Featured resource
pluralsight tech forecast
2025 Tech Forecast

Which technologies will dominate in 2025? And what skills do you need to keep up?

Check it out
Hamburger Icon

AWS Authorized Training Course - DevOps Engineering on AWS

Course Summary

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 CloudFormation 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.

Prerequisites:

We recommend that attendees of this course have:

  • Previous attendance at the Systems Operations on AWS or Developing on AWS courses
  • Working knowledge of one or more high-level programing languages, such as C#, Java, PHP, Ruby,
    Python
  • Intermediate knowledge of administering Linux or Windows systems at the command-line level
  • Two or more years of experience provisioning, operating, and managing AWS environments

THIS COURSE IS NOT ELIGIBLE FOR TRAINING BUNDLES.

Purpose
To develop, deliver, and maintain applications and services at high velocity on AWS
Audience
This course is for DevOps engineers, DevOps architects, Operations engineers, System administrators and Developers.
Role
DevOps Engineers | DevOps Architects | Software Developers | System Administrators | Operations Engineers 
Skill Level
Intermediate
Style
Presentations | Group Exercises | Hands-on Labs
Duration
3 Days
Related Technologies
Amazon Redshift | Cloud Computing Training | AWS | CI/CD

 

Course Objectives
  • Utilize DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AWS
  • List the advantages, roles and responsibilities of small autonomous DevOps teams
  • Design and implement an infrastructure on AWS that supports DevOps development projects
  • Leverage AWS Cloud9 to write, run and debug your code
  • Deploy various environments with AWS CloudFormation
  • Host secure, highly scalable, and private Git repositories with AWS CodeCommit
  • Integrate Git repositories into CI/CD pipelines
  • Automate build, test, and packaging code with AWS CodeBuild
  • Securely store and leverage Docker images and integrate them into your CI/CD pipelines
  • Build CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, and container-based applications
  • Implement common deployment strategies such as "all at once," "rolling," and "blue/green"
  • Integrate testing and security into CI/CD pipelines
  • Monitor applications and environments using AWS tools and technologies

What You'll Learn:

In the AWS Authorized Training Course - DevOps Engineering on AWS training course, you'll learn:

Day 1

  • Module 0: Course Overview
    • Course objective
    • Suggested prerequisites
    • Course overview breakdown
  • Module 1: Introduction to DevOps
    • What is DevOps?
    • The Amazon journey to DevOps
    • Foundations for DevOps
  • Module 2: Infrastructure Automation
    • Introduction to Infrastructure Automation
    • Dive into the AWS CloudFormation template
    • Modify an AWS CloudFormation template
    • Demonstrate the AWS CloudFormation template structure, parameters, stacks, updates, importing resources, and drift detection
  • Module 3: AWS Toolkits
    • Configure the AWS CLI
    • AWS Software Development Kits (AWS SDKs)
    • AWS SAM CLI
    • AWS Cloud Development Kit (AWS CDK)
    • AWS Cloud9
    • Demonstrate the AWS CLI and AWS CDK
    • Use AWS CloudFormation to provision and manage a basic infrastructure Lab
  • Module 4: Continuous Integration and Continuous Delivery (CI/CD) with Development Tools
    • CI/CD Pipeline and Dev Tools
    • Demonstrate the CI/CD pipeline displaying some actions from AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline
    • Deploy an application to an EC2 fleet using AWS CodeDeploy Lab
Day2
  •  
    • AWS CodePipeline
    • Demonstrate the AWS integration with Jenkins
    • Automate code deployments using AWS CodePipeline Lab
  • Module 5: Introduction to Microservices
    • Introduction to Microservices
  • Module 6: DevOps and Containers
    • Deploy applications with Docker
    • Amazon Elastic Container Service and AWS Fargate
    • Amazon Elastic Container Registry and Amazon Elastic Kubernetes service
    • Demonstrate the CI/CD pipeline deployment in a containerized application
  • Module 7: DevOps and Serverless Computing
    • AWS Lambda and AWS Fargate
    • AWS Serverless Application Repository and AWS SAM
    • AWS Step Functions
    • Demonstrate the AWS Lambda and characteristics
    • Demonstrate the AWS SAM quick start in AWS Cloud9
    • Deploy a serverless application using AWS Serverless Application Lab
    • Model (AWS SAM) and a CI/CD Pipeline
  • Module 8: Deployment Strategies
    • Continuous Deployment
    • Deployments with AWS Services
  • Module 9: Automated Testing
    • Introduction to testing
    • Tests: Unit, integration, fault tolerance, load, and synthetic
    • Product and service integrations
Day 3
  • Module 10: Security Automation
    • Introduction to DevSecOps
    • Security of the Pipeline
    • Security in the Pipeline
    • Threat Detection Tools
    • Demonstrate the AWS Security Hub, Amazon GuardDuty, AWS Config, and Amazon Inspector
  • Module 11: Configuration Management
    • Introduction to the configuration management process
    • AWS services and tooling for configuration management
    • Hands-on lab: Performing blue/green deployments with CI/CD pipelines and Amazon Elastic
    • Container Service (Amazon ECS)
  • Module 12: Observability
    • Introduction to observability
    • AWS tools to assist with observability
    • Use AWS DevOps tools for CI/CD pipeline automations Lab
  • Module 13: Reference Architecture (Optional)
    • Reference architectures
  • Module 14: Course summary
    • Components of DevOps practice
    • CI/CD pipeline review
    • AWS Certification
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

Dive in and learn more

When transforming your workforce, it's important to have expert advice and tailored solutions. We can help. Tell us your unique needs and we'll explore ways to address them.

Let's chat

By filling out this form and clicking submit, you acknowledge our privacy policy.