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 Training 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 for attending the Architecting on AWS - Associate Certification Training.

Architecting on AWS - Associate Certification 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

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Professional DevOps Engineer Training​ Course Outline

Module 1: Introduction to Cloud Computing

  • Overview of Services Pillars
  • Operational Excellence
  • Security
  • Performance Efficiency
  • Cost Optimisation

Module 2: Fundamentals of AWS Services

  • Setting Up and Accessing AWS Account
  • Cloud Compute in AWS
  • Introduction to Elastic Compute Cloud
  • Introduction to VPC
  • Route 53
  • Amazon Relational Database Services
  • Message and Queuing System

Module 3: Identity and Access Management and Working with Secrets in AWS

  • Understanding the Shared Responsibility in AWS
  • IAM Roles, Groups, Users and Policies
  • Integrating Federation with an AWS Account
  • Using AWS Organisations as Part of Guidance
  • Using Cognito With Application Authentication
  • Storing Secrets Securely in AWS

Module 4: Amazon S3 Blob Storage

  • Introduction
  • S3 Concepts
  • S3 Access Controls
  • S3 Access Logs
  • Encryption Options with S3
  • Using S3 Events to Trigger Other AWS Events
  • S3 Batch Operations
  • S3 Replication
  • S3 Versioning

Module 5: Amazon DynamoDB

  • Basics of Amazon DynamoDB
  • Understanding Amazon Dynamo DB
  • Inserting Data in DynamoDB

Module 6: Introduction to DevOps

  • What is DevOps?
  • Why DevOps
  • DevOps Tools
  • DevOps on Cloud
  • DevOps with AWS

Module 7: Understanding CI/CD and SDLC

  • Introduction to SDLC
  • Lifecycle
    • Planning and Requirement Analysis
    • Defining Requirements
    • Designing the Product Architecture
    • Building or Developing the Product
    • Testing the Product
    • Deployment
  • Automatic CI/CD Pipeline
  • CodeCommit in AWS
  • CodeBuild and CodePipeline in AWS
  • Working of CodePipeline in AWS
  • What is Jenkins?
  • Jenkins and AWS?

Module 8: AWS OpsWorks to Manage and Deploy the Stack

  • OpsWorks Essentials
  • OpsWorks Stack Vs OpsWorks Layers
  • OpsWorks Lifecycle
  • Monitoring an OpsWorks Stack

Module 9: Using ElasticBeanstalk to Deploy Applications

  • Introduction to Elastic Beanstalk
  • Benefits of AWS Elastic Beanstalk
  • Deploying an Application on Elastic Beanstalk
  • Introduction to Docker
  • Docker Architecture
  • Docker in AWS
  • Deploying Docker Container with Beanstalk

Module 10: Implement Metrics, Alarms, and Filters by Using AWS Monitoring

  • Identify, Collect, Analyse, and Export Logs
  • Collect Metrics and Logs Using the CloudWatch Agent
  • CloudWatch Alarms
  • Create CloudWatch Dashboard

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Who should attend this AWS Professional DevOps Engineer Training Course?

This AWS Professional DevOps Engineer Training Course is suitable for individuals who aim to enhance their expertise in the field of DevOps Engineering using Amazon Web Services (AWS). This course can be beneficial to various professionals, including:

  • Systems Administrators
  • Technical Support Personnel
  • Software Developers
  • Cloud Architects
  • Solution Architects
  • Operations Professionals
  • Technical Managers

Prerequisites of the AWS Professional DevOps Engineer Training Course

There are no formal prerequisites for attending this AWS Professional DevOps Engineering Course. However, delegates who have had 2 or more years of experience of working with AWS and those with a foundational understanding of IT can benefit from attending this course.

AWS Professional DevOps Engineer Training Course Overview

An AWS DevOps Engineer is critical in an organisation, handling tasks encompassing engineering, coding, operations, and cost-effectiveness. Their primary responsibility is to support continuous delivery and integration processes, utilising data analysis to enhance current practices. In this training, delegates learn how to efficiently build and deliver products using AWS and DevOps practices in their businesses.

In our 2-day AWS Professional DevOps Engineer Training, delegates will gain expertise in minimising software failures and reducing the time required to implement fixes. This training covers using AWS Code Pipeline to automate release pipelines, ensuring swift and dependable updates to applications and infrastructure. Those with strong DevOps Engineering expertise can secure high-paying positions in multinational corporations.

