AWS Certification Training Courses

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

Architecting on AWS – Associate Certification Course Outline

Module 1: AWS Foundations

  • Core AWS Computing
  • Advantages of Cloud Computing
  • Cloud Concepts
  • Cloud Best Practices
  • AWS Storage
  • Event Driven Scaling
  • Amazon VPC
  • VPC Networking Fundamentals
  • Elastic Network Interface
  • VPC Peering
  • Routing Inside VPC
  • AWS CloudFormation
  • CloudFront
  • Amazon CloudFront Concepts
  • Access Logs
  • Identity and Access Management (IAM)
    • Functionality of IAM
    • Best Practices of IAM
    • Features of IAM
  • Amazon Simple Queue Service
    • Benefits of SQS
  • Route 53
    • Benefits of Using Route 53
    • Features and Service Highlights of Route53

Module 2: Designing AWS-Based Systems

  • Core AWS Architectural Principles
  • EC2
  • DynamoDB
  • Fault Tolerance
    • An Introduction
    • Amazon Simple Queue Service
    • Amazon Simple Storage Service
    • Amazon SimpleDB
    • Amazon RDS
  • Cost Efficiency
  • Elastic Load Balancer

Module 3: Implementation and Deployment

  • Scaling Applications
  • Types of AutoScaling
  • Scaling Servers
  • Direct Connect
  • Large Datastore Design

Module 4: Data Security

  • AWS Compliance
  • How to Secure AWS?
  • AWS Cloud Security
  • Benefits of Cloud Security
  • Security Platform
  • Security, Identity, and Compliance Products
  • Cloud Deployment Models
  • Types of Security
  • Cloud Security Model
  • Shared Responsibility Model

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Who should attend this Architecting on AWS - Associate Certification Course?

This Architecting on AWS - Associate Certification Course delves into the foundational principles and services of the Amazon Web Services (AWS) cloud platform, in which delegates will learn how to design and deploy scalable, secure, and robust applications on AWS. This course can be beneficial for various professionals, including:

  • Solutions Architects
  • Cloud Engineers
  • Systems Designers
  • IT Architects
  • Cloud Developers
  • AWS Cloud Practitioners
  • Systems Administrators
  • IT Managers
  • Technical Project Managers

Prerequisites of the Architecting on AWS - Associate Certification Course

There are no formal prerequisites required for the Architecting on AWS - Associate Certification Course.

Architecting on AWS Course Overview

Professionals must master crafting efficient solutions on Amazon Web Services (AWS). AWS Courses empower individuals with the expertise to create cost-effective, reliable, and scalable AWS systems. Proficiency in AWS architecture is a must for IT Professionals, Solution Architects, and those in charge of cloud infrastructure.

As AWS is a top player in the cloud industry, mastering this skill advances your career and equips you to create state-of-the-art, highly available systems that meet modern business needs. Our AWS Certifications will ensure that you are industry-ready and can implement structural alterations using the AWS management console.

This interactive 3-day Architecting on AWS - Associate Certification Course prepares you to become an efficient AWS Certified Solution Architect - Associate. While learning how to develop and engage with AWS cloud computing, delegates will learn the constituents of AWS, particularly the rules of designing a scalable architecture and implementing an AWS cloud platform.

Course Objectives

  • To design AWS architectures that align with business requirements
  • To understand AWS services and their integration for optimal solutions
  • To create highly available and fault-tolerant systems on AWS
  • To optimise AWS infrastructure for cost-efficiency
  • To implement security measures and compliance best practices
  • To utilise AWS Well-Architected Framework for design decisions
  • To manage scalability and performance effectively

After successfully completing this course, delegates will gain the expertise to design robust, scalable, and cost-effective AWS 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 Architecting on AWS - Associate Certification Course?

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

Show moredown

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

Developing on AWS - Associate Certification Course Outline

Module 1: Introduction

  • Introducing AWS Developer
  • Developing on AWS
  • Large Data Stores Design
  • Storage Solutions

Module 2: Identity Access Management

  • Identity Access Management
  • Security Token Service

Module 3: Elastic Compute Cloud (EC2)

  • Introduction to Elastic Compute Cloud (EC2)
  • EC2 Instances
  • Elastic Compute Cloud
  • Using PuTTY
  • AWS CLI
  • Elastic Load Balancers
  • Amazon Lambda

Module 4: S3

  • Fundamentals of S3
  • Cross-Region Replication
  • Management of Lifecycles
  • CloudFront
  • CloudFront Concepts
  • Serving Public Content Using CloudFront
  • Access Logs
  • Invalidation
  • AWS Security

Module 5: Fundamentals of Databases

  • DynamoDB
  • Amazon Relational Database Service (RDS)

Module 6: DynamoDB

  • Amazon DynamoDB
  • Features of Amazon DynamoDB
  • Tables
  • DynamoDB: Data Types
  • DynamoDB: Types of Indexing
  • Conditional Update and Concurrency Control
  • DynamoDB Security
  • NoSQL Databases
  • Advantages
  • CAP Theorem
  • Consistency at Read Time
  • Pre-Provision Capacity
  • Data Model Concepts
  • Data Types
  • Choose Index Key
  • Local Secondary Index
  • Global Secondary Index

Module 7: Simple Services

  • Simple Queue Service
  • Simple Notification Service (SNS)
  • AWS Simple WorkFlow (SWF)

Module 8: Final Concepts

  • AWS CloudFormation
  • DNS
  • Getting Started with Route 53
  • Latency Based Routing
  • Geographic Routing with Geo DNS
  • Weighted Resource Record Sets
  • Health Check
  • DNS Failover
  • Multivalue Answer Routing
  • Failover Routing
  • Domain Purchase
  • Amazon VPC
  • VPC Networking Fundamentals
  • Elastic Network Interface
  • VPC Peering
  • Routing Inside VPC
  • Auto Scaling Overview
  • Auto Scaling Components
  • Auto Scaling and Customising Termination Policy
  • Scaling
  • Scaling Cooldown
  • Instance Termination Protection
  • Auto Scaling Lifecycle Hooks
  • Considerations When Using Lifecycle Hooks

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Who should attend this Developing on AWS - Associate Certification Course?

