lakes on AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Sumerian Training​ Course Outline

Module 1: What is Amazon Sumerian?

  • IAM Managed Policies for Sumerian
  • Granting a Scene Access to AWS Services
  • Restricting Access to a Published Scene
  • Scenes, Components, and Entities
  • Assets, Hosts, Projects, and Templates

Module 2: Amazon Sumerian Dashboard

  • Projects
  • Scenes
  • Asset Packs
  • Templates
  • Trash
  • Locks

Module 3: Amazon Sumerian Editor

  • Amazon Sumerian Editor Canvas
  • Importing Assets from the Asset Library in the Amazon Sumerian Editor
  • Using the Assets Panel, Entities Panel, and Inspector
  • Using the Tools in the Amazon Sumerian Editor
  • Keyboard and Mouse Controls for the Amazon Sumerian Editor
  • Publishing Scenes in the Amazon Sumerian Editor

Module 4: Amazon Sumerian Scene Settings

  • Configuring AWS Credentials for Amazon Sumerian Scene
  • Creating Snapshots of Amazon Sumerian Scene
  • Configuring the Canvas for Amazon Sumerian Scene
  • Configuring Environment Settings for Amazon Sumerian Scene
  • Configuring Post-Processing Effects for Amazon Sumerian Scene
  • Calculating the Size of Amazon Sumerian Scene
  • Viewing Performance Information for Amazon Sumerian Scene

Module 5: Amazon Sumerian Entities and Components

  • Managing Entities and Components
  • Transform, Geometry, Material, and Camera Component
  • HMD Camera Component
  • VR Controller Component
  • Host, Speech, and Dialogue Component
  • 2D Graphics Component
  • HTML, Sound, Animation, and Light Components
  • Particle System Component
  • Amazon Sumerian Physics
  • State Machine, Script, and Timeline Component

Module 6: Amazon Sumerian Assets

  • Amazon Sumerian Asset Packs and Scene Templates
  • Amazon Sumerian Virtual Reality Tools and Augmented Reality Tools
  • Amazon Sumerian Hosts
  • Models, Skybox, and Media

Module 7: Amazon Sumerian State Machine

  • Animation State Machine Actions
  • Audio and Camera State Machine Actions
  • AWS Feature State Machine Actions
  • Keyboard and Mouse State Machine Actions
  • Effects and Lighting State Machine Actions
  • Materials and Rendering State Machine Actions
  • Physics and Collision State Machine Actions
  • Logic and Transition State Machine Actions
  • Attribute and Tag State Machine Actions

Module 8: Scripting and Troubleshooting

  • Built-in Scripts
  • Context Object
  • Parameters and Arguments
  • External Dependencies
  • Debugging
  • Troubleshooting Issues with Amazon Sumerian Scenes

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Who Should Attend the Amazon Sumerian Training Course?

The Amazon Sumerian Training Course is designed to provide a comprehensive understanding to professionals interested in exploring the world of augmented reality, virtual reality, and 3D content creation. This course will benefit the following professionals:

  • AR/VR Developers
  • Game Developers
  • Web Developers
  • Designers
  • Content Creators
  • Innovators and Entrepreneurs
  • Creative Professionals

Prerequisites of the Amazon Sumerian Training Course

There are no formal prerequisites to attend the Amazon Sumerian Training Course. However, a basic understanding of cloud computing and 3D graphics can be beneficial.

Amazon Sumerian Training Course Overview

In this developing world, technology varieties are increasing rapidly day by day Technologies are chasing the future, and from these technologies, virtual reality technology is the realisation of reality. Amazon cloud computing platform is upgrading within the future technology and Amazon is always ahead to develop the technology for the world. Amazon Sumerian is a collaboration of tools to build a high-quality Augmented Reality (AR), Virtual Reality (VR), and 3D applications without any programming or 3D graphics expertise. The Sumerian 3D engine provides a library for advanced scripting with JavaScript and delegates do not need to be a programmer to create collaborative AR, VR and 3D applications.

During this course, delegates will learn about the Amazon Sumerian and required components. This course is designed for all levels, whether beginners or advanced. Delegates will get an understanding of tools that are used for creating VR, AR, and 3D applications.

This 1-day course will teach delegates about the Sumerian libraries like primitive shapes, 3D models, hosts, textures, and scripts. On course completion, delegates will be able to build the AR, VR, and 3D applications.

Course Objectives

  • To understand IAM managed policies for Amazon Sumerian
  • To explore the Sumerian dashboard, including projects and scenes
  • To learn how to use the Amazon Sumerian Editor
  • To configure environment and scene settings in Sumerian
  • To manage entities and components in Amazon Sumerian
  • To utilise Amazon Sumerian assets and asset packs effectively

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What’s included in this Amazon Sumerian Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Sumerian Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Data Analytics Fundamentals​ Training Course Outline

Module 1: Introduction to Data Analysis Solutions

  • Data Analytics and Data Analysis Concepts
  • Introduction to the Challenges of Data Analytics

Module 2: Volume – Data Storage

  • Amazon S3
  • Data Lakes
  • Data Consistency Methods

Module 3: Velocity – Data Processing

  • Data Processing Methods
  • Batch Data Processing
  • Stream Data Processing

Module 4: Variety – Data Structure and Types

  • Cloud Storage
  • Central storage: Amazon S3 as the Data Lake Storage Platform 

Module 5: Veracity – Cleansing and Transformation

  • Understanding Data Protection
  • Data Protection with S3 
  • Amazon S3 Strong Consistency 

Module 6: Value – Reporting and Business Intelligence

  • AWS Identity and Access Management 
  • Encryption
  • Regulatory Compliance (AWS Artefact) 

Module 7: Key Takeaways

  • Putting the Pieces Together

Module 8: Data Security

  • AWS Compliance
  • How to Secure AWS
  • AWS Cloud Security
  • Security Platform
  • Security, Identity, and Compliance Products
  • Cloud Deployment Models

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Who should attend this AWS Data Analytics Fundamentals Training Course?

The AWS Data Analytics Fundamentals Training Course is designed for individuals interested in gaining a foundational understanding of data analytics using Amazon Web Services. The following professionals can greatly benefit from attending this course:

  • Data Analysts
  • Data Engineers
  • Database Administrators
  • Data Scientists
  • IT Professionals
  • System Administrators
  • Solution Architects

Prerequisites of the AWS Data Analytics Fundamentals Training Course

There are no formal prerequisites for this AWS Data Analytics Fundamentals Course. However, familiarity with database concepts and AWS Database Services can be beneficial for the delegates.

AWS Data Analytics Fundamentals​ Training Course Overview

Data analytics is the process of analysing raw data to find trends and make conclusions from that information. It is a broad term that refers to various data analysis techniques to get a clear picture of the current status and plan future activities according to that. Studying Data Analytics Fundamentals Training course helps learners to plan the data analysis solutions effectively. It helps organisations use tools and techniques to make the best decisions to analyse data for better success. It assists individuals to use AWS services for collecting, processing, analysing, and presenting the data. Pursuing this training will help individuals to gain the required knowledge, skills, and experience to enhance their career prospects.

This 1-day Data Analytics Fundamentals Training covers all the essential topics by which delegates will become fully familiar with the data analytics. During this training, they will learn about the different types of structures and types of data analysis. They will also learn about stream data processing, data storage methods, different data stores, understanding database consistency, visualising data, and many more. Our highly professional trainer with years of experience in teaching such courses will conduct this training and help delegates to gain a comprehensive understanding of data analytics.

Course Objectives

  • To understand core concepts and challenges of data analytics
  • To explore AWS storage solutions including Amazon S3 and data lakes
  • To evaluate batch and stream processing methods for big data
  • To apply ETL processes for cleansing and transformation tasks
  • To assess data integrity and ensure consistency across databases
  • To visualise data insights through reporting and BI solutions

After attending this training, delegates will be able to apply AWS analytics fundamentals to manage the complete data lifecycle, from storage and processing to analysis and reporting. They will be capable of selecting appropriate storage methods, applying batch and stream processing, and handling diverse data structures. Delegates will also be able to ensure data quality through cleansing and transformation while generating insights using business intelligence tools.

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What’s included in this AWS Data Analytics Fundamentals Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Data Analytics Fundamentals Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon S3 Glacier Training Course Outline

The following modules comprise topics that will help you to get a complete understanding of Amazon S3 Glacier.

Module 1: Introduction to Amazon S3 Glacier

  • What is Amazon S3 Glacier?
  • Supported Operations
  • Accessing Amazon S3 Glacier

Module 2: Getting Started with Amazon S3 Glacier

  • Create a Vault
  • Add Tags to Vault
  • Vault Policies
  • Delete a Vault

Module 3: Advanced S3 Glacier Features

  • Understanding Glacier Storage Classes
  • Lifecycle Management
  • Archival Strategies
  • Cost Optimisation Techniques

Module 4: Amazon S3 Glacier Configuration and Management

  • Understanding S3 Glacier Vault Lock
  • Types of Event Notifications
  • Understanding Cross-Region Data Replication in Glacier

Module 5: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security

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Who Should Attend the Amazon S3 Glacier Training Course?

The Amazon S3 Glacier Training Course is designed for individuals who want to understand and utilise Amazon's archival storage solution for data archiving and long-term backup. This course will help the following professionals:

  • Data Architects
  • Storage Administrators
  • IT Managers
  • Cloud Engineers
  • Backup and Recovery Specialists
  • Compliance Officers
  • Data Managers

Prerequisites of the Amazon S3 Glacier Training Course

There are no formal prerequisites to attend the Amazon S3 Glacier Training Course. However, a basic understanding of cloud computing and object storage can be beneficial.

Amazon S3 Glacier Training Course Overview

Amazon S3 Glacier is a vault as a container that stores archives and a compartment to manage records and document which can be an object such as photo, video, or records that store in a vault. An archive is the base unit of storage in the glacier. AWS Glacier is a storage service providing durable storage with security features for data archiving and backup. In this Amazon Storage service, delegates will create a vault to store the documents. For archive management, Amazon S3 Glacier uses the section of AWS Software Development Kits (SDKs) for Java and .NET high-level API. Whilst working with Glacier, the high-level API provides a simplified programming experience.

This 1-day course will start teaching from Amazon S3 Glacier like storage overview and its working. Delegates will learn about data models supported operations in a glacier, working with vaults and archives as well as how to upload and download records. The AWS SDKs is also included in this course to get a complete understanding of the low level and high-level APIs.

During this course, delegates will also learn about security in Amazon S3 Glacier how it works and strategies, tagging resources, security policies. Delegates will gather knowledge of audit logging with AWS CloudTrail and will get a complete understanding of AWS storage service. Post completion of this training, delegates will be able to manage the archives in the container of AWS S3 Glacier and do all operations of this AWS services programmatically.

Course Objectives

  • To understand Amazon S3 Glacier architecture and storage capabilities
  • To create and configure vaults with tags and policies
  • To apply lifecycle management and effective archival strategies
  • To implement cost optimisation techniques for long-term data storage
  • To configure vault lock and event notifications in Glacier
  • To apply cross-region replication for data durability and resilience

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What’s included in this Amazon S3 Glacier Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon S3 Glacier Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Developing Serverless Solutions on AWS Training Course Outline

Module 1: Thinking Serverless

  • Event-Driven Architecture 
  • Best Practices for Building Modern Serverless Applications

Module 2: API-Driven Development and Synchronous Event Sources

  • What is API Management 
  • Invoking Lambda Functions 
  • How Amazon API Gateway Fits into Serverless Applications?
  • Set up an HTTP API Endpoint Integrated with a Lambda Function 

Module 3: Introduction to Authentication, Authorisation, and Access Control

  • Authentication Vs Authorisation
  • Amazon Cognito in Serverless Applications
  • Amazon Cognito User Pools

Module 4: Serverless Deployment Frameworks

  • Overview of Imperative Vs Declarative Programming for Infrastructure as Code
  • Compare AWS CDK vs. CloudFormation, and the state of IaC on AWS 
  • AWS SAM and its Benefits 

Module 5: Using Amazon EventBridge and Amazon SNS to Decouple Components

  • Features of Amazon EventBridge 
  • Comparison of Use Cases for Amazon Simple Notification Service (Amazon SNS) Vs EventBridge
  • Create an Event Bus 
  • Configure an Amazon SNS Topic with Filtering 

Module 6: Event-Driven Development Using Queues and Streams

  • DynamoDB Streams and AWS Lambda triggers 
  • Simple Queue Service 
  • Using AWS Lambda with Amazon Kinesis 
  • Configuring a Dead-Letter Queue 

Module 7: Writing Good Lambda Functions

  • Introduction to AWS Lambda 
  • Best Practices for Your Lambda Functions
  • Lambda Functions 
  • Lamba Function Versions 
  • Testing and Debugging Lambda Function 
  • Lambda Error Handling 
  • Developing for Retries and Failures 

Module 8: Step Functions for Orchestration

  • AWS Step Functions in Serverless Architectures
  • Exercise: Step Functions States
  • Callback Pattern
  • Standard Vs Express Workflows
  • Using AWS Step Functions with Other Services 
  • General Troubleshooting 

Module 9: Observability and Monitoring

  • Analysing Log Data with CloudWatch Logs Insights 
  • What is AWS X-Ray? 
  • Three Pillars of Observability
  • Create a log group in CloudWatch Logs 
  • Enable Lambda X-Ray 
  • Amazon CloudWatch alarms 
  • Monitoring and Observability

Module 10: Serverless Application Security

  • Serverless Security Best Practices 
  • Security in Amazon API Gateway 
  • Data Protection in the AWS Serverless Application Repository 

Module 11: Handling Scale in Serverless Applications

  • Scaling Considerations for Serverless Applications
  • Using API Gateway to Manage Scale
  • Lambda Concurrency Scaling
  • Lambda Event Source Mappings

Module 12: Automating the Deployment Pipeline

  • CI/CD for Serverless Applications
  • Deployment Methods

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Who should attend this Developing Serverless Solutions on AWS Training Course?

The Developing Serverless Solutions on AWS Course is designed for developers and architects interested in leveraging serverless computing to build efficient and scalable applications on Amazon Web Services.

The following professionals can greatly benefit from attending this course:

  • Software Developers
  • Application Architects
  • Solution Architects
  • Technical Leads
  • DevOps Engineers
  • System Administrators
  • IT Professionals

Prerequisites of the Developing Serverless Solutions on AWS Training Course

Before attending this Developing Serverless Solutions on AWS Course, delegates should be familiar with AWS Cloud architecture and should have completed the AWS Lambda Training and AWS API Gateway Training.

Developing Serverless Solutions on AWS Training Course Overview

In today’s cloud-first world, serverless computing is revolutionising how developers build and deploy applications. AWS provides a robust platform for serverless architectures, enabling businesses to scale without managing servers. This course dives deep into AWS Lambda, API Gateway, and other serverless services, empowering professionals to design and implement efficient serverless solutions. By embracing serverless computing, organisations can drive innovation, reduce infrastructure costs, and enhance application performance.

Mastering serverless solutions on AWS is essential for cloud architects, developers, and DevOps engineers who are looking to optimise application performance and reduce operational complexity. As businesses continue to move to the cloud, serverless computing offers significant advantages in scalability and cost-efficiency. Professionals who can architect and implement serverless solutions are in high demand, making proficiency in AWS serverless services a valuable skill for anyone in cloud development or system architecture.

This comprehensive 2-days Developing Serverless Solutions on AWS is designed to equip delegates with the necessary skills to create serverless applications on AWS. The course covers key AWS services such as Lambda, API Gateway, and DynamoDB, guiding delegates through best practices for designing, building, and managing serverless applications. By the end of the course, delegates will be able to confidently implement serverless solutions, streamlining development processes, optimising costs, and accelerating time-to-market for cloud applications.

Course Objectives

  • To create infrastructure and applications with the use of autocompletion
  • To specify the resources with the use of CloudFormation in SAM template
  • To search and analyse log data in Amazon CloudWatch Logs
  • To create applications that respond to data changes in DynamoDB tables
  • To build Lambda applications that respond rapidly to new information
  • To know how to minimise the attack surface by giving security checks

After attending the Developing Serverless Solutions on AWS Training course, delegates will be able to set up an HTTP API endpoint integrated with a Lambda function. They will also be able to troubleshoot a standard step functions workflow.

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What’s included in this Developing Serverless Solutions on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Developing Serverless Solutions on AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

AWS Professional Solutions Architect Training​ Course Outline

Module 1: Design for Organisational Complexity

  • Overview
  • Managing Multiple AWS Accounts in an Organisation
  • Security and Access Controls for a Multi-Account Structure
  • Using S3 Requester Pays and Bucket Policies
  • Multi-Account Infrastructure Management
  • Multi-Account Network Configuration
  • Configuring DNS Resolution for the Servers

Module 2: Design for New Solutions

  • Using Amazon AppStream 2.0/Amazon Workspaces for Remote Desktop Operations
  • Using Amazon Connect, Amazon Lex, and Amazon Polly for Chat and Call Functionality
  • Using Amazon WorkDocs for Secure Document Management and Collaboration
  • Implementing DDoS Resiliency in AWS
  • Configuring DNSSEC for a Domain in Route 53
  • Configuration Management in AWS with AWS OpsWorks Stacks
  • Processing Large Product Catalogues Using Amazon Mechanical Turk and Amazon SWF
  • Using Lambda@Edge for Low Latency Access to the Applications
  • Setting Up and ELK (ElasticSearch, Logstash, and Kibana) Stack Using Amazon ES
  • Data Analytics and Visualisation Using Amazon Athena and Amazon ES
  • Using AWS Transfer Family for FTP Use Cases
  • Single Interface for Querying Multiple Data Sources with AWS AppSync

Module 3: Migration Planning

  • Overview
  • Planning Out a Migration
  • Migration Strategies
  • Analysing the Workloads Using AWS Application Discovery Service
  • Performing Data Migration
  • Performing Server Migration
  • Performing Database Migration

Module 4: Cost Control

  • Overview
  • AWS Pricing Models
  • Reserved Instances and Savings Plan
  • Using Different AWS Cost Management Services

Module 5: Continuous Improvement for Existing Solutions

  • Using Amazon Cognito for Web App Authentication
  • Using AWS Systems Manager for Patch Management
  • Implementing CI/CD Using AWS CodeDeploy, CodeCommit, CodeBuild, and CodePipeline
  • Using Federation to Manage Access
  • Setting Up a Fault-Tolerant Cache Layer with Amazon Elasticache
  • Improving the Cache Hit Ratio of the CloudFront Distribution
  • Other Ways of Combining Route 53 Records for High Availability and Fault Tolerance
  • Longest Prefix Match: Understanding Advanced Concepts in VPC Peering
  • Automate the EBS Snapshots Using Amazon Data Lifecycle Manager (Amazon DLM)
  • Real-Time Log Processing Using CloudWatch Logs Subscription Filters
  • Scaling Memory-Intensive Application in AWS

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Who should attend this AWS Professional Solutions Architect Training Course?

This AWS Professional Solutions Architect Training Course is intended for professionals who want to upgrade their knowledge in cloud computing and architectural design. This course can be beneficial to a wide range of professionals, including:

  • Experienced Solutions Architects
  • Cloud Professionals
  • Machine Learning Engineers
  • Experienced DevOps Engineers
  • Application Architects
  • Enterprise Architects
  • System Designers

Prerequisites of the AWS Professional Solutions Architect Training Course

There are no formal prerequisites for the AWS Professional Solutions Architect Training Course. However, delegates who have experience with AWS CLI, the AWS Billing Console, and Windows and Linux environments can benefit from attending this course.

AWS Professional Solutions Architect Training Course Overview

Amazon Web Services (AWS) is a leading Cloud service provider that offers on-demand computing, storage, networking, security, and database services accessible worldwide via the internet without users needing to manage these resources. The AWS Professional Solutions Architect Certification validates delegates' ability to create, deploy, and assess applications on AWS in diverse scenarios.

This certification enables individuals to design hybrid architectures using AWS technologies and implement continuous integration and deployment processes. Acquiring these skills opens doors to lucrative job opportunities, including Cloud Architects, Developers, System Administrators, DevOps Engineers, and other high-paying roles.

In this intensive 3-day AWS Professional Solutions Architect Training offered by The Knowledge Academy, delegates will learn how to assess the requirements of Cloud applications and receive guidance on architecting AWS applications for implementation, deployment, and provisioning. This course covers advanced skills for deploying and building applications on AWS, including in-depth topics like databases, application servers, and best practices in system design. Our highly experienced trainers will impart essential AWS knowledge to delegates.

Course Objectives

  • To acquire in-depth knowledge about advanced cloud architecture principles and best practices on AWS
  • To master the design and implementation of large-scale AWS architectures for multiple enterprise applications
  • To enhance skills in optimising AWS solutions for performance, cost, and security
  • To develop proficiency in creating migration strategies
  • To gain knowledge of integrating AWS with on-premises data centres and multi-Cloud environments

After completing this AWS Professional Solutions Architect Training Course, delegates can effectively secure and oversee access controls for a multi-account system. They will also be proficient in managing multiple AWS accounts within an organisation, enabling them to allocate resources and permissions to teams using AWS CloudFormation StackSets.

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What’s included in this AWS Professional Solutions Architect Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Professional Solutions Architect Training Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon DocumentDB with MongoDB Course Outline

This course teaches how to create an Amazon DocumentDB Cluster and how to manage, monitor Amazon DocumentDB.