Additionally, delegates will explore Amazon DynamoDB, a powerful tool for creating flexible database tables capable of storing and retrieving vast amounts of data. Our expert trainers will empower delegates with the essential skills to excel in high-profile careers in development and DevOps Engineering.

Course Objectives

  • To teach delegates to recover objects from accidental deletion or overwriting
  • To manage the data traffic of tables over multiple servers
  • To plan the basic project approach and conduct product feasibility studies
  • To compile code and store the artefacts in an Amazon S3 bucket
  • To automate the operational and configuration tasks for distributed apps
  • To create stacks that help manage cloud resources in specialised groups

At the end of this course, delegates will be able to continuously build and test projects by making it easy to integrate changing codes into Jenkins. They will also be able to save dashboards to their favourite list and create multiple dashboards. 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 Professional DevOps Engineer Training Course?

  • World-Class Training Sessions from Experienced Instructors  
  • AWS Professional DevOps Engineer Training 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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Cloud Practitioner Training Course Overview

Module 1: Cloud Overview

  • Cloud Computing and Virtualisation
  • AWS Cloud
  • AWS Platform Architecture
  • Scalability and Elasticity

Module 2: Understand AWS Environment

  • AWS Global Infrastructure
  • AWS Shared Responsibility Model

Module 3: Securing AWS Resources

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

Module 4: Working with AWS Resources

  • AWS Management Console
  • AWS Command Line Interface
  • Cloud Watch
  • CloudTrail
  • Cost Explorer

Module 5: Core Compute Services

  • Deploying Amazon Elastic Compute Cloud Servers
  • Simplified Deployments through Managed Services

Module 6: Core Storage Services

  • Simple Storage Services
  • Amazon Glacier
  • AWS Storage Gateway
  • AWS Snowball

Module 7: Core Database Services

  • Database Models
  • Amazon Relational Database Service
  • DynamoDB

Module 8: Core Networking Services

  • Virtual Private Cloud
  • Route 53
  • CloudFront

Module 9: Automating AWS Workloads

  • Cloud Formation
  • AWS Developer Tools
  • EC2 Auto Scaling

Module 10: Common Use Scenarios

  • Well-Architected Framework

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Who should attend this AWS Cloud Practitioner Training Course?

This AWS Cloud Practitioner Training Course is designed for individuals who are interested in gaining a foundational understanding of cloud computing and Amazon Web Services (AWS). This course can be beneficial to a wide range of professionals, which include the following:

  • Aspiring Cloud Professionals
  • Data Scientists
  • Machine Learning Engineers
  • Developers
  • Business Analysts
  • Business Leaders
  • Entrepreneurs

Prerequisites of the AWS Cloud Practitioner Training Course

There are no formal prerequisites for the AWS Cloud Practitioner Training Course.

 

AWS Cloud Practitioner Training Course Overview

The AWS Cloud Practitioner Training Course by The Knowledge Academy offers a comprehensive introduction to Cloud Computing. Cloud technology has become pivotal for thriving businesses, making this course highly relevant. It equips delegates with the foundational knowledge to navigate the AWS cloud environment effectively.

Proficiency in AWS Cloud is vital for IT Professionals, Developers, and Business Decision-makers. It empowers them to harness the full potential of Cloud Computing, driving innovation, cost-efficiency, and scalability across diverse industries.

This intensive 1-day AWS Cloud Practitioner Training Course helps  delegates gain a deep understanding of AWS cloud services and effective utilisation. In this training, you'll learn to work with AWS resources, understand the core database services, and automate AWS workloads. Our experienced trainers, with a wealth of training expertise, will guide you through this course.

Course Objectives

  • To get in-depth knowledge about Cloud Computing and virtualisation
  • To understand the shared responsibility model for AWS resources
  • To attain knowledge of cost optimisation and analysis using AWS Cost Explorer
  • To utilise Amazon Simple Storage Service (S3) for scalable object storage
  • To explore load balancing techniques using Elastic Load Balancer
  • To use Amazon Relational Database Service (RDS) for managed relational databases

After attending this training course, delegates will be able to deploy and manage Amazon Elastic Compute Cloud (EC2) instances. They will also be able to create and manage Virtual Private Cloud (VPC) environments.

 

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What’s included in this AWS Cloud Practitioner Training Course?