The Developing on AWS - Associate Certification is designed for individuals who want to enhance their skills in developing applications on the Amazon Web Services platform. This course can be beneficial to various professionals, including:

  • Cloud Developers
  • Software Developers
  • Full Stack Developers
  • Application Developers
  • Solutions Architects
  • DevOps Engineers
  • Cloud Engineers

Prerequisites of the Developing on AWS - Associate Certification Course

There are no formal prerequisites to attend the Developing on AWS - Associate Certification Course. However, a basic knowledge of cloud computing and AWS would be beneficial.

AWS Developer Associate Certification Training Course Overview

Cloud computing is the essential foundation of contemporary businesses. The AWS Developer Associate Certification Training Course is tailored to acquaint individuals with Amazon Web Services (AWS) and its pivotal role in IT.  It empowers professionals to create, launch, and manage applications using the AWS platform.

Proficiency in AWS is essential for IT Professionals, Developers, and Software Engineers who want to excel in cloud-based application development. As AWS continues to gain popularity across various industries, mastering this skill unlocks numerous career opportunities. Thus, AWS Certifications are perfect for those looking to advance their cloud computing, DevOps, and software development careers.

This 1-day training course is a quick path to achieve the AWS Developer Associate Certification. It offers a comprehensive course with essential AWS concepts and services, and hands-on labs. Delegates will acquire practical skills in creating, deploying, and optimising AWS applications. By the end of the course, attendees will feel well-prepared and capable of excelling in AWS development projects.

Course Objectives

  • To understand the core AWS services and their functions
  • To develop, deploy, and manage applications on AWS
  • To implement security best practices for AWS applications
  • To optimise AWS resources for cost-efficiency
  • To utilise AWS developer tools for efficient coding and deployment
  • To effectively apply cloud-native development principles

After completing this course, delegates will be thoroughly prepared to excel in the globally recognised AWS Certified Developer - Associate exam, showcasing their proficiency in AWS development.

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What’s included in this Developing on AWS - Associate Certification Course?

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

Show moredown

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Advanced Architecting on AWS - Professional Certification Course Outline

Module 1: Reassessment of Architecture for Cloud Best Practices

  • Reassessment of Architecture for Cloud
  • Design Principles
  • Cloud
    • Concepts
    • Best Practices

Module 2: AWS Well-Architected Framework

  • Introduction
  • Features
  • Build Using a Structured Approach
  • Five Pillars of the Well-Architected Framework

Module 3: AWS Account Techniques

  • AWS Organisations
  • Benefits of AWS Organisations

Module 4: Advanced Architectures of Networking

  • Amazon VPC
  • VPC Networking Fundamentals
  • Elastic Network Interface
  • VPC Peering and Routing Inside VPC
  • Advanced ELB
  • VPN

Module 5: AWS Deployment Administration

  • AWS Deployment Administration
  • DevOps Practices

Module 6: Large Datastore Design

  • Amazon Elastic Block Store
  • Amazon Elastic File System
  • Amazon S3
  • Amazon Glacier
  • AWS Storage Gateway
  • Data Transfer Services

Module 7: Transporting Large Datastores

  • Cloud Data Migration

Module 8: Architectures of Big Data

  • Introduction
  • Elastic MapReduce (EMR)
  • Amazon Redshift
  • AWS Data Pipeline
  • Transporting Large Data Stores
  • AWS Storage Gateway
  • AWS Snowball
  • Advanced Dynamo DB
  • DynamoDB: It’s Working
  • DynamoDB Core Components
  • DynamoDB Supported Technologies
  • DynamoDB API Operations
  • Control Plane
  • Data Plane
  • DynamoDB Streams
  • Conditional Update and Concurrency Control
  • DynamoDB Security

Module 9: Large Scale Applications

  • Scaling Applications
  • Types of AutoScaling
  • Scaling Servers

Module 10: Constructing Resilience

  • Resiliency
  • High Resiliency for Critical Workloads
  • Maximum Resiliency for Critical Workloads
  • Non-Critical Production Workloads or Development Workloads
  • AWS Managed VPN Connections as a Backup for the Direct Connect

Module 11: Cloud Security

  • AWS Cloud Security
  • Benefits of Cloud Security
  • Security Platform
  • Security, Identity, and Compliance Products

Module 12: Data Encryption

  • Encrypting with KMS
  • Encrypting and Signing DynamoDB Data in Your Application

Module 13: AWS Key Management

  • Introduction
  • Benefits

Module 14: Protecting Data

  • Data Protection
  • Data Protection with S3
  • Ten Ways to Protect Data on AWS

Module 15: Performance Design

  • Five Pillars

Module 16: Managing Deployment

  • Introduction
  • AWS Deployment Services

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Who should attend this Advanced Architecting on AWS - Professional Certification Course?

This Advanced Architecting on AWS - Professional Certification Course is designed for individuals who want to showcase their advanced skills in architecting solutions on the Amazon Web Services (AWS) platform. This course can be beneficial to a wide range of professionals, including:

  • Solutions Architects
  • Cloud Architects
  • Senior DevOps Engineers
  • Cloud Infrastructure Engineers
  • Cloud Solutions Engineers
  •  AWS Solutions Architects
  • Senior Cloud Engineers
  • Cloud Systems Architects

Prerequisites of the Advanced Architecting on AWS - Professional Certification Course

There are no formal prerequisites to attend the Developing on AWS - Associate Certification Course. However, a basic knowledge of AWS Certified Solutions Architect - Associate certification would be beneficial.