Module 1: Introduction

  • What is Amazon DocumentDB?
  • How It Works?
  • MongoDB Compatibility
  • Functional Differences with MongoDB
  • Supported MongoDB APIs, Operations, and Data Types

Module 2: Security

  • Data Protection
  • Identity and Access Management
  • Manage Amazon DocumentDB Users
  • Role-Based Access Control
  • Logging and Monitoring
  • Update Certificates — GovCloud
  • Compliance Validation
  • Resilience, Infrastructure Security, and Auditing Events

Module 3: Back Up and Restore

  • Overview
  • Understand Backup Storage Usage
  • Dumping, Restoring, Importing, and Exporting Data
  • Cluster Snapshot Considerations
  • Compare Automatic and Manual Snapshots
  • Create a Manual Cluster Snapshot
  • Copy and Share Cluster Snapshot
  • Restore and Delete from a Cluster Snapshot
  • Restore to a Point in Time

Module 4: Manage Amazon DocumentDB

  • Operational Tasks Overview
  • Global Clusters, Manage Clusters, Instances, and Subnet Groups
  • High Availability and Replication
  • Manage Events
  • Choose Regions and Availability Zone
  • Manage Cluster Parameter Groups
  • Understand Endpoints and Amazon DocumentDB ARNs
  • Tagging Resources and Maintaining Amazon DocumentDB
  • Understand Service-Linked Roles

Module 5: Monitoring Amazon DocumentDB

  • Monitoring a Cluster's and Instance's Status
  • Event Subscriptions
  • Monitoring Amazon DocumentDB with CloudWatch
  • Logging Amazon DocumentDB API Calls with CloudTrail
  • Profiling Operations
  • Monitoring with Performance Insights

Module 6: Developing with Amazon DocumentDB

  • Connect Programmatically
  • Use Change Streams
  • Connect as a Replica Set
  • Connect from Outside an Amazon VPC
  • Connect Using Robo 3T, Studio 3T, and Amazon EC2
  • Connect Using JDBC Driver
  • Quotas and Limits

Module 7: Troubleshooting

  • Connection Issues
  • Index Creation
  • Performance and Resource Utilisation

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Who Should Attend the Amazon DocumentDB with MongoDB Course?

The Amazon DocumentDB with MongoDB Course is designed for professionals seeking to enhance their skills of Amazon's managed database service that's compatible with MongoDB. This course will help the following professionals:

  • Database Administrators
  • Application Developers
  • Software Engineers
  • Cloud Architects
  • DevOps Engineers
  • Data Engineers
  • Solution Architects
  • IT Managers

Prerequisites of the Amazon DocumentDB with MongoDB Course

There are no formal prerequisites to attend the Amazon DocumentDB with MongoDB Course. However, a basic understanding of NoSQL databases would be beneficial.

Amazon DocumentDB with MongoDB Course Overview

Amazon DocumentDB is a fast, reliable and fully-managed database service. Amazon DocumentDB makes it easy to set up, scale and operate MongoDB- compatible databases in the cloud. With Amazon DocumentDB, delegates can run the same application code and use the same drivers and tools that they use with MongoDB.

Amazon DocumentDB automatically grows the size of storage volume as database storage needs to grow. In this course, delegates will learn the functional difference between the DocumentDB and MongoDB.

They will also learn how to how to Launch EC2 Instance. Delegates will learn how to manage Amazon DocumentDB users and how to encrypt connections using TLS. They will learn about VPC security and updating certificates. This course explains how to monitor, manage, and troubleshoot Amazon DocumentDB. Delegates will gain an understanding of how to developing with Amazon DocumentDB.

Course Objectives

  • To understand Amazon DocumentDB and MongoDB compatibility
  • To manage security and data protection in Amazon DocumentDB
  • To learn backup and restore procedures for Amazon DocumentDB
  • To manage clusters, instances, and operational tasks
  • To monitor Amazon DocumentDB with CloudWatch and CloudTrail
  • To develop applications using various connection methods

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What’s included in this Amazon DocumentDB with MongoDB Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon DocumentDB with MongoDB Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

AWS Associate SysOps Administrator Training​ Outline

Domain 1: Monitoring, Logging, and Remediation

  • Implement Metrics, Alarms, and Filters by Using AWS Monitoring and Logging Services
    • Identify, Collect, Analyse, and Export Logs
    • Collect Metrics and Logs Using the CloudWatch Agent
    • Create CloudWatch Alarms
    • Create Metric Filters
    • Create CloudWatch Dashboards
    • Configure Notifications
  • Remediate Issues Based on Monitoring and Availability Metrics
    • Troubleshoot or Take Corrective Actions Based on Notifications and Alarms
    • Configure Amazon Event Bridge Rules to Trigger Actions
    • Use AWS Systems Manager Automation Documents

Domain 2: Reliability and Business Continuity

  • Implement Scalability and Elasticity
    • Create and Maintain AWS Auto Scaling Plans
    • Implement Caching
    • Implement Amazon RDS Replicas and Amazon Aurora Replicas
    • Implement Loosely Coupled Architectures
    • Differentiate Between Horizontal Scaling and Vertical Scaling
  • Implement High Availability and Resilient Environments
    • Configure Elastic Load Balancer and Amazon Route 53 Health Checks
    • Differentiate Between the Use of a Single Availability Zone and Multi-AZ Deployments
    • Implement Fault-Tolerant Workloads
    • Implement Route 53 Routing Policies
  • Implement Backup and Restore Strategies
    • Automate Snapshots and Backups Based on Use Cases
    • Restore Databases
    • Implement Versioning and Lifecycle Rules
    • Configure Amazon S3 Cross-Region Replication
    • Execute Disaster Recovery Procedures

Domain 3: Deployment, Provisioning, and Automation

  • Provision and Maintain Cloud Resources
    • Create and Manage AMIs
    • Create, Manage, and Troubleshoot AWS CloudFormation
    • Provision Resources Across Multiple AWS Regions and Accounts
    • Select Deployment Scenarios and Services
    • Identify and Remediate Deployment Issues
  • Automate Manual or Repeatable Processes
    • Use AWS Services
    • Implement Automated Patch Management
    • Schedule Automated Tasks by Using AWS Services

Domain 4: Security and Compliance

  • Implement and Manage Security and Compliance Policies
    • Implement IAM Features
    • Troubleshoot and Audit Access Issues by Using AWS Services
    • Validate Service Control Policies and Permissions Boundaries
    • Review AWS Trusted Advisor Security Checks
    • Validate AWS Region and Service Selections Based on Compliance Requirements
  • Implement Data and Infrastructure Protection Strategies
    •  Enforce a Data Classification Scheme
    •  Create, Manage, and Protect Encryption Keys
    •  Implement Encryption at Rest and in Transit
    •  Securely Store Secrets by Using AWS Services
    •  Review Reports or Findings

Domain 5: Networking and Content Delivery

  • Implement Networking Features and Connectivity
    • Configure a VPC
    • VPC CIDR Block
    • Subnets
    • Elastic Network Interfaces
    • Features of Elastic Network Interfaces
    • Internet Gateway
    • Route Tables
    • VPC Security Groups
    • Network Access Control Lists (NACLs)
    • Difference Between SG and NACL
    • Network Address Translation
    • VPC Hands-On
    • Configure AWS Network Protection Services
  • Configure Domains, DNS Services, and Content Delivery
    • Configure Route 53 Hosted Zones and Records
    • Implement Route 53 Routing Policies
    • Configure DNS 
    • Configure Amazon CloudFront and S3 Origin Access Identity (OAI)
    • Configure S3 Static Website Hosting
  • Troubleshoot Network Connectivity Issues
    • Interpret VPC Configurations
    • Collect and Interpret Logs

Domain 6: Cost and Performance Optimisation

  • Implement Cost Optimisation Strategies
    • Implement Cost Allocation Tags
    • Identify and Remediate Underutilised or Unused Resources by Using AWS Services and Tools
    • Configure AWS Budgets and Billing Alarms
    • Identify Opportunities to Use Managed Services
  • Implement Performance Optimisation Strategies
    • Recommend Compute Resources Based on Performance Metrics
    • Monitor Amazon EBS Metrics and Modify Configuration to Increase Performance Efficiency
    • Implement S3 Performance Features
    • Monitor RDS Metrics and Modify the Configuration to Increase Performance Efficiency
    • Enable Enhanced EC2 Capabilities

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Who should attend this AWS Associate SysOps Administrator Training?

This AWS Associate SysOps Administrator Course is designed for individuals who are seeking to enhance their skills and knowledge in managing and operating systems on the Amazon Web Services (AWS) platform. This course is particularly beneficial for professionals such as:

  • Systems Administrators
  • Technical Support Personnel
  • Network Administrators
  • Cloud Professionals
  • Solution Architects
  • Enterprise Architects
  • System Designers

Prerequisites of the AWS Associate SysOps Administrator Training

There are no formal prerequisites for the AWS Associate SysOps Administrator Course.

AWS Associate SysOps Administrator Training Course Overview

The AWS Associate SysOps Administrator Course provides essential knowledge for managing AWS systems and operations efficiently. Businesses today are increasingly migrating their infrastructure to the cloud, with AWS being a prominent player in this domain. Understanding the intricacies of AWS services and operations is essential for businesses striving to remain competitive and agile in their operations.

Professionals across various domains, including system administration, cloud operations, and IT management, stand to benefit significantly from mastering AWS SysOps administration. With the relentless expansion of cloud computing adoption, organisations are continually seeking individuals who possess the expertise to navigate and optimise AWS environments effectively.

This 3-day AWS Associate SysOps Administrator Training by The Knowledge Academy offers hands-on experience and practical insights into AWS SysOps administration. Delegates will learn to navigate AWS environments, manage system resources effectively, and troubleshoot common issues efficiently.

Course Objectives

  • To learn about how to configure Amazon event bridge rules to trigger actions
  • To gain knowledge about how to use AWS systems manager automation documents
  • To become familiar with create and maintain AWS auto scaling plans
  • To attain knowledge about implement versioning and lifecycle rules
  • To acquire skills about how to enforce data classifications scheme
  • To work with troubleshoot network connectivity issues

At the end of this AWS Associate SysOps Administrator Course, delegates will be able to validate service control policies and permissions boundaries. They will also be able to implement data and infrastructure protection strategies that will continuously protect and monitor the workloads and accounts.

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What’s included in this AWS Associate SysOps Administrator Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Associate SysOps Administrator Training Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Deep Learning on AWS Course Outline

Module 1: Introduction to Deep Learning on AWS

  • Deep Learning on AWS

Module 2: Deep Learning Process for Build, Train, and Deploy

  • Collect Data
  • Choose and Optimise Your Algorithm
  • Set Up and Manage the Environment for Training
  • Train, Retrain, and Tune the Models
  • Deploy Models in Production
  • Scale and Manage the Production Environment

Module 3: Challenges with Deep Learning Projects

  • Software Management
  • Performance Optimisation
  • Collaborative Development
  • Infrastructure Management
  • Scalability

Module 4: Highly Optimised AWS Technology Building Blocks for Deep Learning

  • Storage
  • Compute
  • Software
  • Networking and Solutions

Module 5: Code, Data, and Model Versioning

  • Version Code with Git
  • Version Data in Amazon S3
  • Version Model in Amazon S3

Module 6: Automation of Deep Learning Process for Retrain and Redeploy

  • AWS Step Functions for Amazon SageMaker
  • Apache Airflow for Amazon SageMaker
  • Kubeflow Pipelines on Kubernetes

Module 7: Patterns for Deep Learning at Scale

  • Options for Deep Learning on AWS
  • Use Amazon SageMaker
  • Use Kubernetes with Kubeflow on AWS
  • Use Amazon EC2

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Who should attend this Deep Learning on AWS Course?

This Deep Learning on AWS Training is designed for professionals who want to gain expertise in Deep Learning techniques and apply them using Amazon Web Services tools and resources. This AWS Certification Training Course can be beneficial to a wide range of professionals, including:

  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers
  • Deep Learning Engineers
  • Software Developers
  • Data Analysts
  • Computer Vision Engineers

Prerequisites of the Deep Learning on AWS Course

There are no formal prerequisites to attend the Deep Learning on AWS Training.

Deep Learning on AWS Course Overview

This Deep Learning on AWS Training is meticulously crafted to equip individuals with the expertise and capabilities required to thrive in the swiftly advancing realm of Deep Learning. Mastering Deep Learning models on Amazon Web Services (AWS) isn't just pertinent; it's pivotal for maintaining competitiveness and fueling innovative breakthroughs. Mastery of Deep Learning on AWS is imperative for Data Scientists, Machine Learning Engineers, and AI Practitioners.

This proficiency empowers them to harness AWS's robust cloud infrastructure effectively in creating, training, and deploying deep learning models at scale. Specifically designed for professionals seeking to excel in Deep Learning techniques and unlock the complete potential of AWS services for Machine Learning, this course is an ideal resource.

The Knowledge Academy’s intensive 1-day training, focused on AWS Certifications, empowers delegates with the practical knowledge and hands-on experience needed to navigate the intricate realm of Deep Learning on AWS confidently. Delegates will acquire a profound comprehension of AWS services, including SageMaker, EC2, and S3, and master the effective implementation of Deep Learning algorithms.

Course Objectives

  • To master the fundamentals of Deep Learning
  • To understand the AWS ecosystem for Machine Learning
  • To learn to preprocess and prepare data for Deep Learning models
  • To build and train Deep Learning models using AWS SageMaker
  • To deploy Deep Learning models to AWS for real-world applications
  • To gain insights into model optimisation and best practices
  • To explore AWS's cost-effective solutions for Deep Learning projects
  • To apply Deep Learning skills to solve real-world business challenges

After completing this AWS Course, delegates will be well-prepared to take on intricate AI projects confidently. Armed with the expertise to create, deploy, and oversee Deep Learning models on AWS, they will become indispensable assets to their organisations.

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What’s included in this Deep Learning on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Deep Learning on AWS Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Specialty Advanced Networking Training​ Course Outline

Module 1: Introduction to Advanced Networking

  • AWS Global Structure
  • Amazon Virtual Private Cloud
  • AWS Networking Services

Module 2: Amazon Virtual Private Cloud (Amazon VPC) and Networking Fundamentals

  • Introduction to Amazon Virtual Private Cloud (Amazon VPC)
  • Subnets
  • Route Tables
  • IP Addressing
  • Security Groups
  • Network Access Control Lists
  • Internet Gateways

Module 3:  Advanced Amazon Virtual Private Cloud (Amazon VPC)

  • VPC Endpoint Overview
  • Gateway VPC Endpoints
  • Transitive Routing
  • IP Addressing Features

Module 4: Virtual Private Networks

  • Introduction to Virtual Private Networks
  • Site-to-Site VPN
  • Client-to-Site VPN
  • Design Patterns

Module 5: AWS Direct Connect

  • What is AWS Direct Connect?
  • Connectivity
  • Physical
  • Logical
  • Resilient

Module 6: Domain Name System and Load Balancing

  • Introduction to Domain Name System and Load Balancing
  • Record Types: Domain Name System
  • Amazon EC2 DNS Service
  • Amazon Route 53
  • Types, Concepts, Configuration: Elastic Load Balancing

Module 7: Amazon CloudFront

  • Introduction to Amazon CloudFront
  • Content Delivery Network Overview
  • AWS CDN: Amazon CloudFront

Module 8: Network Security

  • Governance
  • Data Flow Security
  • Regions
  • AWS Security Services
  • Detection and Response

Module 9: Network Performance

  • Network Performance Basics
  • Optimising Performance
  • Example Applications
  • Performance Testing

Module 10: Automation

  • Introduction to Automation
  • Infrastructure as Code
  • Network Monitoring Tools

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Who should attend this AWS Specialty Advanced Networking Training Course?

This AWS Specialty Advanced Networking Training Course is designed for individuals who possess a strong foundational understanding of Amazon Web Services (AWS) and Networking concepts. This course is particularly beneficial for professionals such as:

  • Systems Administrators
  • IT Managers
  • DevOps Engineers
  • Cloud Architects
  • Solution Architects
  • Cloud Engineers
  • Security Engineers

Prerequisites of the AWS Specialty Advanced Networking Training Course

There are no formal prerequisites for the AWS Specialty Advanced Networking Training Course. However, basic knowledge of Amazon Web Services would be beneficial for the delegates.

AWS Specialty Advanced Networking Training Course Overview

Mastering advanced networking on AWS is crucial for designing scalable, secure, and high-performing cloud infrastructure. This course equips delegates with in-depth knowledge of complex networking concepts, enabling them to optimise AWS services effectively. It is ideal for building a robust foundation in networking solutions for enterprise-level applications.

This AWS Specialty Advanced Networking Training is aimed at IT professionals, network architects, and cloud engineers looking to refine their expertise in AWS networking. It enhances professional growth by equipping delegates with advanced skills that are highly sought after in cloud infrastructure roles, fostering career progression.

This course provided by The Knowledge Academy ensures a comprehensive understanding of AWS networking concepts, with practical case studies and expert guidance. It prepares delegates for real-world challenges, making it an excellent investment for anyone aspiring to excel in AWS networking and earn advanced certifications.

Course Objectives

  • Understand advanced AWS networking concepts and solutions
  • Configure hybrid connectivity using AWS services
  • Design and implement scalable and secure architectures
  • Manage high-performance applications and workloads
  • Monitor and troubleshoot network performance issues
  • Explore AWS networking compliance and security best practices
  • Prepare for AWS Certified Advanced Networking exam

By the end of this course, delegates will possess advanced networking skills to design, deploy, and maintain secure, scalable, and high-performing cloud networks on AWS, enabling them to excel in complex networking roles and boost their career prospects.

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What’s included in this AWS Specialty Advanced Networking Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Specialty Advanced Networking Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

AWS Associate Machine Learning Engineer Training Course Outline

Domain 1: Data Preparation for Machine Learning

  • Ingest and Store Data
    • Data Formats and Ingestion Mechanisms
    • How to Use the Core AWS Data Sources
    • How to Use AWS Streaming Data Sources to Ingest Data
    • AWS Storage Options, Including Use Cases and Tradeoffs
  • Transform Data and Perform Feature Engineering
    • Data Cleaning and Transformation Techniques
    • Feature Engineering Techniques
    • Encoding Techniques
    • Tools to Explore, Visualise, or Transform Data and Features
    • Services That Transform Streaming Data
    • Data Annotation and Labelling Services
  • Ensure Data Integrity and Prepare Data for Modelling
    • Pre-Training Bias Metrics for Numeric, Text, and Image Data
    • Strategies to Address CI in Numeric, Text, and Image Datasets
    • Techniques to Encrypt Data
    • Data Classification, Anonymisation, and Masking
    • Implications of Compliance Requirements

Domain 2: ML Model Development

  • Choose a Modelling Approach
    • Capabilities and Appropriate Uses of ML Algorithms to Solve Business Problems
    • How to Use AWS AI Services to Solve Specific Business Problems
    • How to Consider Interpretability During Model Selection or Algorithm Selection
    • SageMaker Built-In Algorithms and When to Apply Them
  • Train and Refine Models
    • Elements in the Training Process
    • Methods to Reduce Model Training Time
    • Factors That Influence Model Size
    • Methods to Improve Model Performance
    • Benefits of Regularisation Techniques
    • Hyperparameter Tuning Techniques
    • Model Hyperparameters and Their Effects on Model Performance
    • Methods to Integrate Models Built Outside SageMaker into SageMaker
  • Analyse Model Performance
    • Model Evaluation Techniques and Metrics
    • Methods to Create Performance Baselines
    • Methods to Identify Model Overfitting and Underfitting
    • Metrics Available in SageMaker Clarify to Gain Insights into ML Training Data and Models
    • Convergence Issues

Domain 3: Deployment and Orchestration of ML Workflows

  • Select Deployment Infrastructure Based on Existing Architecture and Requirements
    • Deployment Best Practices
    • AWS Deployment Services
    • Methods to Serve ML Models in Real Time and in Batches
    • How to Provision Compute Resources in Production and Test Environments
    • Model and Endpoint Requirements for Deployment Endpoints
    • How to Choose Appropriate Containers
    • Methods to Optimise Models on Edge Devices
  • Create and Script Infrastructure Based on Existing Architecture and Requirements
    • Difference Between On-Demand and Provisioned Resources
    • How to Compare Scaling Policies
    • Tradeoffs and Use Cases of IaC Options
    • Containerisation Concepts and AWS Container Services
    • How to Use SageMaker Endpoint Auto Scaling Policies to Meet Scalability Requirements
  • Use Automated Orchestration Tools to Set Up CI/CD Pipelines
    • Capabilities and Quotas for AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy
    • Automation and Integration of Data Ingestion with Orchestration Services
    • Version Control Systems and Basic Usage
    • CI/CD Principles and How They Fit into ML Workflows
    • Deployment Strategies and Rollback Actions
    • How Code Repositories and Pipelines Work Together

Domain 4: ML Solution Monitoring, Maintenance, and Security

  • Monitor Model Inference
    • Drift in ML Models
    • Techniques to Monitor Data Quality and Model Performance
    • Design Principles for ML Lenses Relevant to Monitoring
  • Monitor and Optimise Infrastructure and Costs
    • Key Performance Metrics for ML Infrastructure
    • Monitoring and Observability Tools to Troubleshoot Latency and Performance Issues
    • How to Use AWS CloudTrail to Log, Monitor, and Invoke Re-Training Activities
    • Differences Between Instance Types and How They Affect Performance
    • Capabilities of Cost Analysis Tools
    • Cost Tracking and Allocation Techniques
  • Secure AWS Resources
    • IAM Roles, Policies, and Groups That Control Access to AWS Services
    • SageMaker Security and Compliance Features
    • Controls for Network Access to ML Resources
    • Security Best Practices for CI/CD Pipelines

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Who should attend this AWS Associate Machine Learning Engineer Training Course?

The AWS Associate Machine Learning Engineer Training Course is perfectly suited for individuals eager to deepen their expertise in machine learning and cloud computing within the AWS ecosystem. It is particularly beneficial for:

  • Data Scientists
  • Machine Learning Engineers
  • Cloud Architects
  • Software Engineers
  • IT Managers and Directors
  • System Administrators
  • Big Data Analysts
  • AI Research Scientists

Prerequisites of AWS Associate Machine Learning Engineer Training Course

There are no formal prerequisites to attend this AWS Associate Machine Learning Engineer Training Course.

AWS Associate Machine Learning Engineer Training Course Overview

AWS, or Amazon Web Services, is a comprehensive and widely adopted cloud platform that offers over 200 fully featured services from data centres globally. Its importance lies in its vast array of tools and capabilities that allow businesses to scale and grow by providing powerful computing power, database storage, and other functionality.

For organisations, this training enhances their team's ability to effectively use AWS for innovative and efficient cloud solutions, reducing operational costs and improving system scalability. For individuals, the training offers the skills to confidently utilise AWS technologies, making them invaluable assets to their teams and enhancing job performance. Lastly, for delegates, this certification opens up numerous career opportunities, as AWS skills are highly sought after in the tech industry, potentially leading to higher job security and advancement prospects.

In this 3 Day AWS Associate Machine Learning Engineer Training provided by The Knowledge Academy, delegates will gain comprehensive insights into the end-to-end processes of machine learning on the AWS platform. From data preparation, model building, and training to deployment and securing machine learning solutions, the course covers essential skills for effectively harnessing the power of AWS for machine learning projects. Delegates will explore various AWS services and tools that facilitate data handling, feature engineering, model evaluation, and the deployment of machine learning models in production environments.

