DevOps Engineering on AWS

Enhance your skills with DevOps Engineering on AWS, designed for DevOps engineers seeking to accelerate application delivery and management using AWS cloud technologies.

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Essential Skills Gained

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Use DevOps best practices to develop, deliver, and maintain applications at high velocity on AWS

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Design and implement infrastructure on AWS supporting DevOps projects

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Deploy various environments with AWS CloudFormation and automate CI/CD pipelines

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Monitor applications and environments using AWS tools and technologies

Format

  • Instructor-led
  • 3 days with lectures and hands-on labs.

Audience

  • DevOps engineers
  • DevOps architects
  • Operations engineers
  • System administrators

Description

DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course covers Continuous Integration (CI), Continuous Delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS Cloud Formation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.

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Upcoming Course Dates

July 14-16, 2025

6:30 AM - 2:30 PM

Virtual: Online - US/Eastern

Enroll

$2025

September 15-17, 2025

6:30 AM - 2:30 PM

Virtual: Online - US/Eastern

Guaranteed to Run

Enroll

$2025

November 17-19, 2025

6:30 AM - 2:30 PM

Virtual: Online - US/Eastern

Enroll

$2025

Course Outline

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Module 0: Course overview

  1. Course objective

  2. Suggested prerequisites

  3. Course overview breakdown

Module 1: Introduction to DevOps

  1. What is DevOps?

  2. The Amazon journey to DevOps

  3. Foundations for DevOps

Module 2: Infrastructure Automation

  1. Introduction to Infrastructure Automation

  2. Diving into the AWS CloudFormation template

  3. Modifying an AWS CloudFormation template

  4. Demonstration: AWS CloudFormation template structure, parameters, stacks, updates, importing resources, and drift detection

Module 3: AWS Toolkits

  1. Configuring the AWS CLI

  2. AWS Software Development Kits (AWS SDKs)

  3. AWS SAM CLI

  4. AWS Cloud Development Kit (AWS CDK)

  5. AWS Cloud9

  6. Demonstration: AWS CLI and AWS CDK

  7. Hands-on lab: Using AWS CloudFormation to provision and manage a basic infrastructure

Module 4: Continuous integration and continuous delivery (CI/CD) with development tools

  1. CI/CD Pipeline and Dev Tools

  2. Demonstration: CI/CD pipeline displaying some actions from AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline

  3. Hands-on lab: Deploying an application to an EC2 fleet using AWS CodeDeploy

  4. AWS CodePipeline

  5. Demonstration: AWS integration with Jenkins

  6. Hands-on lab: Automating code deployments using AWS CodePipeline

Module 5: Introduction to Microservices

  1. Introduction to Microservices

Module 6: DevOps and containers

  1. Deploying applications with Docker

  2. Amazon Elastic Container Service and AWS Fargate

  3. Amazon Elastic Container Registry and Amazon Elastic Kubernetes service

  4. Demonstration: CI/CD pipeline deployment in a containerized application

Module 7: DevOps and serverless computing

  1. AWS Lambda and AWS Fargate

  2. AWS Serverless Application Repository and AWS SAM

  3. AWS Step Functions

  4. Demonstration: AWS Lambda and characteristics

  5. Demonstration: AWS SAM quick start in AWS Cloud9

  6. Hands-on lab: Deploying a serverless application using AWS Serverless Application Model (AWS SAM) and a CI/CD Pipeline

Module 8: Deployment strategies

  1. Continuous Deployment

  2. Deployments with AWS Services

Module 9: Automated testing

  1. Introduction to testing

  2. Tests: Unit, integration, fault tolerance, load, and synthetic

  3. Product and service integrations

Module 10: Security automation

  1. Introduction to DevSecOps

  2. Security of the Pipeline

  3. Security in the Pipeline

  4. Threat Detection Tools

  5. Demonstration: AWS Security Hub, Amazon GuardDuty, AWS Config, and Amazon Inspector

Module 11: Configuration management

  1. Introduction to the configuration management process

  2. AWS services and tooling for configuration management

  3. Hands-on lab: Performing blue/green deployments with CI/CD pipelines and Amazon Elastic Container Service (Amazon ECS)

Module 12: Observability

  1. Introduction to observability

  2. AWS tools to assist with observability

  3. Hands-on lab: Using AWS DevOps tools for CI/CD pipeline automations

Module 13: Reference architecture (Optional module)

  1. Reference architectures

Module 14: Course summary

  1. Components of DevOps practice

  2. CI/CD pipeline review

  3. AWS Certification

Labs

  • Using AWS CloudFormation to provision and manage a basic infrastructure

  • Deploying an application to an EC2 fleet using AWS CodeDeploy

  • Automating code deployments using AWS CodePipeline

  • Deploying a serverless application using AWS Serverless Application Model (AWS SAM) and a CI/CD Pipeline

  • Performing blue/green deployments with CI/CD pipelines and Amazon Elastic Container Service (Amazon ECS)

  • Using AWS DevOps tools for CI/CD pipeline automations

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