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

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Solutions Architect Training​ Course Outline

Module 1: Introduction to AWS and Cloud Computing

  • Cloud Computing
  • Virtualisation
  • Characteristics of Virtualisation
  • AWS Cloud
  • AWS Platform Architecture

Module 2: Amazon EC2 and Elastic Block Store

  • EC2
  • EC2 Instance

Module 3: Amazon S3 and Amazon Glacier Storage

  • S3
  • Amazon Glacier
  • Other Storage Services

Module 4: Amazon Virtual Private Cloud

  • Introduction
  • Subnets
  • VPC CIDR Blocks
  • Elastic Network Interfaces
  • Internet Gateways and Route Tables
  • Security Groups and Network Access Control Lists
  • Elastic IP Addresses
  • Network Addresses Translation Devices
  • VPC Peering

Module 5: Database

  • Relational Database 
  • Amazon Relational Database Service
  • Amazon Redshift 
  • Nonrelational (NoSQL) Databases 
  • DynamolDB

Module 6: Authentication and Authorisation

  • Introduction
  • IAM Identities

Module 7: CloudTrail, AWS Config, and CloudWatch

  • CloudTrail
  • CloudWatch
  • AWS Config

Module 8: Domain Name System and Network Routing

  • Domain Name System
  • Amazon Route 53
  • Amazon CloudFront

Module 9: Reliability Pillar

  • Calculating Availability
  • EC2 Auto Scaling
  • Data Backup and Recovery
  • Components of Reliability
  • Designing for Availability

Module 10: Performance Efficiency Pillar

  • Optimising Performance for the Core AWS Services
  • Infrastructure Automation

Module 11: Security Pillar

  • Identity and Access Management
  • Detective Controls
  • Protecting Network Boundaries
  • Data Encryption

Module 12: Cost Optimisation Pillar

  • Cost-Optimising Compute
  • Choose the Right Pricing Models

Module 13: Operational Excellence

  • CloudFormation
  • CodeCommit
  • CodeDeploy
  • CodePipeline
  • AWS Systems Manager

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Who should attend this AWS Associate Solutions Architect Training Course?

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

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

Prerequisites of the AWS Associate Solutions Architect Training Course

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

AWS Associate Solutions Architect Training Course Overview

Solution Architects are crucial in building, designing, maintaining, and deploying AWS infrastructure and business applications. Gaining AWS knowledge helps delegates understand networking concepts like network address translation, VPC, and EC2. This AWS Associate Solutions Architect Certification not only showcases expertise in cloud architecture but also enhances professional credibility in a competitive job market.

This AWS Associate Solutions Architect Training is the perfect course for beginners in the IT domain who wish to kickstart their career. Delegates learn to deploy, manage, and operate workloads on AWS and to implement security controls effectively with this course. Mastering this AWS Associate Solutions Architect Certification Course is vital for those looking to contribute to their organisations' digital transformation strategies.

The Knowledge Academy’s 2-day AWS Associate Solutions Architecture Training Course, delegates will delve deep into Amazon Web Services (AWS) and its diverse cloud offerings. This comprehensive training covers key topics such as Amazon's simple storage service, glacier storage, AWS cloud, platform architecture, virtual private cloud, Amazon Redshift, and AWS config.

Course Objectives

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

After completing this training course, delegates will be able to plan, design, and scale AWS cloud computing services. They will also be able to pass the Associate-Level AWS Solutions Architect Certification exam. 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 Associate Solutions Architect Training Course?

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

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Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

AWS Professional Solutions Architect Training​ Course Outline

Module 1: Design for Organisational Complexity

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

Module 2: Design for New Solutions

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

Module 3: Migration Planning

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

Module 4: Cost Control

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

Module 5: Continuous Improvement for Existing Solutions

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

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Who should attend this AWS Professional Solutions Architect Training Course?

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

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

Prerequisites of the AWS Professional Solutions Architect Training Course

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

AWS Professional Solutions Architect Training Course Overview

The AWS Professional Solutions Architect Certification validates delegates' ability to create, deploy, and assess applications on AWS in diverse scenarios.

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

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

Course Objectives

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

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

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

  • World-Class Training Sessions from Experienced Instructors  
  • AWS Professional Solutions Architect Training 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

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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 (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 (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 AWS Big Data 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)

Data Warehousing Training on AWS Course Outline                           

Module 1: Get Started with Data AWS Warehousing

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

Module 2: Working with Cluster

  • Redshift Architecture
  • Creating a Cluster
  • Managing a Cluster
  • Cluster Modification and Performance

Module 3: Development Using Redshift

  • Redshift Architecture
  • Connecting to a Cluster
  • SQL Reference and Statements
  • Creating Table
  • Create View and Grant Command
  • Information Schema

Module 4: Table Design and Database Security

  • Table Design
  • Table Tuning
  • Database Security

Module 5: Loading and Unloading Data

  • Loading and Unloading Data
  • System Tables
  • System Query

Module 6: Workload Management and Visualise

  • Workload Management
  • WLMQ Behaviour
  • Run the Query
  • Visualise

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Who should attend this Data Warehousing Training on AWS Course?