Course Objectives

  • To understand AWS data ingestion and storage solutions
  • To apply feature engineering on diverse datasets
  • To develop and train machine learning models
  • To evaluate models using AWS SageMaker
  • To deploy models for batch and real-time processing
  • To manage and monitor machine learning solutions
  • To implement security best practices in AWS

After attending this training, delegates will be able to apply their knowledge to set up complete machine learning workflows on AWS. They will have the skills to choose the appropriate AWS tools for different stages of machine learning projects, from data collection and processing to training and deploying models.

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What’s included in this AWS Associate Machine Learning Engineer Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Associate Machine Learning Engineer Training Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Lumberyard Training Course Outline

Module 1: Introduction to Amazon Lumberyard

  • What is Amazon Lumberyard?
  • Creative Capabilities
  • Features

Module 2: Working of Amazon Lumberyard

  • Overview of the Lumberyard Framework
  • Working with Gems
  • Messaging Between Systems with EBus
  • Component Entity System
  • Lumberyard Asset Pipeline
  • Scripting for the Lumberyard Framework

Module 3: Setting Up Amazon Lumberyard

  • Amazon Lumberyard System Requirements
  • Installing Amazon Lumberyard
  • Configuring Amazon Lumberyard Environment with Setup Assistant
  • Manage Lumberyard Projects with Project Configurator

Module 4: Create with Amazon Lumberyard

  • How Do I Create a Game with Lumberyard?
  • Work as an Artist
  • Work as a Designer
  • Work as a Game Engineer

Module 5: Lumberyard Editor

  • Default Layout
  • Navigating the Lumberyard Perspective Viewport
  • Movement Preferences
  • Save Perspective Locations

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Who Should Attend the Amazon Lumberyard Training Course?

The Amazon Lumberyard Training Course is designed for professionals in the game development and interactive entertainment industry who want to master the use of Amazon Lumberyard to create captivating and immersive experiences. This course will benefit the following professionals:

  • Game Developers
  • Game Designers
  • Game Artists
  • 3D Modelers
  • Gameplay Programmers
  • Game Engineers
  • Level Designers

Prerequisites of the Amazon Lumberyard Training Course

There are no formal prerequisites to attend the Amazon Lumberyard Training Course. However, a basic understanding of game development would be beneficial.

Amazon Lumberyard Training ​Course Overview

In this course, delegates will learn about the Amazon Lumberyard Editor. Delegates will learn how to create a lush mountainous landscape, build a maze within it, place a player character, and install a simple UI. Delegates will acquire knowledge of how to export and play the game. In this course, delegates will gain an understanding of the fundamental workflow and tools within Lumberyard.

In this 1-day course, delegates will get an understanding of the Lumberyard Interface. They will learn about the basic tools and how to manipulate objects, move an object, as well as rotate objects. Amazon Lumberyard Training course explains how to configure auto backup and build the environment for Lumberyard. In a building environment, delegates will learn how to create a level, import heightmap, import a megaterrian texture, and how to place player character. In addition, delegates will learn how to create an entity, add mesh component, collider and physics component. They will also learn how to duplicate entities and parenting entities.

During this course, delegates will learn how to create a doorway slice and align the slices. They will also learn how to add enemy AI characters. Delegates will gain an understanding of how to apply physics to stacked crates as well as create a texture layer, painting pavement, Grass, Dirt, and Rocks. Post completion of this training, delegates will be able to change the time of day and create a light source.

Course Objectives

  • To understand Amazon Lumberyard framework and its core features
  • To configure system requirements and install Lumberyard environment
  • To manage projects using Setup Assistant and Configurator tools
  • To create interactive 3D games as artists or developers
  • To work with gems, entity systems, and scripting effectively
  • To navigate Lumberyard editor and customise workspace layout0073

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What’s included in this Amazon Lumberyard Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Lumberyard Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

AWS Associate Data Engineer Training Course Outline

Domain 1: Data Ingestion and Transformation

  • Perform Data Ingestion
    • Throughput and Latency Characteristics for AWS Services that Ingest Data
    • Data Ingestion Patterns
    • Streaming Data Ingestion
    • Batch Data Ingestion
    • Replayability of Data Ingestion Pipelines
    • Stateful and Stateless Data Transactions
  • Transform and Process Data
    • Creation of ETL Pipelines Based on Business Requirements
    • Volume, Velocity, and Variety of Data
    • Cloud Computing and Distributed Computing
    • How to Use Apache Spark to Process Data
    • Intermediate Data Staging Locations
  • Orchestrate Data Pipelines
    • How to Integrate Various AWS Services to Create ETL Pipelines
    • Event-driven Architecture
    • How to Configure AWS Services for Data Pipelines Based on Schedules or Dependencies
    • Serverless Workflows
  • Apply Programming Concepts
    • Continuous Integration and Continuous Delivery
    • SQL Queries
    • Infrastructure as Code
    • Distributed Computing
    • Data Structures and Algorithms
    • SQL Query Optimisation

Domain 2: Data Store Management

  • Choose a Data Store
    • Storage Platforms and Their Characteristics
    • Storage Services and Configurations for Specific Performance Demands
    • Data Storage Formats
    • How to Align Data Storage with Data Migration Requirements
    • How to Determine the Appropriate Storage Solution for Specific Access Patterns
    • How to Manage Locks to Prevent Access to Data
  • Understand Data Cataloguing Systems
    • How to Create a Data Catalog
    • Data Classification Based on Requirements
    • Components of Metadata and Data Catalogs
  • Manage the Lifecycle of Data
    • Appropriate Storage Solutions to Address Hot and Cold Data Requirements
    • How to Optimise the Cost of Storage Based on the Data Lifecycle
    • How to Delete Data to Meet Business and Legal Requirements
    • Data Retention Policies and Archiving Strategies
    • How to Protect Data with Appropriate Resiliency and Availability
  • Design Data Models and Schema Evolution
    • Data Modelling Concepts
    • How to Ensure Accuracy and Trustworthiness of Data by Using Data Lineage
    • Best Practices for Indexing, Partitioning Strategies, Compression, and Other Data Optimisation Techniques
    • How to Model Structured, Semi-structured, and Unstructured Data
    • Schema Evolution Techniques

Domain 3: Data Operations and Support

  • Automate Data Processing by Using AWS Services
    • How to Maintain and Troubleshoot Data Processing for Repeatable Business Outcomes
    • API Calls for Data Processing
    • Which Services Accept Scripting
  • Analyse Data by Using AWS Services
    • Tradeoffs Between Provisioned Services and Serverless Services
    • SQL Queries
    • How to Visualise Data for Analysis
    • When and How to Apply Cleansing Techniques
    • Data Aggregation, Rolling Average, Grouping, and Pivoting
  • Maintain and Monitor Data Pipelines
    • How to Log Application Data
    • Best Practices for Performance Tuning
    • How to Log Access to AWS Services
    • Amazon Macie, AWS CloudTrail, and Amazon CloudWatch
  • Ensure Data Quality
    • Data Sampling Techniques
    • How to Implement Data Skew Mechanisms
    • Data Validation
    • Data Profiling

Domain 4: Data Security and Governance

  • Apply Authentication Mechanisms
    • VPC Security Networking Concepts
    • Differences Between Managed Services and Unmanaged Services
    • Authentication Methods
    • Differences Between AWS Managed Policies and Customer Managed Policies
  • Apply Authorisation Mechanisms
    • Authorisation Methods
    • Principle of Least Privilege as It Applies to AWS Security
    • Role-based Access Control and Expected Access Patterns
    • Methods to Protect Data from Unauthorised Access Across Services
  • Ensure Data Encryption and Masking
    • Data Encryption Options Available in AWS Analytics Services
    • Differences Between Client-side Encryption and Server-side Encryption
    • Protection of Sensitive Data
    • Data Anonymisation, Masking, and Key Salting
  • Prepare Logs for Audit
    • How to Log Application Data
    • How to Log Access to AWS Services
    • Centralised AWS Logs
  • Understand Data Privacy and Governance.
    • How to Protect Personally Identifiable Information
    • Data Sovereignty

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Who should attend this AWS Associate Data Engineer Training Course?

This AWS Associate Data Engineer Training Course is ideal for individuals eager to enhance their expertise in cloud-based data engineering using AWS technologies. It is particularly beneficial for:

  • Data Engineers
  • Database Administrators
  • Big Data Analysts
  • IT Professionals working with large datasets
  • Software Developers interested in data processing
  • Data Architects
  • Cloud Solution Architects

Prerequisites of AWS Associate Data Engineer Training Course

There are no formal prerequisites to attend this AWS Associate Data Engineer Training Course.

AWS Associate Data Engineer Training Course Overview

Amazon Web Services (AWS) is a comprehensive cloud computing platform that offers a broad set of infrastructure services, such as computing power, storage options, and networking capabilities. Its importance lies in its flexibility, scalability, and cost-efficiency, which make it essential for businesses of all sizes that aim to optimise their IT operations and reduce overheads. For organisations, this AWS Certified Data Engineer – Associate Training provides a strategic advantage by enhancing their team’s ability to efficiently manage and analyse large data sets within the AWS ecosystem. For individuals, the training offers deep insights and practical skills in handling data engineering tasks, improving their proficiency and effectiveness in their current roles.

In the AWS Associate Data Engineer Training course, delegates will gain a robust understanding of data engineering principles on the AWS platform, focusing on data ingestion, transformation, storage, and security. The course is designed to equip participants with the skills to build, maintain, and optimise data systems and architectures in AWS, using the latest tools and technologies for effective data processing and analysis.

Course Objectives

  • To perform data ingestion and establish data pipelines
  • To design and implement ETL solutions on AWS
  • To manage data storage and lifecycle efficiently
  • To ensure data security and compliance within AWS
  • To apply automation in data operations using AWS services
  • To utilise AWS tools for data analysis and visualisation

After attending this training, delegates will be able to design and implement comprehensive data engineering solutions within the AWS cloud environment. They will have the skills to handle data at every stage of its lifecycle—from ingestion through to analysis and archiving—using AWS services and best practices. Additionally, they will be proficient in setting up secure, scalable, and cost-effective data infrastructures.

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What’s included in this AWS Associate Data Engineer Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Associate Data Engineer Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon ElastiCache for Redis Course Outline

Module 1: What is Amazon ElastiCache for Redis?

  • Introduction to ElastiCache Redis
  • What is Redis?
  • Why Redis?
  • ElastiCache in AWS
  • Components and Features
  • Tools for Managing Implementation
  • Memcached Vs Redis

Module 2: Getting Started with ElastiCache for Redis

  • Setting Up
  • Launch a Cluster
  • Authorising Access
  • Connect to a Cluster Node
  • Deleting a Cluster

Module 3: Managing ElastiCache for Redis Implementation

  • Engine Versions and Upgrading
  • Choosing Regions and Availability Zones
  • Managing Nodes
  • Working with Shards
  • High Availability Using Replication Groups
  • Finding Connection Endpoint
  • Backup and Restore for ElastiCache
  • Scaling ElastiCache for Redis Clusters
  • Configure Engine Parameters Using Parameter Groups

Module 4: Security in Amazon ElastiCache

  • Data Protection
  • Internetwork Traffic Privacy
  • Logging and Monitoring
  • Resilience in Amazon ElastiCache

Module 5: Caching Strategies

  • Caching Strategies
  • Caching Strategies- Lazy Loading, Write Through, and Add TTL
  • Restricted Redis Commands
  • Managing Reserved Memory

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Who Should Attend the Amazon ElastiCache for Redis Course?

The Amazon ElastiCache for Redis Course is designed for professionals who are looking to enhance their understanding and utilisation of Amazon's ElastiCache service, specifically focused on Redis, a powerful in-memory data store. This course will benefit the following professionals:

  • Database Administrators
  • Software Engineers
  • Application Developers
  • Cloud Architects
  • System Administrators
  • DevOps Engineers
  • Solutions Architects
  • Data Engineers

Prerequisites of the Amazon ElastiCache for Redis Course

There are no formal prerequisites to attend the Amazon ElastiCache for Redis Course.

Amazon ElastiCache for Redis Course Overview

This course explains Amazon ElastiCache for Redis. It is a web service to set up, scale, and manage a distributed in-memory data or cache environment in the cloud. Amazon ElastiCache provides a high-performance, cost-effective and scalable caching solution. Amazon ElastiCache also helps to remove the complexity linked with deploying a distributed cache environment.

In this course, delegates will learn about ElastiCache resources, component, and features. They will also gain an understanding of how to manage ElastiCache for Redis implementation. In addition, delegates will learn how to configure an engine parameter using a parameter group.

This course teaches delegates about data protection, internetwork traffic privacy, identity and access management, logging and monitoring, compliance validation and infrastructure security. Post completion of this training, delegates will get familiarised with caching strategies.

Course Objectives

  • To understand the core concepts of Amazon ElastiCache for Redis
  • To explore the fundamentals of Redis and its use cases
  • To learn how to set up and launch an ElastiCache Redis cluster
  • To gain skills in managing ElastiCache clusters and nodes
  • To understand high availability and replication strategies for Redis
  • To implement security best practices for data protection in Redis

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What’s included in this Amazon ElastiCache for Redis Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon ElastiCache for Redis Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Introduction to Amazon AppSync Course Outline

This course is based on the Amazon AppSync Service and GraphQL. These modules are arranged to provide knowledge of the architecture of Amazon AppSync, unit resolver, pipeline resolver and real-time data.

Module 1: Introduction to Amazon AppSync

  • What is Amazon AppSync?
  • Features
  • System Overview and Architecture

Module 2: Designing a GraphQL API

  • Designing Schema
  • Attach a Data Source
  • Configuring Resolvers
  • Using API
  • Guided Schema Wizard
  • Provision from Schema
  • Import from Amazon DynamoDB

Module 3: Configuration and Settings

  • Caching
  • Configuring Custom Domain Names
  • Conflict Detection and Sync
  • Monitoring and Logging
  • Tracing with AWS X-Ray
  • Logging AWS AppSync API Calls Using AWS CloudTrail

Module 4: Authorisation and Authentication

  • API_KEY Authorisation
  • AWS_LAMBDA Authorisation
  • AWS_IAM Authorisation
  • OPENID_CONNECT Authorisation
  • AMAZON_COGNITO_USER_POOLS Authorisation
  • Additional Authorisation Modes
  • Fine-Grained Access Control
  • Filtering Information
  • Data Source Access
  • Authorisation Use Cases

Module 5: Security in AWS AppSync

  • Data Protection in AWS AppSync
  • Compliance Validation for AWS AppSync
  • Infrastructure Security in AWS AppSync
  • Resilience in AWS AppSync
  • Identity and Access Management for AWS AppSync
  • Logging AWS AppSync API Calls with AWS CloudTrail
  • Security Best Practices for AWS AppSync

Module 6: Resolver Mapping Template Reference

  • Resolver Mapping Template Overview
  • Utility Reference
  • DynamoDB
  • RDS
  • OpenSearch
  • Lambda
  • None Data Source
  • HTTP
  • Changelog

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Who Should Attend the Introduction to Amazon AppSync Course?

The Introduction to Amazon AppSync Course is designed for professionals seeking to understand and utilise the capabilities of Amazon AppSync for building scalable and interactive APIs for their applications. This course will benefit the following professionals:

  • Software Developers
  • Web Developers
  • Mobile App Developers
  • API Developers
  • Backend Developers
  • Full-stack Developers
  • Application Architects
  • Solution Architects

Prerequisites of the Introduction to Amazon AppSync Course

There are no formal prerequisites to attend the Introduction to Amazon AppSync Course. However, a basic understanding of cloud computing and GraphQL would be beneficial.

Introduction to Amazon AppSync​ Course Overview

Many organisations are migrating on the cloud-based infrastructure. Amazon always provides lead services to an organisation to accelerate business growth. Upgrading organisations are looking for IT professionals to manage their cloud-based infrastructure. The demand for a software developer is also increasing day by day.

The Amazon AppSync is the managed service for application data using GraphQL with real-time capabilities and an offline programming model. It is a fully managed GraphQL service with real-time data synchronisation and offline programming as well. With the help of this service, delegates can build mobile and web application. AWS AppSync also allows us to develop and manage applications as well as synchronise real-time activity.

During this course, delegates will get a complete understanding of Amazon AppSync and its features. Delegates will learn about how to unify multiple data sources with a GraphQL API and query from one endpoint. This course will teach delegates how to bootstrap an application with AWS amplify and mobile services. In addition, delegates will learn to use GraphQL subscription to make realtime applications. On course completion, delegates will be able to build quick applications within a short time.

Course Objectives

  • To understand the core concepts of Amazon AppSync
  • To explore the architecture and features of Amazon AppSync
  • To design and configure a GraphQL API with AppSync
  • To work with resolvers and data sources in AppSync
  • To configure caching, monitoring, and logging for AppSync
  • To implement various authentication and authorisation methods

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What’s included in this Introduction to Amazon AppSync Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon AppSync Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Textract Training Course Outline

This course will provide complete knowledge of Amazon Textract. The following modules are arranged to provide a comprehensive knowledge of detecting and analysing the text documents.

Module 1: Introduction to Amazon Textract

  • What is Amazon Textract?
  • How It Works?

Module 2: Getting Started with Amazon Textract

  • Set Up an Account
  • Set Up the AWS CLI and AWS SDKs
  • Get Started Using the AWS CLI and AWS SDK API

Module 3: Processing Documents

  • Processing Documents with Synchronous Operations
  • Processing Documents with Asynchronous Operations

Module 4: Amazon A2I and Amazon Textract

  • Core Concepts of Amazon A2I
  • Get Started Using Amazon A2I

Module 5: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Logging Amazon Textract API Calls with AWS CloudTrail
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • Configuration and Vulnerability Analysis
  • VPC Endpoints

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Who Should Attend the Amazon Textract Training Course?

The Amazon Textract Training Course is designed for professionals who want to harness the power of Amazon Textract, a machine learning service that automatically extracts text and structured data from scanned documents. This course will benefit the following professionals:

  • Data Analysts
  • Document Processors
  • Business Analysts
  • Data Scientists
  • Automation Specialists
  • Data Engineers
  • Application Developers

Prerequisites of the Amazon Textract Training Course

There are no formal prerequisites to attend the Amazon Textract Training Course. However, a basic understanding of cloud computing and GraphQL would be beneficial.

AmazonTextract Training​ Course Overview

The Amazon Textract is the service to extract text and data automatically from documents. Amazon Textract goes beyond simple Optical Character recognition to identify the contents of fields in forms and information stored in tables. Technically Amazon Textract is based on the same established, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyse billions of images and videos daily. Delegates do not need any machine learning expertise to use it. Amazon Textract includes easy to use APIs that can analyse image files and PDF files, and it is adding new features by learning from the latest data.

This 1-day course teaches delegates about Amazon Textract and text operations like detecting, analysing, and input. Delegates will get use cases knowledge of Amazon Textract. The detecting and analysing the text in a single page document text and multipage documents are also included in this course. Delegates will learn about security components such as authentication, access control, logging and monitoring. Post course completion, delegates will be able to understand the working of Amazon Textract and how Amazon fetch the data.

Course Objectives

  • To understand Amazon Textract functionality and core working principles
  • To set up AWS CLI and SDKs for Textract integration
  • To integrate Textract with Amazon A2I for human review
  • To apply data protection and identity management in Textract
  • To monitor Textract API calls and ensure compliance validation
  • To evaluate resilience and infrastructure security for Textract workflows

After attending this training, delegates will be able to effectively implement Amazon Textract to extract data from scanned files and documents with accuracy and efficiency. They will be capable of configuring Textract environments, using APIs for document processing, and integrating workflows with Amazon A2I for quality assurance. Delegates will also be able to apply best practices for security, monitoring, and compliance to ensure reliable and protected operations.

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What’s included in this Amazon Textract Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Textract Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Cloud9 Training Course Outline

Module 1: Introduction to AWS Cloud9

  • What is AWS Cloud9?
  • How Does AWS Cloud9 Work?
  • What can I Do with AWS Cloud9?

Module 2: Managing Cloud9 Environments

  • Overview of AWS Cloud9 Environments
  • Environment Types and Use Cases
  • Best Practices for Environment Management
  • Security and Data Protection in Cloud9 Environments
  • Resource Management and Cost Optimisation

Module 3: Cloud9 IDE Features and Capabilities

  • Overview of the Cloud9 IDE Architecture
  • Code Editing and Debugging in Cloud9
  • Collaborative Development in Cloud9
  • Customising the IDE for Personal Workflow

Module 4: AWS Toolkit

  • API Gateway
  • AWS App Runner
  • AWS CloudFormation Stacks
  • Amazon S3
  • AWS SAM Applications and Step Functions

Module 5: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Infrastructure Security
  • Configuration and Vulnerability Analysis
  • Security Best Practices

Module 6: Troubleshooting AWS Cloud9

  • Environment Creation Error
  • Console Error
  • Federated Identities Cannot Create Environments
  • Cannot Open an Environment
  • AWS Cloud9 Installer Hangs or Fails
  • SSH Environment Error
  • Application Preview or File Preview Notice
  • Cannot Run Some Commands or Scripts in an EC2 Environment
  • Amazon EC2 Instances are Not Automatically Updated
  • Previewing a File Returns a 499 Error

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Who should attend this AWS Cloud9 Training Course?

The AWS Cloud9 Training Course is designed for professionals aiming to maximise their productivity with AWS Cloud9, a cloud-based integrated development environment. This AWS Certification can be beneficial to various professionals, including:

  • Software Developers
  • DevOps Engineers
  • Application Architects
  • System Administrators
  • Full-Stack Developers
  • Backend Developers
  • Frontend Developers
  • Solution Architects

Prerequisites of the AWS Cloud9 Training Course

There are no formal prerequisites to attend the AWS Cloud9 Course. However, a basic understanding of cloud computing would be beneficial to delegates.

AWS Cloud9 Training Course Overview

The AWS Cloud9 Course, provided by The Knowledge Academy, is a crucial resource for professionals who want to leverage the capabilities of cloud-based integrated development environments. Cloud9 is vital to Amazon Web Services (AWS) by helping developers streamline their coding processes and improve collaboration.

This course offers a comprehensive introduction to Cloud9, emphasising its importance in contemporary software development. Proficiency in AWS Cloud9 is indispensable for IT Professionals, Developers, and DevOps Engineers. Mastering this subject empowers them to expedite software development, improve team collaboration, and optimise resource utilisation.