Advanced Architecting on AWS - Professional Certification Course Overview

Cloud computing is the foundation of digital transformation, and Amazon Web Services (AWS) is a prominent leader in this industry, offering diverse services. The Advanced Architecting on AWS Certification Course is specifically tailored to empower professionals with the expertise to design intricate, scalable, and secure solutions on AWS. Given the increasing adoption of cloud technology, this course is exceptionally valuable for IT professionals and organisations striving to unlock AWS's full potential.

Proficiency in advanced AWS Architecture is essential for IT Architects, Solution Architects, and System Administrators. It enables them to create and implement AWS-based solutions that meet the demanding needs of modern applications. AWS is the cornerstone of numerous businesses' IT strategies, making it vital for professionals in cloud-based environments, DevOps, and cloud infrastructure management to excel in advanced architectural skills.

This 1-day intensive training course offers delegates a comprehensive grasp of AWS architecture best practices, design principles, and advanced techniques. Participants will get practical experience in creating scalable and highly available AWS solutions. Through interactive sessions and hands-on exercises, attendees will sharpen their problem-solving skills and feel well-prepared to handle intricate AWS projects.

Course Objectives

  • To develop expertise in designing multi-tier, fault-tolerant architectures on AWS
  • To master AWS services and features for advanced application deployment
  • To understand security best practices for AWS-based solutions
  • To optimise AWS environments for cost-efficiency and performance
  • To learn advanced networking concepts, including VPC design
  • To gain proficiency in managing data on AWS, including databases and data lakes
  • To implement best practices for monitoring and troubleshooting AWS applications

After successfully completing this course, delegates will be fully prepared to tackle the AWS Certified Solutions Architect - Professional exam. Additionally, they will possess the practical skills and knowledge needed to design and oversee complex AWS solutions, enhancing their value to their organisations in the age of cloud computing.

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What’s included in this Advanced Architecting on AWS - Professional Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • Advanced Architecting on AWS - Professional Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

Systems Operations on AWS - Associate Certification Course Outline

Module 1: AWS Services

  • Introducing AWS Services
  • AWS Benefits

Module 2: Introduction to Sysops

  • Responsibilities of a SysOps Admin
  • Performance Considerations
  • Multi-Region Deployments
  • Deployment Strategies
  • Cost Optimisations
  • Resource Tags

Module 3: Security and AWS Identity and Access Management

  • Identity Access Management
  • Security Token Service (STS)
  • AWS Security
  • Security Platform
  • Security, Identity, and Compliance Products

Module 4: Compute

  • Elastic Compute Cloud (EC2)
  • EC2 Instances
  • Elastic Compute Cloud
  • EC2 Container Service (ECS)
  • Elastic Beanstalk
  • Elastic Beanstalk Components
  • Comparison with Beanstalk and CloudFormation
  • Application Lifecycle in Elastic Beanstalk
  • Amazon Lambda

Module 5: Networking

  • VPC
  • VPC Networking Fundamentals
  • VPC Peering
  • Routing Inside VPC
  • Route 53
  • CloudFront
  • CloudFront Concepts
  • Serving Public Content Using CloudFront

Module 6: Databases

  • DynamoDB
  • Amazon Relational Database Service (RDS)
  • Amazon DynamoDB
  • Features of Amazon DynamoDB
  • Tables
  • DynamoDB
    • Data Types
    • Types of Indexing
  • Conditional Update and Concurrency Control
  • DynamoDB Security
  • NoSQL Databases
  • Advantages
  • CAP Theorem
  • Consistency at Read Time
  • Pre-Provision Capacity
  • Data Model Concepts
  • Choose Index Key
  • Secondary Index
    • Local
    • Global

Module 7: Storage Systems

  • Storage Solutions
  • Large Data Stores Design
  • Fundamentals of S3
  • Cross-Region Replication
  • Management of Lifecycles

Module 8: Monitoring and Metrics

  • CloudTrail
  • Getting Started with CloudTrail
  • Amazon CloudWatch
  • CloudWatch Architecture
  • APIs and Use Cases
  • Available Metrics
  • Custom Metrics
  • Introduction to ECS
  • Working with Clusters
  • Task Definitions
  • Running Tasks
  • Service Load Balancing
  • ECS Scheduler
  • Container Agent
  • Using Data Volumes
  • Monitoring ECS
  • ECS Security Using IAM
  • Elastic Container Registry
  • Amazon ECR Service Limits
  • Auto Scaling Overview
  • Auto Scaling
    • Components
    • Termination Policy
  • Customising Termination Policy
  • Scaling
  • Scaling Cooldown
  • Instance Termination Protection
  • Auto Scaling Lifecycle Hooks
  • Considerations When Using Lifecycle Hooks

Module 9: Simple Services

  • Simple Queue Service
  • Simple Notification Service (SNS)

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Who should attend this Systems Operations on AWS - Associate Certification Course?

The Systems Operations on AWS - Associate Certification Course is aimed at a variety of professionals who are engaged in managing, operating, and deploying systems on AWS infrastructure. This course can be beneficial to  various professionals, including:

  • Systems Administrators
  • DevOps Engineers
  • Cloud Support Engineers
  • Network Engineers
  • Security Analysts
  • Database Administrators
  • IT Managers

Prerequisites of the Systems Operations on AWS - Associate Certification Course

There are no formal prerequisites for the Systems Operations on AWS - Associate Certification Course. However, delegates who possess 1 year of professional experience with deployment and management on AWS or holding 1-2 years of experience in the role of a System Administrator will be ideal for this course.