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

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

Prerequisites of the Data Warehousing Training on AWS Course

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

Data Warehousing Training on AWS Course Overview

Data Warehousing is a fundamental aspect of modern data management, facilitating the storage and analysis of vast volumes of information. In this course, participants will delve into the intricacies of data warehousing on the Amazon Web Services (AWS) platform, gaining insights into its significance and application in contemporary business contexts.

Proficiency in Data Warehousing on AWS is crucial for IT Professionals, Data Engineers, Analysts, and Business Intelligence Specialists. Mastery of this subject enables professionals to manage and analyse large datasets efficiently, derive actionable insights, and make data-driven decisions that drive business growth and innovation.

This comprehensive 1-day training by The Knowledge Academy equips delegates with the essential skills and knowledge required to harness the power of AWS for data warehousing purposes. Through hands-on exercises and real-world scenarios, participants will learn to navigate AWS data warehousing services effectively, including Amazon Redshift and Amazon Athena, gaining proficiency in data ingestion, transformation, and querying.

Course Objectives

  • To understand the fundamentals of data warehousing and its significance in modern business environments
  • To explore the AWS ecosystem and its various data warehousing services
  • To learn how to design and implement data warehousing solutions on AWS
  • To gain proficiency in data ingestion, transformation, and storage using AWS tools and services
  • To understand best practices for optimising performance and scalability in AWS data warehousing environments

After completing this course, delegates will receive a certification acknowledging their AWS Data Warehousing proficiency. This certification validates their skills and knowledge and enhances their credibility in the industry, opening up new career opportunities and pathways for professional growth.

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

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

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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 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 Course. However, a basic understanding of robotics and cloud computing would benefit delegates.

AWS RoboMaker Training Course Overview

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

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

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

Course Objectives

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

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

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What’s included in this AWS RoboMaker Training Course?

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

 

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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)

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

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Migrating Applications to AWS Training​ Course Outline

Module 1: AWS Business Essentials

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

Module 2: AWS Technical Essentials

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

Module 3: AWS Migration Strategy

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

Module 4: Application Migration to AWS

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

Module 5: Database Migration to AWS

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

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Who should attend this Migrating Applications to AWS Training Course?

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

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

Prerequisites of the Migrating Applications to AWS Training Course

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

 

Migrating Applications to AWS Training Course Overview

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

As AWS becomes increasingly vital for hosting applications, this training equips IT professionals with the essential knowledge and skills to succeed. Mastery of seamless application migration to AWS is crucial for IT Architects, Cloud Engineers, and System Administrators. This 1-day intensive training empowers delegates with the expertise required for smoothly navigating the complexities of AWS application migration. Under the guidance of certified instructors, delegates will acquire practical experience in assessing, planning, and executing successful application migrations. During the transition, they will also learn essential best practices, tools, and techniques to optimise performance and cost-effectiveness.

Course Objectives

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

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

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

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

Show moredown

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)

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)

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

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.

Show moredown

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 (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.

Show moredown

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 Directory Service Training Course Outline

Module 1: AWS Directory Service

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

Module 2: Setting Up AWS Directory Service

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

Module 3: AWS Managed Microsoft AD

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

Module 4: Active Directory Connector

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

Module 5: IAM Authentication and Access Control

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

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Who should attend this AWS Directory Service Training Course?

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

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

Prerequisites of the AWS Directory Service Training Course

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

AWS Directory Service Training Course Overview

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

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

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

Course Objectives

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

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

Show moredown

What’s included in this AWS Directory Service Training Course?

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

Show moredown

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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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Kafka Training on AWS Course Outline

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

Module 1: Introduction to Amazon MSK (Kafka)

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

Module 2: Operations and Configuration for Amazon MSK

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

Module 3: Security in Amazon MSK

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

Module 4: Troubleshooting for Amazon MSK Cluster

  • Understand Troubleshooting Strategies

Module 5: Migrating Clusters with Amazon Service

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

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Who should attend this Kafka Training on AWS Course?