This 1-day intensive training by The Knowledge Academy provides delegates with practical experience in setting up and using AWS Cloud9 to improve coding and collaboration. Delegates will learn to effectively manage development environments, seamlessly utilise AWS services, and troubleshoot issues. By the end of the course, delegates will gain full knowledge to integrate AWS Cloud9 into their workflow, enhancing productivity and code quality.

Course Objectives

  • To understand the fundamentals of AWS Cloud9
  • To create and manage development environments in AWS Cloud9
  • To integrate AWS services for enhanced development workflows
  • To collaborate effectively within the Cloud9 environment
  • To troubleshoot common issues in AWS Cloud9
  • To optimise coding and development processes
  • To explore best practices for AWS Cloud9 usage
  • To securely manage and store code in AWS Cloud9

After completing this AWS Course, delegates will learn to fully utilise AWS Cloud9 for daily development tasks. They can efficiently create collaborative and secure coding environments in the cloud, enhancing software development processes for greater productivity.

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What’s included in this AWS Cloud9 Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Cloud9 Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS API Gateway Training Course Outline

Module 1: Introduction to AWS API Gateway

  • AWS API Gateway Overview
  • AWS API Gateway Concepts
  • Features of AWS API Gateway
  • Architecture of AWS API Gateway

Module 2: REST API in AWS API Gateway

  • Introduction to REST API
  • Creating a REST API in AWS API Gateway
  • Managing Access to a REST API
  • Deploying and Invoking a REST API
  • Monitoring an API in API Gateway

Module 3: WebSocket API in AWS API Gateway

  • Introduction to WebSocket API
  • Create a WebSocket API in AWS API Gateway
  • WebSocket API Routes
  • Deploying a WebSocket API
  • Monitoring in WebSocket API

Module 4: Publishing APIs

  • Developer Portal
  • Set Up a Custom Domain Name for API
  • Software Development Strategy Release

Module 5: Monitoring API Configuration in AWS API Gateway

  • Monitor Resource Types
    • Types of Resources
    • Configuring AWS Config to Record API Gateway Resources
    • Evaluating API Gateway Resources Using AWS Config Rules

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Who Should Attend the AWS API Gateway Training Course?

The AWS API Gateway Training course is designed for professionals seeking to master the creation, deployment, and management of APIs using Amazon Web Services (AWS) API Gateway. This course will benefit the following professionals:

  • API Developers
  • API Architects
  • Backend Developers
  • Solution Architects
  • Software Engineers
  • Application Developers
  • DevOps Engineers
  • System Administrators
  • Technical Leaders

Prerequisites of the AWS API Gateway Training Course

There are no formal prerequisites to attend the AWS API Gateway Training Course. However, a basic understanding of cloud computing would be beneficial.

AWS API Gateway Training Course Overview

AWS API Gateway is a fully managed service that simplifies the creation, deployment, and management of APIs at any scale. It enables developers to build secure and scalable APIs for their applications, allowing seamless communication between various components. With the increasing demand for cloud-based solutions, understanding API Gateway is essential for enhancing application performance, ensuring security, and enabling efficient resource management.

This course is particularly beneficial for software developers, cloud architects, DevOps engineers, and IT professionals involved in designing and managing APIs. Additionally, business analysts and product managers who seek to understand the technical aspects of API integrations will find this training invaluable. Mastering AWS API Gateway allows these professionals to streamline workflows and improve application functionality.

This 1-day course by The Knowledge Academy provides professionals with the essential skills to effectively use AWS API Gateway. Delegates will learn to create, deploy, and manage APIs with ease, enabling them to implement scalable and secure applications. The training also covers best practices for API design, monitoring, and troubleshooting, ensuring delegates can optimise their API performance in real-world scenarios.

Course Objectives

  • To understand the fundamentals of AWS API Gateway
  • To create and manage RESTful APIs using API Gateway
  • To implement authentication and authorization for APIs
  • To integrate APIs with AWS services and Lambda functions
  • To monitor API performance and usage metrics
  • To troubleshoot common API issues and implement best practices

Upon completion of the course, delegates will have the skills to design and manage robust APIs effectively, allowing them to enhance application performance and integrate seamlessly with various AWS services, ultimately driving business success.

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What’s included in this AWS API Gateway Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS API Gateway Certificate
  • Digital Delegate Pack

 

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Kafka Training on AWS Course Outline

This course is designed for IT Professionals and the Amazon Technologies learners. The following modules are arranged as a technical spectrum to acquire the skill of data-plan and managed plan operation for producing and consuming the data. The learning area of this outline will provide the knowledge of troubleshooting and security in Amazon MSK. So, let's start the journey with:

Module 1: Introduction to Amazon MSK (Kafka)

  • Amazon MSK Overview
  • Amazon MSK Components
  • Features of Amazon MSK

Module 2: Operations and Configuration for Amazon MSK

  • Create and Setup VPC for Amazon MSK
  • Introduction to Cluster Operations in Amazon MSK
  • Connection String
  • Scaling Up Broker Storage
  • Configuration Types in Amazon MSK

Module 3: Security in Amazon MSK

  • Overview of Security Strategies
  • Data Protection
  • Managing the Access to Apache Zookeeper
  • Logging and Monitoring for Amazon MSK
  • Compliance Validation for Amazon MSK

Module 4: Troubleshooting for Amazon MSK Cluster

  • Understand Troubleshooting Strategies

Module 5: Migrating Clusters with Amazon Service

  • Migrating to Amazon MSK
    • MirrorMaker 2.0 (MM2)
    • Apache Flink
    • AWS Lambda

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Who should attend this Kafka Training on AWS?

The Kafka Training on AWS is designed for professionals aiming to acquire in-depth knowledge of Amazon Web Services and Apache Kafka, a popular distributed event streaming platform. This course can be beneficial to various professionals, including:

  • Data Engineers
  • Data Architects
  • Software Developers
  • Solution Architects
  • DevOps Engineers
  • System Administrators
  • Big Data Analysts
  • Data Scientists

Prerequisites of the Kafka Training on AWS

There are no formal prerequisites to attend the Kafka Training on AWS.

Kafka Training on AWS Course Overview

The Kafka Training on AWS delves into the significance of Apache Kafka and its integration within the Amazon Web Services (AWS) ecosystem. The ability to efficiently manage and harness real-time data streams is paramount, making this course profoundly relevant.

Proficiency in Apache Kafka within AWS is indispensable for Data Engineers, Architects, and Devops Professionals pursuing optimisation of data pipelines and stream processing through courses. This expertise equips them to construct scalable, fault-tolerant, and high-throughput data applications within the AWS environment.

This 1-day intensive training by The Knowledge Academy provides delegates practical experience deploying and managing Kafka on AWS. Delegates will develop a strong grasp of Kafka's architecture, seamless integration with AWS services, and essential techniques for ensuring high availability and fault tolerance. Through hands-on exercises and real-world scenarios, delegates will learn to design, implement, and maintain robust Kafka-based data pipelines on AWS, bolstering their career opportunities and contributing to their organisations' data-driven success.

Course Objectives

  • To gain a comprehensive understanding of Apache Kafka's architecture
  • To learn to deploy and configure Kafka clusters on AWS
  • To explore Kafka's integration with AWS services like S3 and Lambda
  • To master Kafka's key features, including topics, partitions, and producers/consumers
  • To implement security measures to protect Kafka data on AWS
  • To ensure high availability and fault tolerance in Kafka deployments
  • To optimise Kafka performance for efficient data streaming
  • To acquire practical skills through hands-on exercises and real-world use cases

After completing this AWS Kafka Training, the delegates will be given an explanation to leverage the capabilities of Kafka for real-time data processing within the AWS infrastructure. They will acquire the knowledge and skills to design and efficiently manage robust data pipelines, positioning themselves as invaluable assets.

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What’s included in this Kafka Training on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Kafka Training on AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Specialty Machine Learning Training Course Outline

Module 1: Get Started with Machine Learning

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning

Module 2: Machine Learning and Deep Learning Theory

  • Machine Learning Concepts
    • Machine Learning Lifecycle
    • Supervised Learning, Unsupervised Learning, and Reinforcement Learning
    • Optimisation
    • Hyperparameters and Validation
  • Machine Learning Algorithms
    • Linear Regression
    • Logistic Regression and Syntax of Logistic Regression
    • Support Vector Machines
    • Decision Tree and Random Forests
    • Latent Dirichlet Allocation
  • Deep Learning Algorithm
  • Model Performance and Optimisation
  • Machine Learning Tools and Frameworks

Module 3: Amazon Web Services

  • Introduction to AWS Services
    • S3
    • Glue
    • Athena
    • Quick Start
    • Kinesis Data Stream and Kinesis Data Firehose
    • Kinesis Video Streams
    • Kinesis Data Analytics
    • EMR with Spark
    • Amazon ML
  • AWS Application Services AI/MI 
    • Amazon Recognition
    • Amazon Polly
    • Amazon Translate
    • Amazon Comprehend
    • Amazon Lex
    • Amazon Service Chaining with AWS Step Functions

Module 4: Amazon SageMaker

  • What is Amazon SageMaker?
  • Three Stages
  • Control SDK and Control Notebooks
  • SageMaker Notebooks
  • Build
    • Data Preprocessing
    • Ground Truth
    • Preprocessing Image Data
    • Algorithms
  • Train
    • SageMaker Algorithms-Architecture
    • Training an Image Classifier
    • Hyperparameter Tunning
  • Deploy
    • Inference Pipelines
    • Real-Time and Batch Inference
    • Deploy an Image Classifier
    • Accessing Inference form Apps
    • Create a Custom APIs for Inference
  • Security
    • Securing SageMaker Notebooks
    • SageMaker and the VPC

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Who should attend this AWS Specialty Machine Learning Training?

The AWS Machine Learning Course is designed for professionals aiming to harness the power of Machine Learning using Amazon Web Services technologies. This AWS Certification Training Course can be beneficial to various professionals, including:

  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Data Engineers
  • Business Analysts
  • AI Researchers
  • Solution Architects

Prerequisites of the AWS Specialty Machine Learning Training

There are no formal prerequisites to attend the AWS Specialty Machine Learning Course.

AWS Specialty Machine Learning Training Course Overview

The AWS Specialty Machine Learning Certification is designed to empower delegates with the necessary knowledge and tools to leverage the capabilities of Amazon Web Services in Machine Learning, including AWS Certifications. This course delves deep into the core aspects of Machine Learning on the AWS platform, offering a comprehensive understanding of its principles and practical applications.

Learning about AWS Specialty Machine Learning is crucial for Data Scientists, Developers, and IT Professionals to remain competitive. Mastery of AWS Machine Learning enables these professionals to create and launch intelligent applications, uncover valuable insights, and foster innovation within their organisations.

This 2-day AWS Specialty Machine Learning Training offered by The Knowledge Academy provides delegates with practical experience using AWS Machine Learning services. You'll learn to process data, train models, and deploy them effectively. Additionally, you'll discover how to seamlessly integrate AWS Machine Learning into your projects, improving productivity and decision-making.

Course Objectives

  • To master AWS SageMaker for Machine Learning model development
  • To understand data preprocessing and feature engineering
  • To implement model training and evaluation methodologies
  • To deploy Machine Learning models on AWS infrastructure
  • To learn to handle real-world data challenges
  • To gain proficiency in AWS Machine Learning services

After successfully finishing this AWS Machine Learning Training Course, delegates will be well-prepared to harness the power of AWS Machine Learning to generate data-driven insights, enhance decision-making processes, and devise innovative solutions. Delegates can expand their AWS skills with The Knowledge Academy’s wide range of AWS Courses.

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What’s included in this AWS Specialty Machine Learning Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Specialty Machine Learning Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Worklink Training​ Course Outline

Amazon Worklink is a cloud service that provides secure access to the internal website and web apps from android and iOS phones. Our Amazon Worklink Training will cover the following topics:

Module 1: Introduction to Amazon WorkLink

  • What is Amazon WorkLink?
  • Use Cases and Benefits
  • Overview of Amazon WorkLink Architecture
  • Traditional Mobile Device Management (MDM) Solutions

Module 2: Getting Started with Amazon WorkLink

  • Setting Up an Amazon WorkLink Account
  • Navigating the Amazon WorkLink Console
  • Creating and Managing User Profiles
  • Configuring Authentication and User Access

Module 3: Implementing Mobile Device Management

  • Introduction to Mobile Device Management
  • Enabling MDM for Mobile Devices
  • Managing Device Policies and Compliance
  • Integrating with Existing MDM Solutions

Module 4: Browser Isolation and Rendering

  • How Amazon WorkLink Ensures Security?
  • Browser Isolation and Rendering Techniques
  • Encrypted Connections and Data Protection
  • Managing Browser Settings for Security

Module 5: User Experience and Accessibility

  • Ensuring a Smooth User Experience
  • Accessing Corporate Intranet Sites
  • Optimising Web Content for Mobile Devices
  • Addressing Accessibility Requirements

Module 6: Integration with Enterprise Applications

  • Connecting Amazon WorkLink to Corporate Resources
  • Integrating with Single Sign-On (SSO)
  • Secure Access to Intranet Sites and Web Apps
  • Troubleshooting Integration Issues

Module 7: Monitoring and Reporting

  • Monitoring User Activity and Usage
  • Generating Reports and Analytics
  • Identifying and Addressing Security Incidents
  • Customising Alerts and Notifications

Module 8: Scaling and Performance Optimisation

  • Scaling Amazon WorkLink for Large Organisations
  • Load Balancing and Performance Optimisation
  • Managing Network and Bandwidth Considerations
  • Ensuring High Availability and Redundancy

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Who Should Attend the Amazon Worklink Training Course?

The AWS Worklink Training is designed for professionals who want to enhance their skills in machine learning using Amazon Web Services. This course will benefit the following professionals:

  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Data Engineers
  • AI Researchers
  • Solution Architects
  • Analytics Managers

Prerequisites of the Amazon Worklink Training Course

There are no formal prerequisites to attend the Amazon Worklink Training Course.

Amazon Worklink Training​ Course Overview

Amazon Worklink is a cloud service providing secure access to internal websites and web apps from Android and iOS phones. It authenticates the user’s access and securely renders authorised internal web content in reliable rendering service in the AWS cloud. In Amazon Worklink, any internal web content cannot be downloaded and stored on mobile devices. It also reduces the risk of information loss.

In this course, delegates will learn how Amazon Worklink works with SAML- based identity providers. It is a fully managed service, which handles deployment, automatic scaling, capacity provisioning, and updates to browsers and resources in the cloud. Delegates can use Amazon Worklink with Google Chrome on Android phones and Safari on iOS to access internal websites. On completion of this course, delegates will learn how to manage their company network, device policies, users, and devices.

Course Objectives

  • To understand the fundamentals and architecture of Amazon WorkLink 
  • To learn how to set up and manage Amazon WorkLink accounts and user profiles 
  • To configure authentication methods and user access securely 
  • To implement and integrate Mobile Device Management (MDM) policies 
  • To explore browser isolation, rendering, and encryption for secure data access 
  • To enhance user experience and optimise corporate intranet access on mobile devices 
  • To integrate WorkLink with enterprise applications and Single Sign-On (SSO) solutions 
  • To monitor, analyse, and report user activity for compliance and performance optimisation 

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What’s included in this Amazon Worklink Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Worklink Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Amazon Quantum Ledger Database (QLDB) Training Course Outline

This Amazon Quantum Ledger Database course will cover the following areas:

Module 1: Introduction to Amazon QLDB

  • Introduction to Amazon QLDB
  • Accessing Amazon QLDB

Module 2: Getting Started with the Console

  • Create a New Ledger
  • Create Tables, Indexes, and Sample Data
  • Query the Tables
  • Modify Documents
  • Clean Up Resources

Module 3: Working with Data and History

  • Creating Tables and Inserting Documents
  • Querying Data
  • Querying Document Metadata
  • Updating and Deleting Document
  • Query Revision History

Module 4: Concurrency Model

  • Optimistic Concurrency Control
  • Using Indexes to Avoid Full Table Scans
  • Insertion OCC Conflicts
  • Making Transactions Idempotent
  • Managing Concurrent Sessions

Module 5: Data Verification in Amazon QLDB

  • Requesting Digest
  • Verifying Data
  • Verification Results
  • Common Errors for Verification

Module 6: Exporting Journals

  • Exporting Journal Data from Amazon QLDB
  • Requesting an Export
  • Export Permission
  • Common Errors for Journal Export

Module 7: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Monitoring with Amazon CloudWatch
  • Compliance Validation
  • Resilience
  • Infrastructure Security Using Interface VPC Endpoint

Module 8: PartiQL Reference

  • Amazon QLDB PartiQL Reference
  • PartiQL Reference Conventions
  • Data Types
  • QLDB Documents

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Who should attend this Amazon Quantum Ledger Database (QLDB) Training Course?

The Amazon Quantum Ledger Database (QLDB) Course is valuable for those who want to get up to speed on Ledger Databases. The Amazon Quantum Ledger Database (QLDB) Course can benefit individuals such as:

  • Database Administrators
  • Solution Architects
  • Business Analysts
  • Compliance Officers
  • Supply Chain Managers
  • Financial Analysts
  • Healthcare Professionals

Prerequisites of the Amazon Quantum Ledger Database (QLDB) Training Course

There are no formal prerequisites for this Amazon Quantum Ledger Database (QLDB) Training Course. However, a basic understanding of databases can be beneficial for the delegates.

Amazon Quantum Ledger Database (QLDB) Training​ Course Overview

Amazon QLDB is a fully managed ledger database. It tracks data change of every application and maintains a complete history of changes done. Ledgers are used to record a history of an organisation’s financial and economic activity. In this course, delegates will learn about Amazon QLDB - a new class of database helps in eliminating the requirement to engage in the complex development effort of building ledger like applications.

In this 2-day course, delegates will get an understanding of how to access Amazon QLDB. The course explains how to create a new ledger, create and query table as well as modify documents with Amazon QLDB Console and Java and Amazon QLDB. Delegates will gain an understanding of concurrency model and data verification in Amazon QLDB. This course also explains how to export your journals.

In this course, delegates will learn about basic operations for ledgers. Post completion of this training, delegates will acquire knowledge of how to protect data, IAM in Amazon QLDB, logging and monitoring in Amazon QLDB and compliance validation.

Course Objectives 

  • To understand the fundamentals and architecture of Amazon Quantum Ledger Database  
  • To learn how to create and manage ledgers, tables, and indexes using the AWS Management Console 
  • To gain proficiency in inserting, querying, and modifying documents within QLDB 
  • To explore transaction management and concurrency control mechanisms 
  • To verify data integrity using cryptographic proofs and digest verification 
  • To perform journal exports and troubleshoot common data export errors 
  • To implement robust security through IAM, encryption, and CloudWatch monitoring 
  • To master PartiQL syntax and apply it effectively in QLDB operations 

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What’s included in this Amazon Quantum Ledger Database (QLDB) Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon QLDB Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon GameLift Training​ Course Outline

This course will provide knowledge of how to work with Amazon GameLift by perfection. From the following modules, delegates will learn how to prepare the games for Amazon GameLift. Modules will provide advance level knowledge about the Amazon GameLift.

Module 1: Introduction to Amazon GameLift

  • What is Amazon GameLift?
  • How GameLift Works?
  • How Realtime Servers Work and Players Connect to Games?
  • Game Architecture with Managed GameLift and Realtime Servers
  • Realtime Servers and Custom Servers

Module 2: Preparing Games for Amazon GameLift

  • Custom Game Servers
  • Amazon GameLift Realtime Servers
  • Adding FlexMatch Matchmaking
  • Amazon GameLift Plug-in for Unity

Module 3: Managing GameLift Hosting Resources

  • GameLift Hosting Resources
  • Create Resources Using AWS CloudFormation
  • Upload Builds and Scripts to GameLift
  • Setting Up GameLift Fleets
  • Scaling GameLift Hosting Capacity
  • Setting Up GameLift Queues for Game Session Placement
  • VPC Peering for GameLift

Module 4: Viewing Game Data in the Console

  • Current Amazon GameLift Status
  • Viewing Builds, Fleets, Details, and Aliases
  • View Data on Game and Player Sessions

Module 5: Monitoring Amazon GameLift

  • Monitor GameLift with Amazon CloudWatch
  • Logging Amazon GameLift API calls with AWS CloudTrail
  • Logging Server Messages in Amazon GameLift

Module 6: Security in Amazon GameLift

  • Data Protection in GameLift
  • Identity and Access Management for GameLift
  • Logging and Monitoring with GameLift
  • Compliance Validation for GameLift
  • Resilience in GameLift
  • Infrastructure Security in GameLift
  • Configuration and Vulnerability Analysis in GameLift
  • Security for Amazon GameLift

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Who should attend this Amazon GameLift Training Course?

The Amazon GameLift Training Course is designed for people who want to leverage game hosting, scaling and development. The Amazon GameLift Training Course can benefit professionals such as:

  • Game Developers
  • Game Server Administrators
  • Indie Game Developers
  • Cloud Architects
  • Quality Assurance Testers
  • DevOps Engineers
  • Backend Developers 

Prerequisites of the Amazon GameLift Training Course

There are no formal prerequisites for this Amazon GameLift Training Course. However, a basic understanding of game servers and mechanics can be beneficial for the delegates.

Amazon GameLift Training​ Course Overview

Amazon GameLift is a managed service that provides the authority deploying, operating and scaling the session-based multiplayer game servers in the cloud. Amazon is offering the helping hand to the gamers and game developers. Amazon GameLift replaces the work required to host a Physical Game Servers and no need to buying and setting up hardware. Amazon removes the burden of managing ongoing activity, security, storage, and performance tracking. This service has autoscaling capabilities.

In this 1-day course, delegates will learn about Amazon GameLift Service. Delegates will get an understanding of custom and realtime servers and prepare Games for GameLift. Delegates will be equipped with the knowledge of how to integrate games with custom and realtime servers. This course also includes the modules to prepare games for Amazon GameLift.

On course completion, delegates will get familiarised with the future concepts for development in gaming and will be predictive about upcoming game technologies as Amazon GameLift.

Course Objectives

  • To understand the core concepts of Amazon GameLift
  • To learn how GameLift works with real-time servers
  • To explore game architecture with GameLift-managed servers
  • To configure custom game servers and Amazon GameLift Realtime Servers
  • To implement FlexMatch matchmaking with Amazon GameLift
  • To master the setup of GameLift hosting resources

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What’s included in this Amazon GameLift Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon GameLift Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Lightsail Training Course Outline

This course is completely based on essential concepts of Amazon Lightsail service. The following modules are arranged to provide the complete knowledge of every area and concepts in Amazon Lightsail. Delegates will acquire the skills to develop and manage any websites and web applications with Amazon Lightsail.