 

AWS SysOps Associate Certification Training Overview

The AWS SysOps Associate Certification Training is a thorough course which  provides professionals with the necessary skills and knowledge to excel in AWS cloud operations. It focuses on the operational aspects of AWS, enabling organisations to efficiently manage their resources and applications.

Proficiency in AWS SysOps is crucial for professionals in cloud computing, particularly for System Administrators, Devops Engineers, and those overseeing AWS resources. It empowers them to efficiently monitor, manage, and troubleshoot AWS environments, guaranteeing peak performance, security, and cost-effectiveness to advance their careers.

This 1-day training course is tailored to equip delegates with practical experience and a comprehensive understanding of AWS SysOps. It offers valuable insights into AWS services, cloud operational best practices, and essential tools for automating tasks and optimising workflows. Additionally, this training helps delegates prepare for the AWS SysOps Associate Certification exam, enhancing their readiness for a successful certification.

Course Objectives

  • To learn to implement and manage AWS resources efficiently
  • To monitor and troubleshoot AWS applications for optimal performance
  • To gain knowledge on how to automate operational tasks using AWS services and tools
  • To ensure security and compliance in AWS environments
  • To optimise costs by understanding AWS billing and resource utilisation
  • To prepare effectively for the AWS SysOps Associate Certification exam

After completing the Systems Operations on AWS - Associate Certification Course,  delegates will acquire the expertise required to excel in AWS cloud operations. This training will confidently prepare them to take the AWS SysOps Associate Certification exam, validating their skills and boosting their career prospects.

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What’s included in this Systems Operations on AWS - Associate Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • Systems Operations on AWS - Associate Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

DevOps Engineering on AWS - Professional Certification Course Outline

Module 1: An Introduction to AWS DevOps

  • Overview – AWS DevOps

Module 2: Defining DevOps

  • DevOps Model
  • Benefits of DevOps

Module 3: Code Infrastructures

  • What is Infrastructure as Code and Why it is Important?
  • How is Infrastructure as Code Related to DevOps?

Module 4: AWS Command Line Interface (CLI)

  • Overview

Module 5: DevSecOps Overview

  • What is DevSecOps?
  • Benefits of DevSecOps Approach
  • Advantages of DevSecOps
  • Components of DevSecOps Approach

Module 6: Strategies for Deployment

  • Best Practices (Strategies) of DevSecOps
  • Steps to Implement DevSecOps
  • Benefits of Strategies

Module 7: Tools for Developing

  • Continuum Security
  • Threat Modeler
  • Evedent.io
  • CheckMarx
  • Contrast Security
  • IMMUNIO
  • Aqua Security
  • Dome9 Security
  • White Source

Module 8: AWS Automated Testing

  • Benefits of Testing
  • Automated Testing Environments
  • Sections for Provisioning Amazon EC2 Instances
  • Types of Testing

Module 9: Cloud Continuous Assimilation

  • What is Assimilation and Continuous Security?
  • Applying DevSecOps to Address Cloud Security Challenges
  • Applying DevSecOps to Cloud
  • Implementing DevSecOps in Cloud

Module 10: AWS Continuous Delivery

  • What is Continuous Delivery?
  • Continuous Delivery Vs Continuous Deployment
  • Benefits of Continuous Delivery

Module 11: AWS Applications Deployment

  • Create an Amazon EC2 Instance
  • Launch a Windows Server Amazon EC2
  • Configure Your Source Content
  • Upload Your "Hello, World!" Application to Amazon S3
  • Deploy Your Application
  • Update and Redeploy Your "Hello, World!" Application
  • To Clean Up Resources

Module 12: Infrastructure Administration and Automation

  • Benefits of Automation
  • Automation in DevSecOps
  • How to Automate the Sec in DevSecOps?
  • Conclusion on Automation
  • Infrastructure Administration
  • Enforce Policy and Governance
  • Automate the Security Process and Tools
  • Conduct Vulnerability Management
  • Adopt Configuration Management
  • Secure Access with Secret Management
  • Segment Networks

Module 13: Configuration Management

  • What is Configuration Management?
  • Process of Configuration
  • How to Implement a Configuration Management Solution on AWS?

Module 14: Constructing AMI

  • What is an AMI?
  • How to Create a Custom AMI in AWS?

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Who should attend this DevOps Engineering on AWS - Professional Certification Course?

The DevOps Engineering on AWS - Professional Certification Course is designed for individuals who want to demonstrate their expertise in DevOps practices and tools within the Amazon Web Services. This course can be beneficial to a variety of professionals, including:

  • DevOps Engineers
  • Cloud Engineers
  • Solutions Architects
  • Senior DevOps Specialists
  • Continuous Integration and Continuous Delivery Engineers
  • Cloud Infrastructure Engineers
  • DevOps Managers
  • Site Reliability Engineers

Prerequisites of the DevOps Engineering on AWS - Professional Certification Course

There are no formal prerequisites for this DevOps Engineering on AWS - Professional Certification Course. However, delegates with experience in developing code or in implementing continuous delivery systems can benefit from this course.

DevOps Engineering on AWS - Professional Certification Course Overview

The DevOps Engineering on AWS - Professional Certification Course is designed to empower IT professionals with the knowledge and skills needed to excel in the dynamic DevOps on Amazon Web Services (AWS) field. DevOps is a critical approach that connects software development and Operations, allowing organisations to deliver high-quality software products faster and more efficiently.

Embracing DevOps practices on AWS is essential for achieving agility, scalability, and reliability. Proficiency in DevOps Engineering on AWS is essential for IT professionals, including Software Developers, System Administrators, and Devops Engineers. This course is designed for those looking to master automation, continuous integration, continuous delivery, and Infrastructure as Code (IaC) principles on AWS.