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

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

Prerequisites of the Kafka Training on AWS Course

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

Kafka Training on AWS Course Overview

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

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

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

Course Objectives

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

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

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

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS CloudFormation Training Course Outline

Module 1: Get Started with AWS CloudFormation

  • Introduction to AWS CloudFormation
  • AWS CloudFormation Features
  • Working of AWS CloudFormation

Module 2: Setting Up

  • Signing in for an AWS Account and Pricing
  • Controlling Access with IAM
  • Logging CloudFormation API Calls
  • AWS CloudFormation Limits
  • Setting Up VPC Endpoint for AWS CloudFormation

Module 3: Continuous Delivery with Code Pipeline

  • Overview of Building a Pipeline for Test and Production Stacks
  • Building a Pipeline for Test and Production Stacks
  • Configure Properties Reference
  • AWS CloudFormation Artifacts
  • Parameter Override Functions with Code Pipeline Pipelines

Module 4: Working with Stacks

  • Creating a Stack Using Console
  • Stack Updates
  • Detecting Unmanaged Configuration Changes to Stack and Resources
  • Exporting Stack Output Values
  • Working with Nested Stacks

Module 5: Working with Template

  • Template Format and Anatomy
  • Template Snippets
  • Custom Resources
  • Template Macros

Module 6: Working with AWS CloudFormation Stack Sets

  • Stack Set Concepts
  • Stack Set Operations
  • Create a New Stack Set
  • Update Stack Set
  • Add Stacks to Stack Set
  • Override Parameters on Stack Instance
  • Delete Stack Instances and Stack Sets

Module 7: Troubleshooting AWS CloudFormation

  • Troubleshooting Errors
    • Delete Stack Fails
    • Dependency Errors
    • Error Parsing Parameter When Passing a List
    • Insufficient IAM Permissions
    • Invalid Value or Unsupported Resource Property
    • Limit Exceeded
    • No Updates to Perform
    • Resource Failed to Stabilize During an Update, Delete Stack Operation or Create
    • Security Group does not Exist in VPC
    • Update Rollback Failed
    • Resource Removed from Stack but Not Deleted

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Who should attend this AWS CloudFormation Training Course?

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

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

Prerequisites of the AWS CloudFormation Training Course

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

AWS CloudFormation Training Course Overview

The AWS CloudFormation Training Course provides a comprehensive understanding of AWS CloudFormation—an essential service for Infrastructure as Code. Managing infrastructure efficiently is crucial, making this course highly relevant.

Proficiency in AWS CloudFormation is vital for Cloud Architects, System Administrators, and Devops Professionals. Mastery in this subject enables them to automate and streamline infrastructure provisioning, making their operations more efficient and cost-effective.

This 1-day training session equips delegates with the skills to create and manage AWS CloudFormation templates effectively. Delegates will learn how to use AWS resources consistently and safely, enhancing their ability to work in dynamic cloud environments. This course empowers professionals with hands-on experience in creating and deploying cloud resources using AWS CloudFormation.

Course Objectives

  • To understand AWS CloudFormation concepts and architecture
  • To create and customise CloudFormation templates
  • To automate infrastructure provisioning and updates
  • To implement best practices for template design
  • To manage stack resources efficiently
  • To troubleshoot and optimise AWS CloudFormation stacks
  • To integrate AWS CloudFormation with other AWS services
  • To ensure security and compliance in stack deployments

After successfully completing this training course, delegates will be well-prepared to harness the power of AWS CloudFormation for streamlined and automated infrastructure management. They will acquire the essential skills required to expedite their cloud-based projects, minimise operational burdens, and boost the scalability and reliability of their applications within the AWS cloud environment.

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What’s included in this AWS CloudFormation Training Course?

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS EC2 with Linux Training Course Outline

Module 1: Get Started with Amazon EC2

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

Module 2: Amazon Machine Images (AMI) 

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

Module 3: Learn Instances 

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

Module 4: Amazon Elastic Inference

  • What is Amazon Elastic Inference?

Module 5: Monitoring 

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

Module 6: Network and Security

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

Module 7: Storage

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

Module 8: EC2 Rescue for Linux

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

Module 9: Troubleshooting

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

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Who should attend this AWS EC2 with Linux Training Course?

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

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

Prerequisites of the AWS EC2 with Linux Training Course

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

AWS EC2 with Linux Training Course Overview

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

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

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

Course Objectives

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

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

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

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

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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 01344203999 or Enquire.

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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 the United Kingdom 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 the United Kingdom 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 training fees for AWS Certification Training Courses in the United Kingdom starts from £2495.
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