Module 1: Introduction

  • What is AWS Lightsail VPN?
  • AWS Lightsail Features
  • Benefits of AWS Lightsail
  • AWS Lightsail Applications

Module 2: Databases in Amazon Lightsail

  • Overview
  • Creating a Database in Amazon Lightsail
  • Updating Database Parameters

Module 3: Lightsail Block Storage

  • Introduction
  • Benefits of Lightsail Block Storage

Module 4: Snapshots in Amazon Lightsails

  • Manual Snapshot
  • Automatic Snapshot
  • System Disk Snapshot
  • Creating New Resources from Snapshots
  • Exporting and Deleting Snapshots

Module 5: Best Practices for WordPress on AWS

  • Introduction
  • Simple Deployment
  • Improving Performance and Cost Efficiency

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Who should attend this AWS Lightsail Training Course?

The AWS Lightsail Training Course is suitable for those who want to leverage cloud infrastructure management and streamline deployment. The AWS Lightsail Training Course can benefit individuals such as:

  • DevOps Engineers
  • System Administrators
  • Technical Writers
  • Application Developers
  • Web Developers
  • Website Designers
  • Small Business Owners

Prerequisites of the AWS Lightsail Training Course

There are no formal prerequisites for this AWS Lightsail Course. However, a basic understanding of cloud-based services can be beneficial for the delegates.

AWS Lightsail Training Course Overview

Amazon Lightsail is a managed service that works on a cloud-based platform. It offers the required terms to build an application or website. Amazon Lightsail provides the Virtual Private Server (VPS) and can store and compute data as well as networking infrastructure. Along with this, it has the capability to deploy and manage websites within web applications in the cloud. Light Scale provides a bundle of resources such as a virtual machine, storage, data transfer, DNS management.

Professionals in Cloud Computing, DevOps, and IT Management will find this course highly valuable in mastering AWS Lightsnail's capabilities. Entrepreneurs and small business owners will benefit from learning how to set up cost effective cloud infrastructure using these powerful yet simple tools.

The Knowledge Academy's 1-day AWS Lightsail Training equips delegates with the skills and knowledge necessary to implement and manage cloud solutions effectively. the core understanding of the Aws Lightsail, and how to use it to deploy applications, manage security scale infrastructure.

Course Objectives

  • To learn best application deployment practices using Lightsail's preconfigured blueprint
  • To learn about how to do website hosting on the Amazon Lightsail Cloud Platform provided by Amazon web services
  • To gain insight into migration strategies and understanding when and how to transition from the Light to other AWS services
  • To familiarise yourself with the VPS instances, database, networking, storage, snapshots, and working with the WordPress in Amazon Lightsail
  • To promote best practice for cost-effective cloud hosting

Upon completion, delegates will be able to host websites on the Amazon Lightsail as well as get a complete understanding of how to manage resources. They will be able to set up and manage virtual servers, optimise networks performance, and implement secure cloud solutions.

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What’s included in this AWS Lightsail Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Lightsail Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Migrating Applications to AWS Training​ Course Outline

Module 1: AWS Business Essentials

  • Introduction to Cloud
  • Leveraging AWS for Competitive Benefits
  • Cloud Economics
  • Migrating to the Cloud
  • Security and Compliance

Module 2: AWS Technical Essentials

  • AWS: Introduction and History
  • AWS Foundational Services: EC2, VPC, S3, EBS
  • AWS Security, Identity, and Access Management: IAM
  • AWS Databases: RDS, DynamoDB
  • Tools of AWS Management: Auto Scaling, CloudWatch, Elastic Load Balancing
  • Trusted Advisor

Module 3: AWS Migration Strategy

  • AWS CAF – Cloud Adoption Framework
  • 6R Migration Pattern
  • AWS Well Architecture Framework

Module 4: Application Migration to AWS

  • Application Discovery Services
  • Server Migration Services
  • Agent Based and Agentless Server Migration Service

Module 5: Database Migration to AWS

  • DB Migration Challenges
  • Amazon Redshift
  • Amazon ElasticCache
  • Amazon Databases
  • AWS DB Migration Services
  • Migration Process

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Who should attend this Migrating Applications to AWS Training?

The Migrating Applications to AWS Course is designed for people who want to migrate applications to the AWS Cloud Platform. This course can benefit various professionals, including:

  • Cloud Architects
  • System Administrators
  • DevOps Engineers
  • Database Administrators
  • Application Developers
  • Network Engineers
  • Compliance Officers

Prerequisites of the Migrating Applications to AWS Training

There are no formal prerequisites for this Migrating Applications to AWS Course.

Migrating Applications to AWS Training Course Overview

As AWS adoption becomes widespread across various industries, professionals must prioritise acquiring these skills to remain competitive and relevant in the domain of cloud computing. Our Migrating Applications to AWS Training Course is designed to teach delegates the crucial process of moving their applications to AWS.

As AWS becomes increasingly vital for hosting applications, this training equips IT professionals with the essential knowledge and skills to succeed. Mastery of seamless application migration to AWS is crucial for IT Architects, Cloud Engineers, and System Administrators.

This 1-day intensive training empowers delegates with the expertise required for smoothly navigating the complexities of AWS application migration. Under the guidance of certified instructors, delegates will acquire practical experience in assessing, planning, and executing successful application migrations. During the transition, they will also learn essential best practices, tools, and techniques to optimise performance and cost-effectiveness.

Course Objectives

  • To understand the fundamentals of AWS cloud services
  • To assess existing applications for migration readiness
  • To develop comprehensive migration strategies
  • To execute migration projects with minimal downtime
  • To optimise AWS resources for cost savings
  • To ensure application security during and after migration
  • To troubleshoot common migration challenges
  • To leverage AWS tools and services for ongoing management

After completing this course, delegates will have the expertise and hands-on experience to migrate applications to AWS smoothly. They will be fully prepared to play a vital role in their organisation's transition to the cloud, guaranteeing efficient migrations, improved performance, and cost-effectiveness in the AWS Cloud.

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What’s included in this Migrating Applications to AWS Training?

  • World-Class Training Sessions from Experienced Instructors
  • Migrating Applications to AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Database Migration Training​ Course Outline

Module 1: Introduction to AWS Database Migration

  • Migration Tasks that AWS DMS Performs
  • How does AWS DMS Perform?
  • Getting Started and Setting Up
  • Migrate Scheme
  • Replication

Module 2: Best Practices

  • Migration Planning for AWS Database Migration Service
  • Schema Conversion
  • Reviewing AWS DMS Documentation
  • Improving Performance
  • Using your Own On-Premises Name Server
  • Migrating Large Binary Objects
  • Improving performance when migrating large tables using row filtering
  • Ongoing replication
  • Reducing the load on your source database
  • Reducing Bottlenecks on Your Target Database
  • Using data validation
  • Metrics Monitoring
  • Changing the user and schema for an Oracle target
  • Upgrading a replication instance
  • Understanding Migration Cost

Module 3: Working with Replication Instances

  • Choosing Replication Instance Types
  • Sizing a Replication Instance
  • Public and Private Replication Instances
  • Replication Engine Versions
  • Setting Up a Network for a Replication Instance
  • Setting an Encryption Key
  • Creating a Replication Instance
  • Modifying a Replication Instance
  • Rebooting a Replication Instance
  • Deleting a Replication Instance
  • DMS Maintenance Window

Module 4: Endpoints

  • Creating Source and Target Endpoints
  • Sources for Data Migration
  • Targets for Data Migration
  • Supported DDL Statements

Module 5: Tasks

  • Creating a Task
  • Continuous Replication Tasks
  • Modifying a Task
  • Specifying Supplemental Data and Monitoring Tasks
  • Working with Events and Notifications
  • Data Validation
  • Tagging Resources

Module 6: Security

  • Data Protection
  • Identify and Access Management
  • Compliance Validation
  • Infrastructure Security
  • Setting an Encryption Key
  • Network Security

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Who should attend this AWS Database Migration Training Course?

The AWS Database Migration Course is designed for those who want to get better at planning, executing, and managing Database Migration on the AWS Platform. This course can especially benefit the following professionals:

  • Operations Managers
  • Software Developers
  • DevOps Engineers
  • Technical Project Managers
  • Compliance Officers
  • Infrastructure Managers
  • Database Administrators

Prerequisites of the AWS Database Migration Training Course

There are no formal prerequisites for this AWS Database Migration Course.

AWS Database Migration Training Course Overview

The AWS Database Migration Training Course equips learners with the skills to efficiently migrate databases to AWS, ensuring cost-effectiveness, security, and scalability. This course is ideal for organisations transitioning to the cloud and benefits professionals by enabling smoother migration processes and enhancing career opportunities in cloud computing.

This AWS Database Migration Training is designed for IT Professionals, Database Administrators, and Cloud Enthusiasts aiming to excel in database migration using AWS. It empowers learners to stay competitive in the industry by mastering essential migration techniques and leveraging AWS’s robust cloud infrastructure.

This 1-day AWS Database Migration Training, provided by The Knowledge Academy, offers comprehensive insights into AWS database migration tools and best practices. With expert-led training and practical exercises, learners gain confidence in executing seamless database migrations, enhancing their ability to optimise performance and minimise downtime, key skills for advancing in cloud computing roles.

Course Objectives

  • To understand AWS database migration services and tools.
  • To plan and execute database migrations efficiently.
  • To ensure data security and integrity during migration.
  • To troubleshoot common migration challenges.
  • To optimise database performance post-migration.
  • To utilise AWS’s advanced analytics for database insights.

Upon completing this AWS Database Migration Training, learners will be proficient in migrating databases to AWS, ensuring secure and cost-effective transitions. They will also be equipped to handle complex migration scenarios, driving innovation in their professional roles.

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What’s included in this AWS Database Migration Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Database Migration Certificate
  • Digital Delegate Pack

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Online Instructor-led (4 days)

Online Self-paced (32 hours)

AWS Specialty Security Training​ Course Outline

Module 1: Security Fundamentals

  • Understanding Security
  • Basic Security Concepts
  • Foundational Networking Concepts
  • Main Classes of Attacks
  • Risk Management
  • Well-Known Security Frameworks and Models

Module 2: Cloud Security Principles and Frameworks

  • Cloud Security Principles Overview
  • Shared Responsibility Model
  • AWS Compliance Programmes
  • AWS Well-Architected Framework
  • AWS Marketplace

Module 3: Identity and Access Management

  • IAM Overview
  • Create an IAM User
  • Access Management in Amazon S3
  • Identity Federation
  • Multi-Account Management with AWS Organisations
  • Microsoft AD Federation with AWS

Module 4: Detective Controls

  • Stage 1: Resources State
  • Stage 2: Events Collection
  • Stage 3: Events Analysis
  • Stage 4: Action

Module 5: Infrastructure Protection

  • AWS Networking Constructs
  • Network Address Translation
  • Security Groups
  • Network Access Control Lists
  • Elastic Load Balancing
  • VPC Endpoints
  • VPC Flow Logs
  • AWS Web Application Firewall
  • AWS Shield

Module 6: Data Protection

  • Introduction to Data Protection
  • AWS Key Management Service
  • Creating a Customer Master Key in AWS KMS
  • Cloud Hardware Security Module
  • AWS Certificate Manager
  • Protecting S3 Buckets
  • Amazon Macie

Module 7: Incident Response

  • Incident Response Maturity Model
  • Incident Response Best Practices
  • Rotate AWS IAM Credentials

Module 8: Security Automation

  • Security Automation Overview
  • Event-Driven Security
  • Using AWS Lambda for Automated Security Response
  • AWS Config Auto Remediation
  • Automating Resolution of Findings Using AWS Security Hub

Module 9: Security Troubleshooting on AWS

  • Using Troubleshooting Tools and Resources
  • Common Access Control Troubleshooting Scenarios
  • Encryption and Decryption Troubleshooting Scenarios
  • Network and Connectivity Troubleshooting Scenarios

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Who should attend this AWS Specialty Security Training Course?

The AWS Specialty Security Course is designed for professionals aiming to demonstrate their proficiency on the Amazon Web Services (AWS) platform.

Here are the professionals who can benefit greatly from attending this course:

  • Security Engineers
  • Security Consultants
  • CISOs
  • Cloud Security Specialists
  • Compliance Officers
  • Auditors
  • Network Security Professionals

Prerequisites of the AWS Specialty Security Training Course

There are no formal prerequisites for this AWS Specialty Security Course. However, familiarity with Cloud Security principles can be beneficial for the delegates.

AWS Specialty Security Training Course Overview

The AWS Specialty Security course provides delegates with the skills and knowledge needed to secure cloud environments on AWS. With the increasing adoption of cloud services, security expertise is in high demand. This certification helps individuals demonstrate their ability to implement security best practices, ensuring organisations’ cloud infrastructures are protected. By mastering AWS security tools, delegates can improve an organisation's security posture and reduce risks associated with data breaches.

This course is aimed at professionals in security, networking, and cloud computing who want to enhance their skills. By gaining certification, delegates can stand out in a competitive job market, gain recognition, and access higher-level roles within organisations focused on cloud security. Furthermore, this certification opens doors to a wide range of opportunities across industries, offering professionals the chance to specialise in one of the most sought-after areas in IT today.

This course, provided by The Knowledge Academy, equips delegates with a comprehensive understanding of AWS security principles. It’s delivered by experienced instructors, ensuring practical, real-world application. The Knowledge Academy’s global reputation ensures high-quality training, making this course an excellent investment for enhancing career prospects in cloud security.

Course Objectives

  • Understand AWS security services and best practices
  • Implement secure access controls
  • Manage identity and access in AWS environments
  • Recognise common security risks in cloud environments
  • Mitigate security threats in AWS
  • Gain hands-on experience with security tools

By completing the course, delegates will be equipped to implement robust security measures on AWS, helping protect sensitive data and cloud infrastructure. They will also be prepared to handle security-related challenges, ensuring the resilience and integrity of cloud environments.

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What’s included in this AWS Specialty Security Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Specialty Security Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Cloud Financial Management for Builders Training Course Outline

Module 1: Introduction to Cloud Financial Management

  • Introduction to AWS
  • Well-Architected Framework
  • Introduction to Cloud Financial Management
  • Six Advantages of the Cloud
  • Four Pillars of Cloud Financial Management

Module 2: Resource Tagging

  • Tagging Resources
  • AWS Config

Module 3: Pricing and Cost

  • Fundamentals of Pricing
  • AWS Free Tier
  • Volume Discounts
  • Savings Plans and Reserved Instances
  • Demonstration: AWS Pricing Calculator

Module 4: AWS Billing, Reporting, and Monitoring

  • Reporting and Planning
  • AWS Cost Explorer
  • AWS Budgets
  • Demonstration: AWS Billing Console
  • Demonstration: Trusted Advisor
  • Auto Scaling

Module 5: Architecting for Cost: Compute

  • Performance Efficiency
  • Right-Sizing Your Instances
  • Purchasing Options
  • Architect for Amazon EC2 Spot Instance
  • AWS License Manager
  • Compute Optimiser
  • Spot Instance Advisor
  • CloudWatch
  • Amazon Elastic Compute Cloud (Amazon EC2)

Module 6: Architecting for Cost: Networking

  • Data Transfer Costs
  • Understand Data Costs for Different Services
  • How to Reduce AWS Data Transfer Costs?
  • Use and Optimise Amazon CloudFront CDN
  • Caching on AWS with Amazon CloudFront

Module 7: Architecting for Cost: Storage

  • Amazon EBS
  • Amazon Simple Storage Service (Amazon S3)
  • Amazon Elastic File System (Amazon EFS)

Module 8: Architecting for Cost: Database

  • Amazon Relational Database Service (Amazon RDS)
  • Amazon Aurora
  • Amazon DynamoDB
  • Introduction to ElastiCache Redis
  • Amazon Redshift
  • Amazon Cognito

Module 9: Cost Governance

  • Account Users and AWS IAM
  • AWS Systems Manager
  • Instance Scheduler on AWS

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Who should attend this AWS Cloud Financial Management for Builders Training Course?

The AWS Cloud Financial Management for Builders Course is designed for a diverse range of professionals involved in architecting and managing cloud solutions within organisations. The following professionals and individuals can greatly benefit from attending this course:

  • Cloud Architects
  • Solution Architects
  • DevOps Engineers
  • System Engineers
  • Infrastructure Managers
  • Financial Analysts
  • Compliance Officers

Prerequisites of the AWS Cloud Financial Management for Builders Training Course

There are no formal prerequisites for AWS Cloud Financial Management for Builders Course. However, familiarity with Cloud Computing can be beneficial for the delegates.

AWS Cloud Financial Management for Builders Training​ Course Overview

Cloud financial management is the utilisation of the cloud to manage an organisation's financial planning. It helps individuals to manage accounts, create financial reports, handle payroll, process payments, and manage the budget. It helps organisations to keep track of assets, expenses, purchases, and sales. It assists individuals to manage, optimise, and estimate costs to run workloads on AWS. Studying AWS Cloud Financial Management for Builders Training course helps learners to architect cost-efficient solutions on AWS. Pursuing this training will help individuals to gain the required knowledge, skills, and experience to enhance their career prospects.

This 2-day AWS Cloud Financial Management for Builders Training course covers all necessary concepts that will help delegates to become thoroughly familiar with cloud financial management. They will learn about AWS billing, reporting, and monitoring during this training. They will also learn about volume discounts, AWS budgets, the evolution of computing efficiency, purchasing options, and many more. Our highly professional trainer with years of experience in teaching such courses will conduct this training course and help delegates to gain a comprehensive understanding of AWS.

Course Objectives

  • To set up development environments and configure AWS CLI
  • To create, manage, and scale Kinesis data streams efficiently
  • To write streaming data using producers and Kinesis APIs
  • To develop consumers using Lambda, Analytics, and Firehose
  • To monitor data streams performance with Amazon CloudWatch
  • To apply security, compliance, and resilience measures in Kinesis

After attending the AWS Cloud Financial Management for Builders Training course, delegates will be able to reduce storage costs using Amazon S3 lifecycle management. They will also be able to reduce computing costs using an AWS instance scheduler.

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What’s included in this AWS Cloud Financial Management for Builders Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Cloud Financial Management for Builders Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Planning and Designing Databases on AWS Training Course Outline

Module 1: Database Concepts and General Guidelines

  • Databases in the Cloud
  • Database Design Principles
  • Transactional Compliance

Module 2: Database Planning and Design

  • Workload Requirements
  • Design Considerations

Module 3: Databases on Amazon EC2

  • Amazon EC2 for Hosting Databases

Module 4: Purpose-Built Databases

  • Journey to AWS
  • Data Modeling Basics

Module 5: Databases on Amazon RDS

  • Amazon RDS Databases
  • Amazon RDS Distinguishing Features
  • Amazon RDS Design Considerations
  • Lab 1: Working with Amazon RDS Databases

Module 6: Databases in Amazon Aurora

  • Amazon Aurora Databases
  • Aurora Distinguishing Features
  • Aurora Design Considerations
  • Lab 2: Working with Amazon Aurora Databases

Module 7: Databases in Amazon DocumentDB (with MongoDB Compatibility)

  • Amazon DocumentDB
  • Amazon DocumentDB Design Considerations
  • Lab 3: Working with Amazon DocumentDB Databases

Module 8: Amazon DynamoDB Tables

  • Amazon DynamoDB
  • DynamoDB Data Modelling
  • DynamoDB Distinguishing Features
  • DynamoDB Design Considerations
  • Lab 4: Working with Amazon DynamoDB Tables

Module 9: Databases in Amazon Neptune

  • Amazon Neptune
  • Neptune Design Considerations

Module 10: Databases in Amazon Quantum Ledger Database (Amazon QLDB)

  • Amazon Quantum Ledger Database (Amazon QLDB)
  • Amazon QLDB Design Considerations

Module 11: Databases in Amazon ElastiCache

  • Amazon ElastiCache
  • ElastiCache for Memcached
  • ElastiCache for Redis

Module 12: Data Warehousing in Amazon Redshift

  • Amazon Redshift
  • Amazon Redshift Distinguishing Features
  • Amazon Redshift Data Modeling
  • Amazon Redshift Design Considerations
  • Lab 5: Working with Amazon Redshift Clusters

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Who should attend Planning and Designing Databases on AWS Training Course?

The Planning and Designing Databases on AWS Course is tailored for professionals involved in architecting, planning, and managing databases on the AWS cloud platform. The following professionals can greatly benefit from attending this course:

  • Database Administrators
  • Solution Architects
  • DevOps Engineers
  • Application Developers
  • Database Developers
  • System Administrators
  • Data Engineers

Prerequisites of the Planning and Designing Databases on AWS Training Course

There are no formal prerequisites for Planning and Designing Databases on AWS Course. However, familiarity with database administration can be beneficial for the delegates.

Planning and Designing Databases on AWS Training Course Overview

Efficient database planning and design are crucial for ensuring optimal performance, scalability, and security in modern applications. This course equips delegates with the skills to plan, design, and implement robust databases on AWS, enhancing their technical capabilities and career prospects in cloud-based database management. Delegates will also explore industry best practices and gain hands-on experience to tackle complex database challenges.

This course is ideal for IT professionals, database administrators, and cloud architects aiming to expand their expertise in AWS database solutions. It helps delegates advance in their careers by mastering advanced techniques for designing efficient, secure, and scalable database systems in a competitive industry. Additionally, it provides the knowledge needed to address critical business needs using cloud-based database technologies.

This course provided by The Knowledge Academy covers essential concepts and practical skills for planning and designing databases using AWS tools and services. Delegates gain in-depth knowledge to optimise database solutions, ensuring reliability and scalability in real-world applications, making them invaluable assets to their organisations. The course also prepares delegates for advanced roles in cloud computing and database management.

Course Objectives

  • Understand AWS database services and their features
  • Learn best practices for database design on AWS
  • Plan and implement database solutions for specific use cases
  • Explore security considerations in database management
  • Optimise database performance and scalability
  • Gain hands-on experience with AWS database tools
  • Prepare for AWS database-related certifications

By completing this course, delegates will be able to design, implement, and manage efficient database solutions on AWS, enhancing organisational performance and securing career growth in cloud database technologies. They will also acquire the skills to confidently handle evolving database demands in various industries.