In this intensive 1-day training course, delegates will gain hands-on experience and in-depth knowledge of DevOps best practices on AWS. Delegates will discover how to use AWS services to automate processes, handle infrastructure, and enhance application deployment pipelines. Through practical exercises and real-world scenarios, attendees will build the confidence and expertise to excel in DevOps roles within AWS environments.

Course Objectives

  • To understand the core principles and benefits of DevOps
  • To implement DevOps practices in AWS environments
  • To automate infrastructure provisioning using AWS CloudFormation
  • To create and manage CI/CD pipelines with AWS tools
  • To monitor and troubleshoot applications and infrastructure on AWS
  • To ensure security and compliance in DevOps processes
  • To utilise containerization and serverless computing on AWS

After successfully completing this course, delegates will  possess the expertise to lead DevOps projects, optimise AWS resources, and support the seamless and continuous delivery of top-tier software solutions in AWS cloud environments. 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 DevOps Engineering on AWS - Professional Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • DevOps Engineering on AWS - Professional Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Classroom (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

Our AWS Technical Essentials training course gives delegates an insight into the functions, products, and solutions of AWS. This training course will enhance the delegate’s ability to make more coherent and relevant decisions relating to IT solutions within their own organisation, by recognising the capabilities of AWS. This course will provide a detailed introduction into the main concepts of AWS, to enable delegates to utilise the services.

During this course, delegates will become familiar with key terminology and notions of AWS, in the context of the AWS platform. Foundational Services of AWS, including Elastic Load Balancing (EC2), Virtual Private Cloud (VPC), Simple Storage Service (S3), and Elastic Load Balancing (ELB) will be explored. Identity Access Management will be covered, as will database services such as DynamoDB.

Primarily, this AWS Technical Essentials training course will fully prepare delegates for the associated examination. This course is highly interactive and engaging, as it is delivered via instructor-led teaching and practical labs. This combination ensures that delegates can implement their acquired knowledge in a hands-on manner, to assess the extent of their new abilities.

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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)

Classroom (2 days)

Online Self-paced (16 hours)

Big Data On AWS Training Course Outline

Module 1: Introduction to AWS and Big Data

  • An Introduction to Big Data
  • Ingestion, Transmission, and Compression of Big Data
  • Kinesis and Data Stream
  • Data Storage Solutions
  • Using DynamoDB to Store and Query Data
  • Processing Big Data
  • Operating Athena
  • Utilising Elastic MapReduce

Module 2: Apache Hadoop and EMR (Elastic MapReduce)

  • Apache Hadoop and EMR
  • Consolidating EMR with HUE
  • Function of Pig Scripts in Hue
  • Spark on EMR
  • Constructing and Querying Tables

Module 3: Big Data with Redshift in AWS

  • Big Data with Redshift
  • 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 Course?

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 Course

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 Certification Overview

Big Data has become essential for decision-making and business strategy in various industries. The Knowledge Academy provides this AWS Certification that teaches how to efficiently and effectively handle, process, and analyse large datasets using Amazon Web Services (AWS). 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 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 Training Course, delegates will possess the necessary expertise to design and deploy cost-efficient, scalable Big Data solutions on the AWS platform. 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 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)

Classroom (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 one-day training 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)

Classroom (1 days)

Online Self-paced (8 hours)

Amazon AppStream Training​ Course Outline

This AWS Lambda Training course will cover the following areas:

Module 1: What is Amazon AppStream 2.0?

  • Setting Up
  • Set Up with Sample Applications

Module 2: Networking and Access

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

Module 3: Image Builders

  • Launch an Image Builder
  • Connect to an Image Builder
  • Image Builder Actions
  • Instance Metadata for Image Builders
  • Install AMD Driver on Graphics Design Instances
  • Base Image and Managed Image Update Release Notes

Module 4: Images

  • Default Settings and Application Launch Performance
  • Manage AppStream 2.0 Agent Versions
  • Agent Release Notes
  • Tutorial: Create a Custom Image by Using the Console
  • Administer Your Images
  • Create Your AppStream 2.0 Image Programmatically
  • Create Your Linux-Based Images
  • Use Session Scripts to Manage Your Users' Streaming Experience

Module 5: Applications Manager

  • App Blocks
  • App Block Builder
  • Applications
  • Store Application Icon, Setup Script, Session Script, and VHD in an S3 Bucket
  • Associate Applications to Elastic Fleets
  • Additional Resources

Module 6: Fleets and Stacks

  • Fleet Types
  • Instance Families
  • Create a Fleet and Stack
  • Customise a Fleet
  • Update a Fleet
  • Fleet Auto Scaling

Module 7: User Authentication

  • AppStream 2.0 User Pools
  • SAML 2.0 Integration

Module 8: Using Active Directory

  • Add Your Custom Branding to AppStream 2.0
  • Embed AppStream 2.0 Streaming Sessions
  • Module 9: Administer Persistent Storage
  • Administer Home Folders
  • Administer Google Drive
  • Administer OneDrive for Business

Module 10: 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 11: Enable Regional Settings for Your Users

  • Configure Default Regional Settings for Your Users
  • Enable Your Users to Configure Their Regional Settings

Module 12: Manage Application Entitlements

  • Attribute-Based Application Entitlements
  • Dynamic Application Framework

Module 13: Provide User Access

  • Provide Access Through a Web Browser
  • Provide Access Through the Client
  • Tagging Your Resources

Module 14: Monitoring and Reporting

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

Module 15: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • Security Groups
  • Update Management
  • Confused Deputy Prevention

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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.

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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

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Online Instructor-led (1 days)

Classroom (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 Course?

The AWS EMR Training 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 Training 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 pivotal 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. This course is particularly relevant for IT Professionals, Data Analysts, and Business Intelligence Experts looking to enhance their career prospects.

