This learning path demonstrates practical applications of AWS Developer tools and services using a blend of instructional learning and hands-on labs. At the conclusion of this learning path, you will be able to create your own CI/CD environment consisting of services such as CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. Additionally, you'll learn how AWS's IDE service, Cloud9 can be used to maintain and edit your projects source code.
You’ll get to discover how AWS CodeStar can be used to setup and orchestrate the provisioning of each of the aforementioned services. AWS CodeStar enables you to deploy a fully automated CI/CD pipeline, taking care of performing all of the connectivity and configuration needed to wire up each of the individual services together.
This learning path is suited to anyone interested in DevOps and related CI/CD practices. If you're interested in applying and configuring AWS Developer tools and services to setup your own CI/CD environment then this course if for you.
By completing this learning path you will be able to:
- Explain Continous Integration and Continuous Delivery
- Explain and apply AWS CodeCommit, CodeBuild, CodeDeploy, and CodePipeline services.
- Explain and apply AWS CodeStar to automate the setup and deployment of a CI/CD environment
- Explain and apply AWS Cloud9 to author and manage your software projects source code
- Apply Continuous Integration and Continuous Delivery using AWS Developer services
- Setup and configure a fully functional CI/CD environment using AWS CodeStar
Having an understanding of DevOps and related CI/CD practices will help with your assimilation of this content. If you are new to DevOps or CI/CD I suggest completing the "DevOps Fundamentals" Learning Path first.
This learning path includes 2 hours of High Definition video, 3 hands-on labs, and 1 assessment exam.
The source code demonstrated within this learning path can be cloned from the following GitHub repository:
We welcome all feedback so please direct any comments or questions on this course to us at firstname.lastname@example.org
Learning Path Steps
This course introduces the AWS Developer Services for CI/CD learning path.
In this course, you'll learn about DevOps and related practices, in particular, Continuous Integration and Continuous Delivery - or CI/CD for short.
This course introduces AWS CodeCommit and explains how it can be used to manage your source code.
This lab is an overview about the CodeCommit service, it covers how to create a repository, how to connect to a repository and how to manage a repository.
This course will familiarize you with the AWS CodeBuild service and ensure you know when and where to use it within your own software projects.
This course will familiarize you with the AWS CodeDeploy service and ensure you know when and where to use it within your own software projects.
This course will familiarize you with the AWS CodePipeline service and ensure you know when and where to use it within your own software projects.
Follow the application lifecycle from dev to prod: continuous integration, rollbacks and blue/green deployments with AWS Code Services.
This course will familiarize you with the AWS Cloud9 service and ensure you know when and where to use it within your own software projects.
This course introduces you to AWS CodeStar and how it can be used to provision an entire CI/CD workflow using a range of AWS services.
Kickstart your individual and team code projects with AWS CodeStar. Learn to develop and deploy an application with AWS CodeStar.
In this course, we’ll provide a quick review and highlight key points presented within the AWS Developer Services CI/CD learning path.
Exam: AWS Developer Services
About the Author
Jeremy is the DevOps Content Lead at Cloud Academy where he specializes in developing technical training documentation for DevOps.
He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 20+ years. In recent times, Jeremy has been focused on DevOps, Cloud, Security, and Machine Learning.
Jeremy holds professional certifications for both the AWS and GCP cloud platforms.