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What’s included in this Planning and Designing Databases on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Planning and Designing Databases on AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Video Streaming Essentials for AWS Media Services Training Course Outline

Module 1: Important Video Concepts

  • Resolution, Bitrate, Frame Rate, Latency, and Compression
  • Codecs and Containers
  • Group of Pictures (GOP) Encoding
  • ABR, Packaging and Distribution
  • Internet Protocols used in Video Streaming

Module 2: Anatomy of Streaming Workflows

  • Four Stages of Video Streaming
  • Variables that Affect Design Decisions

Module 3: Using AWS Services in Video-on-Demand (VOD) Workflows

  • Converting a Film or Tape Library for Internet Streaming
  • Increasing Reach and Accessibility Using Multiple Languages and Captions
  • Streaming Edited Highlights from a Live Event
  • Analysing and Tagging VOD Files for Media Content Analysis Using Machine Learning and Data Analytics

Module 4: Optimising Workflows

  • Security
  • Migrating to the Cloud
  • Cloud Financial Management

Module 5: Using AWS Services in Live Workflows

  • Challenges of Live Streaming
  • Live Streaming a Simple Interview Show
  • Live Streaming a Major Sporting Event to a Global Audience
  • Live Switching Between Multiple Inputs
  • Saving Segments from a Live Show to Create VOD Segments

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Who should attend this Video Streaming Essentials for AWS Media Services Training Course?

The Video Streaming Essentials for AWS Media Services Course is ideal for professionals seeking to harness the power of AWS Media Services for seamless and high-quality video streaming. The following professionals and individuals can greatly benefit from attending this course:

  • Video Engineers
  • Media Professionals
  • Content Developers
  • Broadcasters and Streaming Managers
  • DevOps Engineers
  • System Designers
  • Streaming Media Analysts

Prerequisites of the Video Streaming Essentials for AWS Media Services Training Course

There are no formal prerequisites for this Video Streaming Essentials for AWS Media Services Course. However, familiarity with Video Streaming Concepts and AWS Media Services can be beneficial for the delegates.

Video Streaming Essentials for AWS Media Services Training​ Course Overview

Video streaming is a continuous transmission of video files from a server to a client. It enables individuals to view videos online without having to download them. AWS offers the most purpose-built media services, software, and appliances of any cloud to create, transform, and deliver digital content fast and easy to their clients. Today’s users mostly choose AWS Media Services to transport, prepare, process and deliver live and on-demand content in the cloud. Studying this training will enable individuals to identify AWS services for compliance, storage, and computing in video streaming workflows with AWS Media Services. This training will help individuals excel in highly reputed jobs and upgraded salaries.

In this 1-day Video Streaming Essentials for AWS Media Services training course, delegates will learn how to analyse video streaming workflow diagrams using AWS services based on simple to complex use cases. During this training, delegates will learn various concepts such as the anatomy of streaming workflows, challenges of live streaming, optimising workflows, resolution, bitrate, frame rate, latency, compression, migrating to the cloud, etc. Our highly skilled and professional trainer, who has years of experience teaching AWS training courses, will conduct this training.

Course Objectives

  • To understand fundamental video streaming concepts and technologies
  • To explore anatomy of streaming workflows and design decisions
  • To implement AWS services in VOD streaming workflows
  • To apply captions, languages, and ML for accessibility improvements
  • To optimise video workflows with cloud and security best practices
  • To design and deliver live streaming workflows using AWS services

After attending this training, delegates will be able to design and implement end-to-end video streaming workflows using AWS Media Services. They will be capable of configuring video-on-demand workflows, live streaming large-scale events, and optimising media delivery with adaptive bitrate streaming and security practices. Delegates will also be able to apply machine learning for media content analysis, incorporate accessibility features, and manage cloud resources effectively.

At the end of this training, delegates will be able to make video streaming workflow decisions, including video metrics, compression, distribution, and protocols. They will also be able to convert a film or tape library for internet streaming.

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What’s included in this Video Streaming Essentials for AWS Media Services Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Video Streaming Essentials for AWS Media Services Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Practical Data Science with Amazon SageMaker Training​ Course Outline

Module 1: Introduction to Machine Learning

  • Types of Machine Learning
  • Job Roles in Machine Learning
  • Steps in the Machine Learning Pipeline

Module 2: Introduction to Data Preparation and SageMaker

  • Training and Test Dataset Defined
  • Introduction to Amazon SageMaker
  • Launching a Jupyter Notebook

Module 3: Problem Formulation and Dataset Preparation

  • Business Challenge: Customer Churn
  • Review of Customer Churn Dataset

Module 4: Data Analysis and Visualisation

  • Loading and Visualising Your Dataset
  • Cleaning the Data

Module 5: Training and Evaluating a Model

  • Types of Algorithms
  • Training the Data
  • Evaluating Model Performance

Module 6: Automatically Tune a Model

  • Automatic Hyperparameter Tuning with SageMaker

Module 7: Relative Cost of Errors

  • Cost of Various Error Types
  • Binary Classification Cutoff

Module 8: Amazon SageMaker Architecture and Features

  • Amazon SageMaker Model Card
  • Amazon SageMaker Neo

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Who should attend this Practical Data Science with Amazon SageMaker Training Course?

The Practical Data Science with Amazon SageMaker Course is designed for data professionals and analysts who want to harness the power of Amazon SageMaker for effective and practical data science projects. The following professionals can greatly benefit from attending this course:

  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers
  • Cloud Solutions Architects
  • Business Analysts
  • Data Engineers
  • IT Professionals

Prerequisites of the Practical Data Science with Amazon SageMaker Training Course

There are no formal prerequisites for this Practical Data Science with Amazon SageMaker Course. However, familiarity with Python programming language and Machine Learning can be beneficial for the delegates.

Practical Data Science with Amazon SageMaker Training Course Overview

Amazon SageMaker is a powerful cloud-based machine learning platform that simplifies the process of building, training, and deploying machine learning models at scale. With the growing demand for data-driven decision-making, organisations need tools that streamline workflows and enhance productivity. Amazon SageMaker meets this need by providing an integrated environment for data scientists and developers to harness the power of machine learning without extensive infrastructure management.

This Practical Data Science with Amazon SageMaker Training is particularly beneficial for data scientists, machine learning engineers, data analysts, and business intelligence professionals seeking to deepen their understanding of data science methodologies and Amazon SageMaker. Additionally, IT professionals and project managers involved in data-driven projects can also gain valuable insights from this training.

This 1-day Practical Data Science with Amazon SageMaker Training by The Knowledge Academy equips professionals with the practical skills needed to leverage Amazon SageMaker effectively. Delegates will learn to create and deploy machine learning models, streamline their data science workflows, and implement best practices for model optimisation and monitoring. The hands-on approach ensures delegates can apply their learning immediately to real-world scenarios.

Course Objectives

  • To understand the fundamentals of machine learning and data science
  • To navigate the Amazon SageMaker interface effectively
  • To build, train, and deploy machine learning models
  • To implement data pre-processing techniques
  • To evaluate and optimise models for better performance
  • To explore various machine learning algorithms available in SageMaker

Upon completion of the Practical Data Science with Amazon SageMaker Training, delegates will possess the skills to implement data science projects using Amazon SageMaker, enabling them to drive business insights and innovation through effective machine learning solutions. This practical knowledge can significantly enhance their contributions to data-driven initiatives within their organisations.

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What’s included in this Practical Data Science with Amazon SageMaker Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Practical Data Science with Amazon SageMaker Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Database Offerings Training ​Course Outline

Module 1: Relational Databases

  • Introduction to Relational Databases
  • Importance Aspects of Relational Databases
  • Relational Database Engines on Amazon RDS

Module 2: Non-Relational Databases

  • What is a Non-Relational Database?
  • Non-Relational Databases
  • Benefits of a Non-Relational Database
  • Non-Relational Databases and Application Development

Module 3: Database Migration

  • Introduction to Database Migration
  • Benefits of Database Migration
  • Database Migration Challenges
  • How is Database Migration Done?

Module 4: Application Architecture

  • Introduction to Application Architecture
  • Basic Functions of Application Architecture

Module 5: Serverless Architectures

  • What is Serverless Architectures?
  • Why Use Serverless Architectures?
  • Use Cases of Serverless Architectures

Module 6: Purpose-Built Databases

  • Introduction to Purpose-Built Databases
  • Why Purpose-Built Databases?
  • Factors to Consider When Choosing a Purpose-Built Database

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Who should attend this AWS Database Offerings Training Course?

The AWS Database Offerings Course is tailored for IT professionals, database administrators, developers, and anyone seeking to understand and effectively leverage the diverse range of database solutions offered by Amazon Web Services. The following professionals can greatly benefit from attending this course:

  • Database Administrators
  • Database Architects
  • Cloud Architects
  • System Administrators
  • Data Engineers
  • Solution Architects
  • DevOps Engineers

Prerequisites of the AWS Database Offerings Training Course

There are no formal prerequisites for this AWS Database Offerings Course. However, familiarity with AWS Database Services can be beneficial for the delegates.

AWS Database Offerings Training ​Course Overview

AWS offers a comprehensive choice of fully managed, purpose-built database services, including both relational and non-relational databases, that are specifically intended to meet any type of application demand. Pursuing this AWS Database Offerings training will give you an overview of different database technologies, architectures and also introduce you to the various Amazon Web Services (AWS) database services. This obtained information can lead you to attain many greater designations such as operational support engineer, cloud software engineer, AWS solutions architect, DevOps engineer, and many other job titles.

The Knowledge Academy’s 1-day AWS Database Offerings training course is designed to enlighten the delegates about introducing the various Amazon Web Services (AWS) database services. During this training course, delegates will understand the various database migration challenges in AWS. The delegates will get elaborated information about the factors to consider when choosing a purpose-built database in AWS.

Course Objectives

  • To understand relational databases and their services within AWS platforms
  • To explore non-relational databases and their application development benefits
  • To analyse challenges and best practices for effective database migration
  • To apply essential principles of application and solution architecture effectively
  • To evaluate serverless architectures and identify practical business use cases
  • To align AWS database offerings with long-term organisational strategies

At the end of this training course, delegates will be able to get familiar with the database migration challenges because it helps to save money. The delegates will also be able to know the non-relational databases and application development. Our highly expert trainer with abundant knowledge about the overview of the AWS Database and introduce you to the services that make up the platform work efficiently.

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What’s included in this AWS Database Offerings Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Database Offerings Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Running Containers on Amazon Elastic Kubernetes Service EKS Training​ Course Outline

Module 1: Kubernetes Fundamentals

  • Introduction to Kubernetes
  • Kubernetes Core Concepts
  • Kubernetes Networking
  • Kubernetes Storage

Module 2: Amazon Elastic Kubernetes Service (EKS)

  • Introduction to Amazon EKS
  • Getting Started with Amazon EKS
  • EKS Cluster Configuration

Module 3: Auditing on EKS

  • EKS Cluster Monitoring
  • Auditing EKS Cluster Activities

Module 4: Reading and Investigating EKS Logs

  • Understanding EKS Logs
  • Log Collection and Analysis

Module 5: EKS Configurations and Security

  • Securing EKS Clusters
  • EKS Cluster Upgrades and Backup
  • Autoscaling and Resource Management

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Who should attend this Running Containers on Amazon Elastic Kubernetes Service EKS Training Course?

The Running Containers on Amazon Elastic Kubernetes Service EKS Course is designed for professionals who want to learn how to effectively deploy, manage, and scale containerised applications using Amazon EKS. The following professionals can greatly benefit from attending this course:

  • Software Developers
  • Application Architects
  • Solution Architects
  • Technical Leads
  • DevOps Engineers
  • System Administrators
  • IT Professionals

Prerequisites of the Running Containers on Amazon Elastic Kubernetes Service EKS Training Course

Before attending this Running Containers on Amazon Elastic Kubernetes Service EKS Course, delegates should be familiar with Amazon Elastic Kubernetes Service Primer and should have completed the AWS Cloud Practitioner Training.

Running Containers on Amazon Elastic Kubernetes Service EKS Training​ Course Overview

Running containers on Amazon Elastic Kubernetes Service (EKS) offers a powerful and flexible solution for managing containerised applications in the cloud. EKS, a managed Kubernetes service, simplifies the deployment, scaling, and orchestration of containers, allowing developers to focus on building and optimising their applications. It aims to facilitate faster deployment and orchestration by effectively managing and scaling containerised applications in a highly available, secure, and automated environment. This training equips learners with a robust platform for seeking to leverage the benefits of containerisation in a cloud-native environment. Individuals with excellent knowledge of EKS will get higher salary packages and numerous job opportunities for career enhancement.

In this 2-day Running Containers on Amazon Elastic Kubernetes Service EKS Training Course, delegates will gain in-depth knowledge of managing containerised applications. During this training, delegates will learn about managing and maintaining Kubernetes environments effectively through scaling ELS clusters. Our highly skilled and experienced trainer, who has years of experience in teaching these AWS training courses, will conduct this training as well.

Course Objectives

  • To provide built-in monitoring and logging capabilities
  • To gain insights into the troubleshooting issues effectively
  • To integrate Kubernetes services with other cloud services
  • To distribute Kubernetes control planes across multiple zones
  • To ensure the cluster can handle varying workloads efficiently
  • To control access to AWS resources and maintain a secure environment

After attending this training course, delegates will be able to manage and analyse the logs generated by your Kubernetes clusters. They will also be able to manage permissions for different users and resources based on their roles within your organisation.

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What’s included in this Running Containers on Amazon Elastic Kubernetes Service EKS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Running Containers on Amazon Elastic Kubernetes Service EKS Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Security Engineering on AWS Training​ Course Outline

Module 1: Security on AWS

  • Security in the AWS Cloud
  • AWS Shared Responsibility Model
  • Incident Response Overview
  • DevOps with Security Engineering

Module 2: Identifying Entry Points on AWS

  • Identify the Different Ways to Access the AWS Platform
  • Understanding IAM Policies
  • IAM
    • Permissions Boundary
    • Access Analyser
  • Multi-Factor Authentication
  • AWS CloudTrail

Module 3: Security Considerations: Web Application Environments

  • Threats in a Three-Tier Architecture
  • Common Threats
    • User Access
    • Data Access
  • AWS Trusted Advisor

Module 4: Application Security

  • Amazon
    • Machine Images
    • Inspector
  • AWS Systems Manager

Module 5: Data Security

  • Data Protection Strategies
  • Encryption on AWS
  • Protecting
    • Data at Rest with Amazon S3, Amazon RDS, Amazon DynamoDB
    • Archived Data with Amazon S3 Glacier
  • Amazon S3 Access
    • Analyser
    • Amazon S3 Access Points

Module 6: Securing Network Communications

  • Amazon VPC
    • Security Considerations
    • Amazon VPC Traffic Mirroring
  • Responding to Compromised Instances
  • Elastic Load Balancing
  • AWS Certificate Manager

Module 7: Monitoring and Collecting Logs on AWS

  • Amazon CloudWatch and CloudWatch Logs
  • AWS Config
  • Amazon
    • Macie
    • VPC Flow Logs
    • S3 Server Access Logs
  • ELB Access Logs

Module 8: Processing Logs on AWS

  • Amazon Kinesis
  • Amazon Athena

Module 9: Security Considerations: Hybrid Environments

  • AWS Site-to-Site and Client VPN Connections
  • AWS Direct Connect
  • AWS Transit Gateway

Module 10: Out-Of-Region Protection

  • Amazon Route 53
  • AWS WAF
  • Amazon CloudFront
  • AWS Shield
  • AWS Firewall Manager
  • DDoS mitigation on AWS

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Who should attend this Security Engineering on AWS Training Course?

The Security Engineering on AWS Training is designed for professionals who want to deepen their understanding of security practices and principles on the Amazon Web Services (AWS) platform. The following professionals can greatly benefit from attending this course:

  • Security Engineers
  • Security Analysts
  • Business Analysts
  • System Administrators
  • Cloud Architects
  • DevOps Engineers
  • IT Managers

Prerequisites of the Security Engineering on AWS Training Course

Before attending this Security Engineering on AWS Training, delegates should have completed the Architecting on AWS and Introduction to AWS Security courses and should be familiar with the AWS Security Services.a

Security Engineering on AWS Training Course Overview

Security Engineering on AWS is vital for organisations leveraging cloud infrastructure to ensure their applications and data are protected. With the rapid adoption of cloud technologies, businesses face increasing threats, making the implementation of robust security controls on AWS critical. Understanding best practices, encryption techniques, and identity management is essential to safeguarding sensitive data and ensuring compliance in the cloud.

This Security Engineering on AWS Training will benefit cloud architects, security engineers, IT professionals, and network administrators who are responsible for securing cloud infrastructures and ensuring the integrity of applications hosted on AWS. It is ideal for individuals who want to develop their skills in designing and managing secure environments on AWS.

This 2 Days Security Engineering on AWS Training by The Knowledge Academy offers professionals the tools and knowledge to implement security measures effectively within AWS. Delegates will explore the core security services AWS provides, how to configure them, and how to develop a comprehensive security strategy to manage access, encryption, and logging in the cloud.

Course Objectives

  • To perform and automate security checks
  • To configure authentication and permissions for applications and resources
  • To monitor AWS resources and respond to incidents
  • To capture and process logs
  • To create and configure automated and repeatable deployments with tools such as AMIs and AWS CloudFormation

After attending this Security Engineering on AWS Training, delegates will be able to protect data at rest with Amazon S3, Amazon RDS, and Amazon DynamoDB, and protect archived data with Amazon S3 Glacier. They will also be able to use Amazon CloudWatch logs to monitor, store, and access their log files from Amazon Elastic Compute Cloud (Amazon EC2) instances, AWS CloudTrail, Route 53, and other sources.

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What’s included in this Security Engineering on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Security Engineering on AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Cloud Practitioner Training Course Overview

Module 1: Introduction to Amazon Web Services

  • Introduction
  • Cloud Computing

Module 2: Compute in the Cloud

  • Introduction
  • Amazon EC2 Instance Types
  • Amazon EC2 Pricing
  • Scaling Amazon EC2
  • Directing Traffic with Elastic Load Balancing
  • Messaging and Queuing
  • Additional Compute Services

Module 3: Global Infrastructure and Reliability

  • Introduction
  • AWS Global Infrastructure
  • Edge Locations
  • How to Provision AWS Resources

Module 4: Networking

  • Introduction
  • Connectivity to AWS
  • Subnets and Network Access Control Lists
  • Global Networking

Module 5: Storage and Databases

  • Introduction
  • Instance Stores and Amazon Elastic Block Store (Amazon EBS)
  • Amazon Simple Storage Service (Amazon S3)
  • Amazon Elastic File System (Amazon EFS)
  • Amazon Relational Database Service (Amazon RDS)
  • Amazon DynamoDB
  • Amazon Redshift
  • AWS Database Migration Service
  • Additional Database Services

Module 6: Security

  • Introduction
  • AWS Shared Responsibility Model
  • User Permissions and Access
  • AWS Organisations
  • Compliance
  • Denial-of-Service Attacks
  • Additional Security Services

Module 7: Monitoring and Analytics

  • Introduction
  • Amazon CloudWatch
  • AWS CloudTrail
  • AWS Trusted Advisor

Module 8: Pricing and Support

  • Introduction
  • AWS Free Tier
  • AWS Pricing Concepts
  • Billing Dashboard
  • Consolidated Billing
  • AWS Budgets
  • AWS Cost Explorer
  • AWS Support Plans
  • AWS Marketplace

Module 9: Migration and Innovation

  • Introduction
  • AWS Cloud Adoption Framework (AWS CAF)
  • Migration Strategies
  • AWS Snow Family
  • Innovation with AWS

Module 10: The Cloud Journey

  • Introduction
  • The AWS Well-Architected Framework
  • Benefits of the AWS Cloud

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Who Should Attend this AWS Cloud Practitioner Training?

This AWS Cloud Practitioner Certification Course is designed for individuals who are interested in gaining a foundational understanding of cloud computing and Amazon Web Services (AWS). This course can be beneficial to a wide range of professionals, including:

  • Aspiring Cloud Professionals
  • Data Scientists
  • Machine Learning Engineers
  • Developers
  • Business Analysts
  • Business Leaders
  • Entrepreneurs

Prerequisites of the AWS Cloud Practitioner Training

There are no formal prerequisites for attending the AWS Cloud Practitioner Certification Course.

AWS Cloud Practitioner Training Course Overview

AWS Cloud Practitioner Training introduces delegates to core Cloud Computing concepts and the AWS environment. It explains essential AWS services and how cloud solutions support modern businesses.

This training builds cloud awareness and a practical understanding of AWS capabilities. Delegates gain confidence to support cloud-based decisions and scalable IT operations.

This 1-Day AWS Cloud Practitioner Course focuses on applying cloud concepts in real contexts. Delegates gain insight into AWS services and effective cloud adoption across organisations.

AWS Cloud Practitioner Training Course Objectives

  • To get in-depth knowledge about Cloud Computing and virtualisation
  • To understand the shared responsibility model for AWS resources
  • To attain knowledge of cost optimisation and analysis using AWS Cost Explorer
  • To utilise Amazon Simple Storage Service (S3) for scalable object storage
  • To explore load balancing techniques using Elastic Load Balancer
  • To use Amazon Relational Database Service (RDS) for managed relational databases

After attending this AWS Cloud Practitioner Certification, delegates will be able to deploy and manage Amazon Elastic Compute Cloud (EC2) instances. They will also be able to create and manage Virtual Private Cloud (VPC) environments.

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What’s Included in this AWS Cloud Practitioner Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Cloud Practitioner Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Professional DevOps Engineer Training Course Outline

Module 1: Introduction to Cloud Computing

  • Overview of Services Pillars
  • Operational Excellence
  • Security
  • Reliability
  • Performance Efficiency
  • Cost Optimisation

Module 2: Fundamentals of AWS Services

  • Accessing the AWS Account
  • Cloud Compute in AWS
  • Introduction to Elastic Compute Cloud
  • Route 53
  • Amazon Relational Database Services
  • Message and Queuing System

Module 3: Identity and Access Management and Working with Secrets in AWS

  • Understanding the Shared Responsibility in AWS
  • IAM Roles, Groups, Users and Policies
  • Amazon Cognito

Module 4: Amazon S3 Blob Storage

  • Introduction
  • S3 Concepts
  • S3 Batch Operations
  • S3 Replication Hand - On

Module 5: Amazon DynamoDB

  • Basics of Amazon DynamoDB
  • Understanding Amazon DynamoDB
  • Inserting Data in DynamoDB

Module 6: Introduction to DevOps

  • What is DevOps?
  • Why DevOps
  • DevOps Tools
  • DevOps on Cloud
  • DevOps with AWS

Module 7: AWS Management Tools

  • Elastic Load Balancing
  • Auto Scaling

Module 8: Amazon Virtual Private Cloud

  • Introduction
  • Subnets
  • VPC CIDR Blocks
  • Internet Gateways and Route Tables
  • Security Groups and Network Access Control Lists

Module 9: Implement Metrics, Alarms, and Filters by Using AWS Monitoring

  • Identify, Collect, Analyse, and Export Logs
  • CloudWatch Alarms
  • Create CloudWatch Dashboard

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Who should attend this AWS Professional DevOps Engineer Training?