In this one-day course, delegates will gain a thorough understanding of AWS Elastic MapReduce (EMR), including its architecture and operational principles. The course 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. 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 EMR Training Course?

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to AWS IoT Course Outline

Module 1: Introduction to AWS IoT

  • Concepts of IoT
  • Introduction to Cloud Computing
  • IoT Cloud Architecture
  • IoT Protocol Standard Framework and Stack
  • IoT Application Layer Protocols, API, and Libraries
  • AWS Account Creation

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

  • IoT Device SDK
  • Device Registry
  • Device Management
  • Certificates and Policies
  • Message Broker
  • Device Shadow Service
  • Rules Engine and Rule Actions
  • Amazon Greengrass Core
  • IoT Analytics Service
  • Integration with AWS Service Stack

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Who should attend this Introduction to AWS IoT 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 Introduction to AWS IoT Course

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

Introduction to AWS IoT Course Overview

The Internet of Things (IoT) has transformed various industries, with AWS IoT as its foundation. This Introduction to AWS IoT Course explores AWS IoT in detail, highlighting its importance and real-world uses providing delegates with vital insights. Proficiency in AWS IoT is vital for IT Professionals, Iot Developers, and Cloud Architects. Mastery of this subject empowers them to harness the potential of IoT for efficient, data-driven decision-making and innovation in various domains.

In this 1-day course, 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 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. 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 Introduction to AWS IoT Course?

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

Show moredown

Online Instructor-led (1 days)

Classroom (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.

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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

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Online Instructor-led (1 days)

Classroom (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.

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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)

Classroom (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 service enabling developer to build and train machine learning models for predictive or analytical applications in AWS (Amazon Web Service) public cloud. It comprises modules that can be used together or independently for building, training, and deploying machine learning models. It supports Jupyter notebooks, which are open source web applications helping developers share live code. This Amazon SageMaker Training is designed to equip delegates with a comprehensive knowledge of Amazon SageMaker.

In this 2-day course, delegates will learn how to create an Amazon S3 bucket and IAM administrator user and group. Delegates will gain knowledge of how to download, explore, and transform data. In addition, they will get an understanding of how to build, train, and deploy a model in Amazon SageMaker.

During this course, delegates will be using an algorithm to run a training job, hyperparameter tuning job, and a model package to create a model. Delegates will become familiarised with Apache spark, TensorFlow and Apache MXNet. They will gain in-depth knowledge of reinforcement learning with Amazon SageMaker RL. Post completion of this training, delegates will be able to protect data at rest and in transit using encryption.

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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 (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Amazon WorkSpaces Training Course Outline

Module 1: Introduction to Amazon WorkSpaces

  • What is Amazon WorkSpaces?
  • Features of Amazon WorkSpaces
  • Understanding Architecture

Module 2: Networking, Access, and Security

  • Introduction
  • VPC for Amazon WorkSpaces
  • IP Address and Port Requirements
  • Network Requirements
  • Control Access and Trusted Devices in Amazon WorkSpaces
  • Internet Access
  • Security Groups
  • IP Access Control Groups

Module 3: Directories in Amazon WorkSpaces

  • Introduction to Directories
  • Registering Directory
  • Directory Management Tasks
  • Manage Windows WorkSpaces

Module 4: Monitoring Amazon WorkSpaces

  • Amazon WorkSpace Metrics
  • Dimensions for Amazon WorkSpace Metrics

Module 5: Troubleshooting

  • Enabling Advanced Logging
  • Common Troubleshooting Issues

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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 WorkSpace is a managed cloud-based, secure virtual desktop infrastructure (VDI) solution. With the help of Amazon WorkSpace, infrastructure has the ability to eliminate the need to acquire and deploy hardware or install complicated software. As needed, the user can quickly add or remove the user. Also, users can access their virtual desktop from multiple devices or web browsers. This course will boost the skill level to get a complete understanding of WorkSpaces.

In this 1-day course, delegates will learn about technical terms that are used in Amazon WorkSpace. The course will teach networking, access and security for Amazon WorkSpaces. At an administrative level, delegates will gain knowledge of VPC for Amazon WorkSpaces, control access to Amazon WorkSpaces, restrict WorkSpaces access to trusted devices, IP access control groups for organisation and required configuration and service components.

During this course, delegates will learn how to launch the WorkSpace and manage the users. In addition, they will develop their knowledge and skillset to troubleshoot any issue. Post course completion, delegates will be able to manage Amazon WorkSpaces and its components like networking, access and security as well as monitoring and troubleshooting.

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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

Show moredown

Online Instructor-led (1 days)

Classroom (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: Loading and Unloading Data

  • Update with DML
  • Updating and Inserting
  • Performing a Deep Copy
  • Analyse and Vacuum Tables
  • Manage Concurrent Write Operations
  • Unload Data to Amazon S3 and Encrypted Data Files
  • Unloading Data in Delimited or Fixed-Width Format
  • Reloading Unloaded Data

Module 4: Create User Defined Functions and Stored Procedure

  • UDF Security and Privileges
  • Creating a Scalar SQL UDF, Python UDF, and Lambda UDF
  • Stored Procedure Overview

Module 5: Sharing Data Across Clusters

  • Data Sharing Overview
  • Amazon Redshift Data Sharing
  • Data Sharing Lifecycle
  • Manage Permissions for Data Shares
  • Cluster Management and Data Sharing
  • Accessing Metadata for Data Shares
  • AWS Data Exchange for Amazon Redshift

Module 6: Managing Database Security

  • Amazon Redshift Security Overview
  • Default Database User Privileges
  • Superusers
  • Role-based Access Control

Module 7: 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.

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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)

Classroom (1 days)

Online Self-paced (8 hours)

Amazon ElastiCache for Redis Course Outline

During this Amazon ElastiCache for Redis training, candidates will explore the following topics:

 

Module 1: What is Amazon ElastiCache for Redis?

  • Introduction to ElastiCache Redis
  • What is Redis?
  • Why Redis?
  • AWS Overview
  • 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
  • Caching Strategies- Write Through
  • Caching Strategies- 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.

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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

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Cloud9 Training Course Outline

The following modules are arranged to provide complete knowledge of OpsWorks, AWS CodeDeploy and AWS CodeStar. Delegates will have the opportunity to take part in Cloud-based infrastructure as a developer or administrator.

Module 1: Introduction to AWS Cloud9

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

Module 2: Setting Up

  • Individual User Setup
  • Team Setup
  • Enterprise Setup
  • Additional Setup Options

Module 3: Working with Environments

  • Creating an Environment
  • Accessing No-Ingress EC2 Instances with Systems Manager
  • Opening an Environment
  • Call AWS Services from an Environment
  • Changing Environment Settings
  • Working with Shared Environments
  • Moving an Environment and Resizing/Encrypting Amazon EBS Volumes
  • Deleting an Environment

Module 4: Working with the IDE

  • Run an Application
  • Preview a Running Application
  • Reload an Application Preview
  • Change the Application Preview Type
  • Open an Application Preview in a Separate Web Browser Tab
  • Switch to a Different Preview URL

Module 5: AWS Toolkit

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

Module 6: Security

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

Module 7: 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 Training Course. However, a basic understanding of cloud computing would be beneficial to delegates.

AWS Cloud9 Training Course Overview

The AWS Cloud9 Training 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 one-day intensive training 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 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. 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 Cloud9 Training Course?

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

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Online Instructor-led (2 days)

Classroom (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 Serverless v1 and Serverless v2
  • Using Aurora Global Databases
  • Connecting to a DB Cluster
  • Using RDS Proxy
  • Working with Parameter Groups
  • Migrating Data to a DB Cluster

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
  • Monitoring with Performance Insights
  • Analysing Performance with DevOps Guru for RDS
  • Monitoring OS Metrics
  • Working with Amazon RDS Events
  • Working with Database Logs
  • Working with AWS CloudTrail and Amazon RDS
  • Using Database Activity Streams

Module 5: Aurora MySQL and Aurora PostgreSQL

  • Working with Aurora MySQL
  • Working with Aurora PostgreSQL

Module 6: Security

  • Database Authentication
  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • VPC Endpoints
  • Security Best Practices
  • Controlling Access with Security Groups
  • Master User Account Privileges
  • Service-Linked Roles
  • Using Amazon Aurora with Amazon VPC

Module 7: Troubleshooting for Aurora

  • Can't Connect to Amazon RDS DB Instance
  • Amazon RDS Security Issues
  • Resetting the DB Instance Owner Password
  • Amazon RDS DB Instance Outage or Reboot
  • Amazon RDS DB Parameter Changes Not Taking Effect
  • Amazon Aurora MySQL Out of Memory Issues
  • Amazon Aurora MySQL Replication Issues

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Who should attend this AWS Aurora Training Course?

The AWS Aurora Training 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 Course 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 Training 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 organizations 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 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 optimizing 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 training course, delegates will be well-prepared to leverage AWS Aurora effectively in their organizations. They will receive a certification of completion and access to valuable resources to further enhance their AWS skills. 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 Aurora Training Course?

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

Show moredown

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS 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 Machine Learning Training Course?

The AWS Machine Learning Training is designed for professionals aiming to harness the power of Machine Learning using Amazon Web Services technologies. This AWS Certification 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 Machine Learning Training Course

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

AWS Machine Learning Training Course Overview

The AWS Machine Learning Training Course 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 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 training 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 explore use cases and best practices
  • To gain proficiency in AWS Machine Learning services

After successfully finishing this course, delegates will be well-prepared to harness the power of AWS Machine Learning for generating data-driven insights, enhancing decision-making processes, and devising 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 Machine Learning Training Course?

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

Show moredown

Online Instructor-led (1 days)

Classroom (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 Course?

The AWS RoboMaker Training 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 Course

There are no formal prerequisites to attend the AWS RoboMaker Training Course. However, a basic understanding of robotics and cloud computing  would benefit delegates.

AWS RoboMaker Training Course Overview

The AWS RoboMaker Training 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 one-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

 

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Online Instructor-led (1 days)

Classroom (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.   

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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

Show moredown

Online Instructor-led (1 days)

Classroom (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
  • What is ABAC?
  • Security Features Outside IAM
  • Working with AWS SDKs

Module 2: Identities

  • Users and User Groups
  • Roles
  • Tagging IAM Resources
  • Temporary Security Credentials
  • AWS Account Root User
  • Log Events with CloudTrail

Module 3: Access Management

  • Policies and Permissions
  • Managing IAM Policies
  • Permissions Required

Module 4: Security

  • Data Protection
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • Configuration and Vulnerability Analysis
  • Security Use Cases
  • AWS Managed Policies

Module 5: Access Analyser

  • Resource Types
  • How Access Analyser Works?
  • Settings
  • Access Analyser Findings
  • Access Analyser Policy Validation and Generation
  • Archive Rules
  • Preview Access
  • Access Analyser Reference
  • Monitoring with EventBridge
  • Security Hub Integration
  • Logging with CloudTrail

Module 6: Troubleshooting IAM

  • General Issues
  • Access Denied Error Messages
  • IAM Policies
  • FIDO Security Keys
  • IAM Roles
  • IAM and Amazon EC2
  • IAM and Amazon S3
  • SAML Federation

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Who should attend this AWS Identity and Access Management Training Course?