This AWS Professional DevOps Engineer Course is suitable for individuals who aim to enhance their expertise in the field of DevOps Engineering using Amazon Web Services (AWS). This course can be beneficial to various professionals, including:

  • Systems Administrators
  • Technical Support Personnel
  • Software Developers
  • Cloud Architects
  • Solution Architects
  • Operations Professionals
  • Technical Managers

Prerequisites of the AWS Professional DevOps Engineer Training

There are no formal prerequisites for attending this AWS Professional DevOps Engineering Course. However, delegates who have had 2 or more years of experience working with AWS and those with a foundational understanding of IT can benefit from attending this course.

AWS Professional DevOps Engineer Training Course Overview

An AWS DevOps Engineer is critical in an organisation, handling tasks encompassing engineering, coding, operations, and cost-effectiveness. Their primary responsibility is to support continuous delivery and integration processes, utilising data analysis to enhance current practices. In this training, delegates learn how to efficiently build and deliver products using AWS and DevOps practices in their businesses.

Additionally, delegates will explore Amazon DynamoDB, a powerful tool for creating flexible database tables capable of storing and retrieving vast amounts of data. Our expert trainers will empower delegates with the essential skills to excel in high-profile careers in development and DevOps Engineering.

In this 2-Day AWS Professional DevOps Engineer Training by The Knowledge Academy delegates will gain expertise in minimising software failures and reducing the time required to implement fixes. This training covers using AWS Code Pipeline to automate release pipelines, ensuring swift and dependable updates to applications and infrastructure. Those with strong DevOps Engineering expertise can secure high-paying positions in multinational corporations.

Course Objectives

  • To teach delegates to recover objects from accidental deletion or overwriting
  • To manage the data traffic of tables over multiple servers
  • To plan the basic project approach and conduct product feasibility studies
  • To compile code and store the artefacts in an Amazon S3 bucket
  • To automate the operational and configuration tasks for distributed apps
  • To create stacks that help manage cloud resources in specialised groups

Use completion of this AWS Certification Course, delegates will be able to continuously build and test projects by making it easy to integrate changing codes into Jenkins. They will also be able to save dashboards to their favourite list and create multiple dashboards.

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What’s included in this AWS Professional DevOps Engineer Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Professional DevOps Engineer Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Billing and Cost Management Training Course Outline

Module 1: Introduction to AWS Billing and Cost Management

  • Overview of AWS Services
  • Introduction to AWS Billing and Cost Management
  • AWS Cost Allocation and Reporting

Module 2: Managing your Account and Viewing your Bill

  • Managing an AWS account
  • Viewing your Monthly Charges

Module 3: AWS Free Tier and AWS Price List API

  • Introduction to AWS Free Tier and AWS Price List API
  • Techniques for Optimising AWS Free Tier Usage
  • Types of Pricing Models in AWS Price List API

Module 4: Viewing your Customer Carbon Footprint Tool

  • Understanding your Customer Carbon Footprint Tool Overview
  • Understanding your Carbon Emission Estimations

Module 5: AWS Budgets Reports and Cost Anomaly Detection

  • Budget Reports
  • Types of Reports
  • Creating and Editing an AWS Budgets Report
  • Copying and Deleting an AWS Budgets Report

Module 6: Rightsizing Recommendations and Security

  • Understanding your Reservations with Cost Explorer
  • RI Recommendations
  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security

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Who should attend this AWS Billing and Cost Management Training Course?

The AWS Billing and Cost Management Training Course is designed for individuals willing to understand how to effectively manage costs and optimise expenses within the Amazon Web Services (AWS) cloud platform. This course is beneficial for various professionals including:

  • Cloud Administrators
  • Cloud Architects
  • IT Managers
  • Business Decision Makers
  • Cloud Consultants
  • DevOps Engineers
  • Cloud Project Managers

Prerequisites for the AWS Billing and Cost Management Training Course

In this AWS Billing and Cost Management Training Course, there are no formal prerequisites. However, having a basic understanding of cloud billing models and cost management principles will be more beneficial for delegates.

AWS Billing and Cost Management Training Course Overview

AWS Billing and Cost Management is a crucial aspect of cloud computing, which enables organisations to optimise costs, monitor expenses, and effectively manage their AWS accounts. It ensures financial efficiency, cost optimisation, and resource allocation, enabling organisations to make informed decisions and maintain cost-effective cloud operations.

This training equips learners with the knowledge to effectively track expenses, analyse cost trends, and provide valuable insights to optimise cloud resources, making them valuable assets to their organisations. This training is beneficial for organisations to control AWS expenditure, implement cost-saving strategies, and establish budget controls, leading to improved financial management and optimised cloud investments. Pursuing this training helps individuals get equipped with the necessary skills and techniques to enhance their career opportunities and ultimately increase their earnings.

This 1-day AWS Billing and Cost Management Training Course provides delegates with essential skills and techniques to understand the various tools, features, and best practices for effectively managing AWS expenses. During this training, they will learn about cost allocation, invoice viewing, payments and purchase orders, AWS free tier, budgets, cost anomaly detection, and rightsizing recommendations. This course will be taught by our expert trainer, who has years of experience teaching AWS courses.

Course Objectives

  • To manage AWS payments and implement purchase order configurations effectively
  • To utilise AWS free tier and AWS price list API for cost tracking and budget management
  • To create budgets, set cost anomaly detection, and implement access controls.
  • To understand the components and functionalities of AWS Billing and Cost Management
  • To learn various cost allocation and reporting techniques within AWS

After attending this training, delegates will be able to efficiently manage their AWS billing and cost-related activities. They will also be able to use the AWS price list API for better cost tracking and implement anomaly detection to avoid unexpected charges.

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What’s included in this AWS Billing and Cost Management Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Billing and Cost Management Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Storage Services Training Course Outline

Module 1: Introduction to AWS Storage Services

  • Overview of Cloud Storage Concepts
  • Understanding AWS Storage Service Offerings
  • Comparing Block, File, and Object Storage

Module 2: Amazon S3 (Simple Storage Service)

  • Introduction to Amazon S3
  • S3 Bucket Creation and Management
  • Data Replication and Cross-Region Replication
  • Managing your Storage Lifecycle

Module 3: Amazon EBS (Elastic Block Store)

  • EBS Volumes and Snapshots
  • Amazon Data Lifecycle Manager
  • EBS Data Services
  • EBS Volumes and NVMe
  • EBS Optimisation and Performance
  • EBS CloudWatch Metrics
  • EBS EventBridge Events and EBS Quotas

Module 4: Amazon EFS (Elastic File System)

  • Introduction
  • Working with EFS Resources
  • Mounting File Systems
  • Transferring Data
  • Managing File Systems
  • Monitoring EFS

Module 5: AWS Storage Gateway

  • Introduction
  • Key Features
  • Gateway Types
  • Deployment Option

Module 6: Amazon Glacier

  • What is Amazon Glacier?
  • Data Model
  • Supported Operations
  • Accessing S3 Glacier

Module 7: Amazon RDS (Relational Database Service) Storage Options

  • Introduction
  • Configuring a DB Instance
  • Managing a DB Instance
  • Configuring and Managing a Multi-AZ Deployment
  • Using Blue/Green Deployments for Database Updates
  • Backing Up and Restoring
  • Monitoring Metrics in a DB

Module 8: Amazon DynamoDB

  • How it works?
  • From SQL to NoSQL
  • Additional resources for Amazon DynamoDB

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Who should attend this AWS Storage Services Training Course?

The AWS Storage Services Training Course is designed for individuals across various roles who want to understand and effectively utilise the storage services offered by Amazon Web Services (AWS). This course is beneficial for various professionals including:

  • Cloud Architects
  • DevOps Engineers
  • Data Engineers
  • Database Administrators
  • Application Developers
  • Backup and Recovery Specialists
  • Enterprise Architects

Prerequisites for the AWS Storage Services Training Course

In this AWS Storage Services Training Course, there are no formal prerequisites. However, having a basic understanding of cloud computing concepts and general AWS services will be more beneficial for delegates.

AWS Storage Services Training Course Overview

AWS Storage Services are a fundamental pillar of cloud computing, offering a versatile and scalable solution for storing, accessing, and managing data in the cloud. As organisations increasingly transition their operations to the cloud, a solid grasp of AWS Storage Services becomes paramount. This training proves beneficial for organisations to make informed decisions to efficiently organise, replicate, and manage data, leading to improved resource allocation and reduced expenses. This training equips learners with knowledge of a diverse range of cloud storage solutions, positioning them as highly skilled professionals in cloud computing. Pursuing this training helps individuals get equipped with the necessary skills and techniques to enhance their career opportunities and ultimately increase their earnings.

This 1-day AWS Storage Services Training Course provides delegates with essential skills and techniques to understand the various storage offerings provided by Amazon Web Services. During this training, they will learn about AWS services such as Amazon S3, EBS, EFS, Storage Gateway, Amazon Glacier, Amazon RDS, and Amazon DynamoDB. This course will be taught by our expert trainers, who have years of experience teaching these courses.

Course Objectives

  • To create and manage Amazon S3 buckets and objects effectively.
  • To leverage Amazon EBS volumes and snapshots for data management.
  • To work with Amazon DynamoDB for NoSQL database storage and performance optimization.
  • To implement Elastic File System (EFS) for scalable and shared file storage.
  • To deploy and manage AWS Storage Gateway to integrate on-premises and cloud storage.

After attending this training course, delegates will be able to design and implement robust, scalable, and cost-effective storage solutions using AWS Storage Services. They will also be able to effectively manage data storage, replication, and lifecycle, ensuring data security, accessibility, and compliance.

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What’s included in this AWS Storage Services Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Storage Services Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Developing .NET Application on AWS Training Course Outline

Module 1: Introduction

  • Working with .NET

Module 2: Running .NET Applications in the AWS Cloud

  • Choosing a Host Operating System
  • Building Monoliths or Microservices
  • Migrating and Rehosting .NET Applications
    • AWS Elastic Beanstalk
    • Amazon Elastic Compute Cloud (EC2) Instances
    • AWS Systems Manager
  •  Modernising and Re-platforming .NET Applications
    • Running Applications in Containers
    • Creating Serverless Applications with AWS Lambda
  • Storage Solutions for .NET Applications on AWS
  • Artificial Intelligence and Machine Learning with .NET

Module 3: Developing .NET Applications

  • AWS .NET SDKs
  • AWS Toolkit for Visual Studio
  • AWS Toolkit for Visual Studio Code
  • AWS Toolkit for Rider
  • AWS Tools for PowerShell

Module 4: Continuous Integration and Continuous Delivery

  • Infrastructure as Code
  • Using AWS Developer Tools
  • Seamless Integration with Azure DevOps

Module 5: Security and Operations

  • Monitoring
    • Amazon CloudWatch
    • Amazon CloudWatch Application Insights for .NET and SQL Server
    • Auditability and Change Tracking
    • AWS X-Ray
    • Additional AWS Service Logs

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Who should attend this Developing .NET Application on AWS Training Course?

The Developing .NET Applications on AWS Training Course is designed for individuals who want to learn how to develop .NET applications and deploy them on the AWS cloud platform. This course is beneficial for various professionals including:

  • .NET Developers
  • Cloud Application Developers
  • Solution Architects
  • DevOps Engineers
  • Full-Stack Developers
  • Software Engineers
  • Application Managers
  • Microservices Developers

Prerequisites for the Developing .NET Application on AWS Training Course

There are no formal prerequisites for attending this Developing .NET Application on AWS Training Course. However, a basic understanding of the .NET framework, familiarity with cloud computing concepts, and general knowledge of AWS services will be beneficial for delegates.

Developing .NET Application on AWS Training Course Overview

Developing .NET Applications on AWS involves creating and building software solutions using the .NET framework and deploying them on the Amazon Web Services (AWS) cloud platform. AWS, being a leading cloud service provider, offers a robust and scalable environment for developing .NET applications. This training enhances individuals’ skillset, making them adaptable to the evolving cloud landscape and boosting their employability.

This training enables organisations to efficiently build and deploy .NET applications on AWS, reducing time-to-market for products and services. Moreover, mastering the art of Developing .NET Applications on AWS opens up numerous opportunities for career growth.

The Knowledge Academy’s 1-day Developing .NET Application on AWS Training Course provides delegates with comprehensive skills and knowledge to master the art of Developing .NET Applications on AWS. During this training, they will learn about AWS services and how to leverage them effectively to build, deploy, and manage .NET applications in the cloud and many more. This course will be led by our highly skilled and knowledgeable trainer, who has years of experience in teaching and will help delegates get a complete understanding of this course.

Course Objectives

  • To develop serverless applications using AWS Lambda
  • To explore re-platforming strategies for existing .NET applications
  • To effectively build, deploy, and manage .NET applications on AWS
  • To learn how to optimise storage solutions for .NET applications on AWS
  • To understand AI and machine learning integration with .NET applications
  • To familiarise with AWS SDKs and toolkits for seamless development

After attending this training, delegates will be able to confidently develop, deploy, and manage .NET applications on the Amazon Web Services (AWS) cloud platform. They will also be able to leverage AWS SDKs, toolkits for Visual Studio and Visual Studio Code, Rider, and PowerShell to streamline development processes.

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What’s included in this Developing .NET Application on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Developing .NET Application on AWS Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon AWS Keyspaces Training Course Outline

Module 1: Introduction to Amazon Keyspaces

  • What is Amazon Keyspaces?
  • How Amazon Keyspaces Works?
  • What is Cassandra Query Language (CQL)?
  • Amazon Keyspaces Vs. Apache Cassandra

Module 2: Accessing Amazon Keyspaces

  • Signing up for AWS
  • Setting up AWS Identity and Access Management
  • Accessing Amazon Keyspaces
    • Using the Console
    • Connecting Programmatically
    • Configuring Cross-Account Access

Module 3: Migrating to Amazon Keyspaces

  • Loading Data Using cqlsh
  • Loading Data Using DSBulk
  • Amazon Keyspaces Using AWS SDKs
    • Create and Delete a Keyspace
    • Create and Delete a Table
    • Get Data About a Keyspace and Table
    • List Keyspaces and Tables
    • Restore a Table to a Point in Time
    • Update a Table

Module 4: Working with Amazon Keyspaces

  • Working with Keyspaces
  • Working with Tables
  • Working with Rows
  • Working with Queries
  • Working with Partitioners

Module 5: Designing and Architecting with Amazon Keyspaces

  • NoSQL Design for Amazon Keyspaces
  • Data Modelling
  • Cost Optimisation

Module 6: NoSQL Workbench

  • Data Modeler
  • Data Visualiser
  • Committing a Data Model

Module 7: Tagging Resources and Security

  • Tagging Restrictions
  • Tagging Operations
  • Cost Allocation Reports
  • Data Protection
  • AWS Identity and Access Management
  • Logging and Monitoring

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Who should attend this Amazon AWS Keyspaces Training Course?

The Amazon AWS Keyspaces Training Course is designed for individuals who want to understand and effectively utilise Amazon Keyspaces (A fully managed NoSQL database service compatible with Apache Cassandra). This course is beneficial for various professionals including:

  • Database Administrators
  • Database Developers
  • Cloud Architects
  • DevOps Engineers
  • Database Analysts
  • Application Developers
  • Data Engineers

Prerequisites for the Amazon AWS Keyspaces Training Course

There are no formal prerequisites for attending this Amazon AWS Keyspaces Training Course, but having a basic understanding of database architectures and AWS services will be beneficial for the delegates.

Amazon AWS Keyspaces Training Course Overview

Amazon AWS Keyspaces is a fully managed, serverless, and scalable NoSQL database service built on Apache Cassandra. It enables businesses to seamlessly store, retrieve, and manage large volumes of data with high availability and low latency. This training provides learners with expertise in working with a powerful NoSQL database service, enhancing their skills and knowledge in cloud-based data management. This training helps organisations equip their teams with the capabilities to efficiently utilise Amazon AWS Keyspaces, leading to improved data management practices and enhanced operational efficiency. Furthermore, individuals attending this training can experience career growth and increased job opportunities in the cloud computing and data management domains.

The Knowledge Academy’s 1-day Amazon AWS Keyspaces Training Course provides delegates with knowledge about how to effectively work with the managed NoSQL database service provided by Amazon Web Services. During this training, they will learn about Amazon Keyspaces, including its architecture, how it works, and the differences from Apache Cassandra. They will also learn about NoSQL design principles, cost optimisation techniques, and security considerations for deploying robust and scalable applications in the cloud. This course will be led by our highly skilled and knowledgeable trainer, who has years of experience in teaching AWS Training courses and will help delegates get a complete understanding of AWS Keyspaces.

Course Objectives

  • To understand the core features and architecture of Amazon Keyspaces
  • To access Amazon Keyspaces using the console and programmatically
  • To migrate data to Amazon Keyspaces using cqlsh, DSBulk, and AWS SDKs
  • To work with keyspaces, tables, rows, and queries in Amazon Keyspaces
  • To design and architect scalable NoSQL solutions using Amazon Keyspaces
  • To learn how to use the NoSQL workbench for data modeling and visualisation
  • To apply tagging, security, and data protection measures in Amazon Keyspaces

After attending this training, delegates will be able to confidently work with Amazon Keyspaces, understanding its architecture, data modeling, and querying capabilities. They will also be able to design and architect scalable NoSQL solutions, apply security measures, and utilise the NoSQL Workbench for efficient data modeling.

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What’s included in this Amazon AWS Keyspaces Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon AWS Keyspaces Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS CloudTrail Training Course Outline

Module 1: Introduction to AWS CloudTrail

  • What is AWS CloudTrail?
  • How CloudTrail Works
  • CloudTrail Workflow and Concepts
  • CloudTrail Supported Regions

Module 2: Working with CloudTrail

  • Viewing Events with CloudTrail Event History
  • Viewing CloudTrail Insights Events
  • Creating a Trail for your AWS Account
  • Creating a Trail for an Organisation
  • Copying Trail Events to CloudTrail Lake
  • Getting and Viewing your CloudTrail Log Files
  • Configuring Amazon SNS Notifications for CloudTrail
  • Controlling User Permissions for CloudTrail
  • Tips for Managing Trails
  • Using AWS CloudTrail with Interface VPC Endpoints
  • Viewing Service-Linked Channels by Using the AWS CLI

Module 3: Working with CloudTrail Lake

  • CloudTrail Lake Supported Regions
  • Create an Event Data Store
  • Manage Event Data Store Lifecycles
  • Copy Trail Events to an Event Data Store
  • Create an Integration with an Event Source Outside of AWS
  • View Lake Dashboards
  • Create or Edit a Query
  • Learning Resources
  • Managing CloudTrail Lake by Using the AWS CLI
  • CloudTrail Lake SQL Constraints
  • Supported CloudWatch Metrics

Module 4: CloudTrail log files

  • Monitoring CloudTrail log Files with Amazon CloudWatch Logs
  • Receiving CloudTrail log Files from Multiple Accounts
  • Sharing CloudTrail Log Files Between AWS Accounts
  • Validating CloudTrail Log File Integrity
  • Using the CloudTrail Processing Library

Module 5: Setting and Security

  • Organisation Delegated Administrator
  • Data Protection
  • Encrypting CloudTrail log Files with AWS KMS Keys (SSE-KMS)

Module 6: Log event reference

  • CloudTrail Record Contents
  • Non-API Events Captured by CloudTrail

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Who should attend this AWS CloudTrail Training Course?

The AWS CloudTrail Training Course is designed for individuals who want to learn how to monitor and audit their AWS resources and activities using AWS CloudTrail. This course is beneficial for various professionals including:

  • Cloud Administrators
  • Security Engineers
  • Compliance Officers
  • Auditors
  • System Administrators
  • DevOps Engineers
  • Security Analysts

Prerequisites for the AWS CloudTrail Training Course

There are no formal prerequisites for this AWS CloudTrail Training Course. However, having a basic understanding of cloud computing concepts and familiarity with Amazon Web Services (AWS) fundamentals will be more beneficial for delegates.

AWS CloudTrail Training Course Overview

AWS CloudTrail is a powerful service that enables organisations to monitor and track user activity and API usage across their AWS accounts and resources. It ensures transparency and accountability, enabling organisations to meet regulatory requirements and swiftly identify and respond to security incidents.

This training helps organisations strengthen their security measures by tracking and analysing user activities, thus enhancing their overall compliance posture. This training equips learners with advanced cloud security and auditing skills, making them adept at monitoring and tracking user activity and API usage within AWS environments. Pursuing this training helps individuals get equipped with the necessary skills and techniques to enhance their career opportunities and ultimately increase their earnings.

This 1-day AWS CloudTrail Training Course provides delegates with essential skills and techniques utilise AWS CloudTrail to monitor and track user activity and API usage across their AWS accounts and resources. During this training, they will learn about how to create and manage trails, viewing and analysing CloudTrail log files, and leveraging CloudTrail Lake for efficient event data storage and analysis. This course will be taught by our expert trainer, who has years of experience teaching Amazon AWS Training courses.

Course Objective

  • To comprehend the concept of AWS CloudTrail and its significance in cloud security and governance
  • To learn how to create, configure, and manage trails to track AWS account activity effectively
  • To explore the capabilities of CloudTrail Lake for storing and analysing event data in AWS environments
  • To implement data protection measures, including encrypting CloudTrail log files with AWS KMS keys
  • To understand the various log event references captured by CloudTrail, including non-API events

After attending this training, delegates will be able to design and implement robust monitoring and auditing solutions using AWS CloudTrail in their AWS environments. They will also be able to create and manage trails, analyse log files, and utilise CloudTrail Lake for efficient event data storage and analysis.