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 Training Course

There are no formal prerequisites to attend the AWS Identity and Access Management Training 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

Mastering AWS Identity and Access Management (IAM) is crucial because IAM is the foundation of security and authorisation in Amazon Web Services (AWS). The Knowledge Academy's AWS Identity and Access Management (IAM) Training Course delves deep into IAM, providing professionals with the necessary knowledge and skills to secure AWS resources effectively.

As businesses increasingly rely on cloud services, proficiency in IAM is relevant and essential. Proficiency in AWS Identity and Access Management (IAM) is vital for IT Professionals, Security Experts, and AWS Administrators. Mastering AWS IAM is crucial if you're responsible for safeguarding AWS resources, controlling user access, and ensuring compliance. Managing permissions and crafting strong access policies is a fundamental skill for anyone working with AWS.

Our intensive 1-day training provides delegates with practical experience in AWS Identity and Access Management (IAM). Delegates will acquire the skills to create and oversee IAM users, roles, and policies effectively. This course will also impart valuable insights into securing AWS resources and managing access to services, offering delegates the expertise needed to navigate AWS's intricate identity and access management system.

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 (1 days)

Classroom (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.

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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)

Classroom (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 Course 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 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 Course.

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.

Our 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. By the end of the course, delegates will be adept at creating, training, and deploying Deep Learning models on AWS, positioning them as valuable assets within their organisations.

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 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. 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 Deep Learning on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Deep Learning on AWS 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 +61 272026926 or Enquire.

Package deals

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AWS Certification Training Courses FAQs

The AWS Certification is a credential awarded by Amazon Web Services (AWS) to individuals who demonstrate proficiency and expertise in various AWS cloud computing services and technologies. These certifications validate a person's technical knowledge, skills, and ability to design, implement, and manage AWS solutions effectively.
Learning about AWS is important because it is a dominant cloud services provider, offers scalability and flexibility, provides cost efficiency, offers a wide range of services, and promotes innovation with cutting-edge technologies. It also offers security knowledge and supports continuous learning and career growth.
Businesses, startups, government agencies, educational institutions, and individuals utilise AWS for cloud computing needs. This includes companies of all sizes, spanning various industries like technology, finance, healthcare, media, and more, seeking scalable, reliable, and secure cloud solutions for their operations and applications.
AWS Certification Courses cover cloud basics, Big Data, Data Warehousing, and Artificial intelligence. They also delve into specialised topics like machine learning, emphasising best practices, networking, security, cost management, and updates on AWS services.
In this AWS Training , the objectives are to provide comprehensive knowledge and practical skills necessary to pass the AWS exams, build expertise in cloud computing, and equip delegates with the confidence and competence to excel in their careers as AWS professionals.
Anyone who wants to validate their AWS skills and expertise should consider taking AWS Courses. It is suitable for Developers, IT Professionals, System Administrators, Architects, and individuals seeking career opportunities in cloud computing.
Our AWS Certified Cloud Practitioner Course is best suited for beginners. This AWS Training Course covers essential topics and provides a foundational understanding of AWS cloud services.
There are no prerequisites for AWS Certifications. However, delegates are encouraged to garner some experience with AWS services to make the most out of our AWS Courses.
The Knowledge Academy offers several advanced AWS Courses, including AWS Professional Solutions Architect Training Course, AWS Advanced Architecture Certification Training Course, DevOps Engineering on AWS - Professional Certification, etc. These AWS Certification Courses cater to different areas of expertise and provide in-depth knowledge in their respective domains. You can explore our wide range of AWS Courses from the ‘AWS Certification Training Courses’ section above.
While some AWS services can be utilised without extensive programming knowledge, others require scripting or programming skills for effective implementation and customisation. Please refer to our course pages for specific information.
With an AWS Certification, you can expect job roles such as AWS Solutions Architect, AWS Developer, AWS SysOps Administrator, Cloud Engineer, DevOps Engineer, Cloud Architect, and Cloud Consultant. These roles involve designing, implementing, and managing AWS solutions, infrastructure, and applications.
To become AWS-certified, individuals need to select a certification path like Architect or Developer, prepare for the exam, and then pass the corresponding certification exam to demonstrate their proficiency in AWS services and best practices. You can explore the complete list of our AWS Certifications from our Course Catalogue.
The difficulty level of acquiring AWS Certificationsvariesdepending on the certification level and your prior experience and knowledge of AWS. Hands-on experience with AWS services and proper preparation for the examvia AWS Training can significantly increase your chances of earning the certificate.
Yes, AWS offers excellent career opportunities as it is widely adopted by organisations worldwide. As the demand for cloud computing and AWS skills have increased, AWS Certifications lead to lucrative job prospects and career growth. It also provides opportunities for ongoing learning as it continually releases new services and features.
AWS Courses offer numerous benefits, including expanded career opportunities, industry recognition, validating your expertise in cloud computing and providing a competitive edge in the job market. Additionally, AWS Certifications enhance your knowledge, confidence, and access to the AWS community for continuous learning and professional growth.
Choosing AWS Courses from The Knowledge Academy in in Australia offers several advantages to attendees. We provide world-class training sessions from experienced instructors, ensuring quality learning. Obtaining AWS Certifications makes you proficient in a wide range of AWS topics, and you can find suitable options from beginners to advanced users.
Should you encounter any difficulties accessing AWS Certification Course materials, our customer support team is available to assist and promptly resolve any issues you may encounter.
For assistance with your course access issues, please contact our Customer Support Team, who is available 24/7, using the contact information provided on our official website.
The Knowledge Academy in Australia is 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 AWS Certification Courses.
The Knowledge Academy is the Leading global training provider for AWS Certification Training Courses.
The price for AWS Certification Training Courses certification in Australia starts from AUD5695.

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