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What’s included in this AWS CloudTrail Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS CloudTrail Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Security Hub Training Course Outline

Module 1: Introduction to AWS Security Hub

  • Benefits of Security Hub
  • How Security Hub works?
  • Working with AWS SDKs

Module 2: Setting Up AWS Security Hub

  • Enabling Security Hub Manually
  • Attaching the Required IAM Policy to the IAM Identity
  • Enabling Security Hub
    • Console
    • Security Hub API, AWS CLI
    • Multi-Account Script

Module 3: Managing Accounts

  • Effects of an Administrator-Member Relationship
  • Restrictions and Recommendations
  • Making the Transition to Organisations
  • Allowed Actions for Accounts
  • Designating a Security Hub Administrator Account
  • Managing Organisation Member Accounts
  • Managing Member Accounts by Invitation
  • Effect of Account Actions on Security Hub Data

Module 4: Cross-Region Aggregation

  • How Cross-Region Aggregation Works?
  • Viewing the Current Configuration
  • Enabling Cross-Region Aggregation
  • Updating the Configuration
  • Stopping Cross-Region Aggregation

Module 5: Findings and Insights

  • Findings in AWS Security Hub
    • Creating and Updating Findings
    • Viewing a Cross-Region Finding Summary
    • Viewing Finding Lists and Details
    • Taking Action on Findings
    • Finding Format
  • Insights in AWS Security Hub
    • Viewing and Filtering the List of Insights
    • Viewing Insight Results and Findings
    • Managed Insights
    • Custom Insights

Module 6: Automation and Product Integrations

  • Automation Rules
  • Automated Response and Remediation
  • Managing Product Integrations
  • AWS Service Integrations
  • Third-Party Product Integrations
  • Using Custom Product Integrations

Module 7: Standards and Controls

  • IAM Permissions
  • Running Security Checks
  • Standards Reference
  • Viewing and Managing Security Standards
  • Controls Reference
  • Viewing and Managing Security Controls
  • Creating Resources with CloudFormation
  • Subscribing to Security Hub Announcements

Module 8: Security

  • Data Protection
  • AWS Identity and Access Management
  • Using Service-Linked Roles
  • AWS Managed Policies
  • Compliance Validation
  • Infrastructure Security
  • VPC Endpoints (AWS PrivateLink)

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Who should attend this AWS Security Hub Training Course?

The AWS Security Hub Training Course is designed for individuals willing to learn how to manage security alerts, findings, and compliance checks across their AWS accounts using AWS Security Hub. This course is beneficial for various professionals including:

  • Security Engineers
  • Security Analysts
  • Compliance Officers
  • Cloud Administrators
  • Incident Responders
  • IT Risk Managers
  • Security Operations Center (SOC) Analysts

Prerequisites for the AWS Security Hub Training Course

There are no formal prerequisites for attending this AWS Security Hub Training Course but having a basic understanding of Amazon Web Services (AWS) and cloud computing will be beneficial.

AWS Security Hub Training Course Overview

AWS Security Hub is a powerful security service offered by Amazon Web Services (AWS) that provides a comprehensive view of your organisation's security posture. It helps you identify potential security threats, prioritise and manage security findings, and streamline your security operations. Studying this training helps individuals learn how to navigate security findings, configure automation rules, and integrate various AWS services to enhance security.

This training helps organisations to establish a robust security infrastructure, proactively respond to threats, and maintain compliance with industry standards. Additionally, pursuing this training helps individuals open doors to exciting career opportunities to work as skilled AWS Security Experts in multinational enterprises.

The Knowledge Academy’s 1-day AWS Security Hub Training Course provides delegates with knowledge about how to effectively enable, configure, and manage AWS Security Hub for their organisation's cloud security needs. During this training, they will learn cross-region aggregation, automation, and product integrations to proactively detect and respond to security threats. They will also learn about AWS Identity and Access Management (IAM) for data protection and compliance validation, ensuring a robust security posture. This course will be led by our highly skilled and knowledgeable trainer, who has years of experience in teaching and will help delegates get a complete understanding of AWS Security Hub.

Course Objectives

  • To understand the benefits and working principles of the AWS Security Hub
  • To configure cross-region aggregation for comprehensive security monitoring
  • To attain knowledge about the process of setting up the AWS Security Hub
  • To understand how to identify and take action on security findings and insights
  • To learn how to manage accounts effectively within the AWS Security Hub
  • To become familiar with automating responses and integrating with AWS services

After attending this training course, delegates will be able to identify and prioritise security findings, taking swift action to mitigate potential threats. They will also be able to create and manage automation rules for streamlined incident response and remediation.

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What’s included in this AWS Security Hub Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Security Hub Training Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Business Training Course Outline

Module 1: Getting Started with the Cloud

  • What is Cloud Computing?
  • Why do Organisations Leverage Cloud Computing Services?
  • Who is Using Cloud Computing Services?

Module 2: Leveraging AWS for Competitive Advantage

  • Cloud Computing Framework
  • Solutions to Big Data
  • Mobile
  • Disaster Recovery (DR)

Module 3: Cloud Economics

  • AWS Pricing Principles
  • Simple Monthly Calculator
  • Total Cost of Ownership
  • Cost Optimisation

Module 4: Security and Compliance

  • Overview of Cloud Security
  • Security of the Cloud
  • Cloud Encryption and Key Management

Module 5: Migrating to the Cloud

  • Four Steps of Cloud Success
    • Explore
    • Experiment
    • Engage
    • Enable

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Who should attend this AWS Business Training Course?

The AWS Business Training Course is designed for individuals who want to understand how to leverage AWS to drive business outcomes and make informed decisions about cloud solutions. This course is beneficial for various professionals including:

  • Technical Project Managers
  • Product Managers
  • IT Consultants
  • Financial Analysts
  • Business Analysts
  • IT Strategists
  • Operations Managers

Prerequisites for the AWS Business Training Course

There are no formal prerequisites for attending this AWS Business Training Course.

AWS Business Training Course Overview

The WS Business Training Course equips delegates with practical skills and advanced strategies essential for succeeding in today’s competitive business landscape. This course enhances decision-making capabilities, improves operational efficiency, and fosters innovative thinking, enabling professionals to drive organisational growth and career advancement effectively.

This course is designed for professionals at all levels seeking to refine their business acumen and excel in their roles. Whether you’re a manager, entrepreneur, or team leader, this training equips you with tools to stay ahead in your profession and achieve long-term success.

This 1 Day course provided by The Knowledge Academy offers a comprehensive learning experience that bridges the gap between theoretical knowledge and real-world application. By addressing contemporary business challenges, it empowers delegates to deliver measurable results and enhance organisational performance, making it a valuable investment for career progression.

Course Objectives

  • To learn about the useful steps of successful cloud migration
  • To understand the principles and concepts of cloud computing
  • To evaluate the Total Cost of Ownership (TCO) in cloud computing
  • To explore the advantages of cloud computing services in organisations
  • To analyse AWS pricing principles and apply cost optimisation techniques
  • To comprehend the importance of security and compliance in the cloud

After attending this training, delegates will be able to leverage cloud computing services for gaining competitive advantages in their business domains. They will also be able to Implement robust security measures and ensure compliance in cloud environments.

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What’s included in this AWS Business Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Business Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon FBA Course for Entrepreneurs Course Outline

Module 1: Introduction to Amazon FBA

  • Understanding the Basics of Amazon FBA
  • Benefits of Selling through Amazon FBA
  • Setting up Amazon Seller Account
  • Navigating the Amazon Seller Central Dashboard

Module 2: Market Research and Product Selection

  • Identifying Profitable Niches and Markets
  • Conducting Product Research using Amazon Tools
  • Analysing Competition and Assessing Demand
  • Selecting the Right Products for your Business

Module 3: Sourcing and Inventory Management

  • Finding Reliable Suppliers and Manufacturers
  • Negotiating with Suppliers for Competitive Pricing
  • Managing Inventory and Avoiding Stockouts
  • Quality Control and Product Inspections

Module 4: Creating an Effective Amazon Listing

  • Writing Compelling Product Titles and Descriptions
  • Optimising Product Images for Conversions
  • Keyword Research and Incorporating Keywords
  • Pricing Strategies for Competitive Advantage

Module 5: Fulfillment and Shipping

  • Understanding the FBA Shipment Process
  • Preparing and Labeling Products for FBA
  • Creating Shipping Plans and Managing Shipments
  • Tracking and Monitoring Inventory in Amazon's Warehouses

Module 6: Amazon PPC Advertising

  • Introduction to Amazon Pay-Per-Click (PPC)
  • Setting up Effective PPC Campaigns
  • Keyword Targeting and Bidding Strategies
  • Analysing and Optimising PPC Performance

Module 7: Customer Service and Feedback Management

  • Providing Exceptional Customer Service on Amazon
  • Managing Product Reviews and Feedback
  • Handling Returns and Resolving Customer Issues
  • Building a Brand Reputation through Customer Satisfaction

Module 8: Scaling Your Amazon FBA Business

  • Scaling Strategies for Increased Sales
  • Expanding Product Lines and Diversifying
  • Outsourcing Tasks and Automating Processes
  • Long-Term Growth and Exit Strategies

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Who should attend this Amazon FBA Course for Entrepreneurs Training Course?

This Training Course is designed for anyone who wants to enhance their Amazon FBA Businesses. However, this training will be beneficial for:

  • Entrepreneurs
  • Business Owners
  • Existing Amazon Sellers
  • E-commerce Managers
  • Marketing and Sales Professionals
  • Supply Chain and Logistics Managers
  • Product Managers

Prerequisites for Amazon FBA Course for Entrepreneurs Training Course

There are no formal prerequisites for attending this Amazon FBA training course.

Amazon FBA Course for Entrepreneurs Course Overview

Amazon FBA (Fulfillment by Amazon) is a service where Amazon stores and ships products for third-party sellers. It is useful for individuals and businesses in e-commerce, as it handles the heavy lifting of orders, storage, and shipping. Using Amazon FBA also allows for easier scaling of your business, enabling you to grow without worrying about logistics. It is an excellent opportunity for those looking to establish a successful online business and gain valuable experience in the rapidly growing field of e-commerce. Managing an Amazon FBA business is a great way to build skills like product sourcing, marketing, and customer service, useful for a career in e-commerce.

The Knowledge Academy’s 1-day Amazon FBA Course for Entrepreneurs Training provides delegates with an opportunity to develop a strong foundation in Amazon FBA. Delegates will engage in writing compelling product titles and descriptions. This training will be conducted by our highly professional and skilled trainer, who has experience in delivering training courses.

Course Objectives

  • To equip participants with the knowledge to launch successful Amazon FBA businesses
  • To provide insights into effective product research and selection strategies
  • To understand how to optimise Amazon listings for higher conversions.
  • To guide learners in mastering Amazon PPC advertising techniques
  • To familiarise participants with international expansion opportunities through FBA
  • To empower entrepreneurs to efficiently manage inventory and logistics

After attending this Amazon FBA Course for Entrepreneurs course, delegates will be able to launch and manage successful Amazon FBA businesses, leveraging the platform's advantages.

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What’s included in this Amazon FBA Course for Entrepreneurs Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon FBA Course for Entrepreneurs Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS AI Practitioner Training Course Outline

Domain 1: Fundamentals of AI And ML

  • Explain Basic AI Concepts and Terminologies
  • Identify Practical Use Cases For AI
  • Describe the ML Development Lifecycle

Domain 2: Fundamentals of Generative AI

  • Explain the Basic Concepts of Generative AI
  • Capabilities and Limitations of Generative AI for Solving Business Problems
  • AWS Infrastructure and Technologies for Building Generative AI Applications

Domain 3: Applications of Foundation Models

  • Describe Design Considerations for Applications That Use Foundation Models
  • Choose Effective Prompt Engineering Techniques
  • Describe the Training and Fine-Tuning Process for Foundation Models
  • Describe Methods to Evaluate Foundation Model Performance

Domain 4: Guidelines for Responsible AI

  • Explain the Development of AI Systems That Are Responsible
  • Recognise the Importance of Transparent and Explainable Models

Domain 5: Security, Compliance, And Governance for AI Solutions

  • Explain Methods to Secure AI Systems
  • Recognise Governance and Compliance Regulations for AI Systems

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Who should attend this AWS AI Practitioner Course?

This AWS AI Practitioner Training Course is ideal for individuals eager to deepen their understanding and expertise in artificial intelligence technologies and their applications within the AWS Certification Ecosystem. It is particularly beneficial for:

  • AI and ML Developers 
  • Data Scientists 
  • Cloud Solutions Architects 
  • IT Managers and Directors 
  • Software Engineers 
  • Business Analysts
  • IT Professionals
  • Technology Consultants

Prerequisites of AWS AI Practitioner Course

There are no formal prerequisites to attend this AWS AI Practitioner Course.

AWS AI Practitioner Training Course Overview

AWS, or Amazon Web Services, is a comprehensive and widely adopted cloud platform, offering over 200 fully featured services from data centres globally. Its importance stems from its ability to provide scalable and efficient solutions that power a variety of applications and systems across many industries.

For organisations, this AWS Certification enhances the ability to innovate with AI technologies, leveraging AWS's robust and secure infrastructure. For individuals, it offers crucial skills development in AI and ML, making them valuable assets in tech-driven workplaces. Ultimately, delegates who complete this training position themselves for advanced career opportunities in the rapidly evolving field of artificial intelligence.

In this AWS AI Practitioner Training Course part of AWS Certification Suite, delegates will dive deep into the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML), exploring the latest technologies and methodologies used in AI development on the AWS platform. The training covers a broad range of topics, from basic AI concepts to advanced applications using generative and foundation models, ensuring a comprehensive understanding of the subject matter.

Course Objectives

  • To explain basic AI concepts and terminologies
  • To identify practical use cases for AI
  • To describe the ML development lifecycle
  • To explore generative AI capabilities and limitations
  • To apply AWS technologies in AI projects
  • To understand prompt engineering techniques
  • To develop responsible AI systems

After attending this AWS Certification, delegates will be equipped with the skills to effectively design, develop, and deploy AI solutions using AWS technologies. They will be able to navigate the complexities of AI systems, from conceptualisation to implementation, ensuring these systems are both effective and ethically responsible.

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What’s included in this AWS AI Practitioner Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS AI Practitioner Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

AWS Associate Developer Training Course Outline

Module 1: Introduction to AWS and the Developer Associate Certification

  • Understanding AWS Cloud and its benefits
  • Shared Responsibility Model in AWS
  • Overview of the AWS Certified Developer – Associate exam
  • Exam objectives, question types, and passing criteria
  • AWS services covered in the exam
  • Handson: Setting up an AWS Free Tier account

Module 2: Development with AWS Services

  • Developing Code for Applications Hosted on AWS
  • Developing Code for AWS Lambda
  • Using Data Stores in Application Development

Module 3: Security

  • Implementing Authentication and Authorization
  • Implementing Encryption in AWS
  • Managing Sensitive Data in Application Code

Module 4: Deployment

  • Section 1: Preparing Application Artifacts for Deployment
  • Section 2: Testing Applications in Development Environments
  • Section 3: Automating Deployment Testing
  • Section 4: Deploying Code Using AWS CI/CD Services

Module 5: Troubleshooting and Optimization

  • Section 1: Performing Root Cause Analysis
  • Section 2: Instrumenting Code for Observability
  • Section 3: Optimizing Applications Using AWS Services

Module 6: Exam Preparation and Practice

  • Section 1: Review of Key Concepts
  • Section 2: Practice Exams and Quizzes
  • Section 3: Study Tips and Exam Strategies

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Who should attend this AWS Associate Developer Training Course?

This AWS Associate Developer Training Course is ideal for individuals looking to deepen their expertise in cloud application development using AWS services. It is particularly beneficial for:

  • Software Developers
  • Application Developers
  • Cloud Application Engineers
  • System Administrators
  • IT Managers
  • DevOps Engineers
  • Cloud Technology Consultants

Prerequisites of AWS Associate Developer Training Course

There are no formal prerequisites to attend this AWS Associate Developer Training Course.

AWS Associate Developer Training Course Overview

Amazon Web Services (AWS) is a leading cloud computing platform that offers a vast array of scalable, flexible, and cost-effective services. Its importance cannot be overstated, as it enables businesses to build and deploy scalable applications without the need for upfront hardware investments, thus accelerating innovation.

For organisations, this AWS Certified Developer Training equips their development teams with the necessary skills to efficiently create, deploy, and manage applications on AWS, enhancing their ability to leverage cloud technologies for business growth. For individuals, the training provides deep insights into AWS development best practices and the latest AWS features, enhancing their technical capabilities and making them more effective in their roles.

In this 3 Day AWS Associate Developer Training Course provided by The Knowledge Academy, delegates will delve into the practical aspects of developing and managing applications using AWS services. The course covers the full spectrum of AWS development, including the use of AWS Lambda, data store integration, authentication and encryption, and the deployment of applications through AWS CI/CD pipelines. Emphasis is placed on writing code that is both secure and optimised for the cloud environment.

Course Objectives

  • To develop code for serverless applications using AWS Lambda.
  • To implement secure access controls for applications on AWS.
  • To manage sensitive data effectively within application code.
  • To prepare and deploy applications using AWS CI/CD tools.
  • To troubleshoot common issues in AWS applications.
  • To optimise application performance using AWS services.

After attending this training, delegates will be equipped to handle the end-to-end development process for applications on AWS. They will have the skills to write, secure, test, and deploy applications efficiently using a range of AWS services and best practices. This comprehensive knowledge will enable them to enhance the scalability, reliability, and security of their projects, thus improving their effectiveness and productivity in a professional setting.

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What’s included in this AWS Associate Developer Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Associate Developer Training Certificate
  • Digital Delegate Pack

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Not sure which course to choose?

Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on + 1-866 272 8822 or Enquire.

Career Opportunities After AWS Training and Certification

Completion of AWS Trainings positions you for various roles such as:

  • Cloud Solutions Architect: Design and implement scalable, cost-efficient cloud infrastructures that meet business requirements.
  • DevOps Engineer: Automate and manage CI/CD pipelines, infrastructure as code, and cloud-native workflows to enhance operational efficiency.
  • Cloud Security Specialist: Protect cloud environments through identity management, encryption, monitoring and incident response.
  • Site Reliability Engineer (SRE): Ensure reliability, performance and availability of applications hosted on AWS platforms.
  • Cloud Engineer: Provide advisory, migration and optimisation services to organisations adopting AWS solutions.
     

Benefits of Getting AWS Certifications

The Knowledge Academy’s AWS Training and Certification Courses enable learners in the following ways:

Benefits of Getting AWS Certifications

  • Global Recognition: Professionals gain a widely respected certification that demonstrates your proficiency in cloud architecture and services.
  • Enhanced Technical Capability: Learners develop hands-on skills in AWS services, cloud deployment, security, and infrastructure management.
  • Career Progression and Salary Growth: Certified professionals are better positioned for advanced roles and higher remuneration in the cloud sector.
  • Strategic Business Value: Professionals with AWS expertise help organisations migrate, optimise and secure cloud solutions, delivering competitive advantage.
  • Flexibility and Market Relevance: AWS certifications open doors across industries, enabling adaptability as digital infrastructure evolves.
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Package deals for AWS Certification Training Courses

Our training experts have compiled a range of course packages on a variety of categories in AWS Certification Training Courses, to boost your career. The packages consist of the best possible qualifications with AWS Certification Training Courses, and allows you to purchase multiple courses at a discounted rate.

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AWS Certification Training Courses FAQs

An AWS Certification validates an individual's expertise in Amazon Web Services (AWS) cloud technologies. It demonstrates skills in areas like cloud architecture, development, operations, security, and data analytics, enhancing career opportunities in cloud computing.

AWS Certification benefits your career by validating your cloud expertise, increasing job opportunities, enhancing earning potential, and demonstrating your ability to design, deploy, and manage AWS solutions effectively.

The AWS Certification Course is ideal for IT professionals, cloud engineers, developers, architects, system administrators, and anyone seeking to advance their career in cloud computing or specialise in AWS technologies.

The prerequisite for each course varies. Please check the individual course page for prerequisites required for the respective course.

The course is designed to be accessible to all levels, making it suitable for both beginners and experienced professionals. It covers foundational concepts while offering in-depth insights into personal and organisational growth strategies.

Advanced AWS courses include Advanced Architecting on AWS, AWS Advanced Networking, and Professional Solutions Architect Training, designed to enhance expertise in complex AWS solutions, networking, and architecture.

Programming skills are not always necessary for AWS Certification Courses, but they are beneficial for developer or advanced-level certifications where coding knowledge enhances cloud solution implementation and automation.

With an AWS Certification, you can pursue roles such as Cloud Architect, Solutions Architect, Cloud Engineer, DevOps Engineer, Cloud Consultant, Systems Administrator, and AWS Developer across various industries.

The duration of these varies, typically ranging from a few days for foundational certifications to several weeks for advanced-level certifications, depending on the course complexity and learning pace.

In these training courses, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.

This course is suitable for IT professionals, cloud engineers, developers, architects, system administrators, and individuals aiming to build or enhance their expertise in AWS cloud technologies.

The duration of these courses varies. Please check the individual course pages for information on duration.

To prepare for an AWS Certification Exam, study the exam guide, take relevant training courses, practice with AWS hands-on labs, use official practice exams, and review key AWS documentation.

To get AWS certified, choose the appropriate certification, prepare using the courses provided by The Knowledge Academy and practice exams, schedule your test through the AWS Certification portal, and pass the exam to earn your certification.

AWS Certifications can be challenging, depending on the level. Foundational certifications are easier, while advanced and speciality certifications require in-depth knowledge, hands-on experience, and thorough preparation.

Yes, an AWS Course is an excellent career option due to the high demand for cloud professionals, competitive salaries, and the growing adoption of AWS across industries, offering substantial growth opportunities.

Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.

The Knowledge Academy provides flexible self-paced training for this course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.

If you are unable to access your training, contact the support team at The Knowledge Academy via their customer service email or phone number provided on their website for prompt assistance and resolution of your issue.

In this AWS Course, you will learn cloud fundamentals, architecture design, deployment strategies, AWS services like EC2, S3, and Lambda, security best practices, and managing scalable, cost-efficient solutions.

The Knowledge Academy in Honduras stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.

Choose the right AWS Certification based on your goals and experience: Foundational for beginners, Associate for intermediate cloud roles, Professional for advanced expertise, and Specialty for niche skills.

The Knowledge Academy is one of the Leading global training provider for AWS Certification Training Courses.

The training fees for AWS Certification Training Courses in Honduras starts from $2495

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