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AWS CodePipeline Step by Step

Name: AWS CodePipeline Step by Step
Rating: 4.6 (1971 reviews)

Learn AWS CodePipeline with GitHub, CodeBuild, CodeDeploy, and DevOps-CI/CD on AWS from an AWS certified expert!

Created byEmre Yilmaz | AWS Certified DevOps Engineer, Solutions Architect, Developer

Last updated 6/2026

English

What you'll learn

Create CI/CD pipelines using AWS CodePipeline to automate your deployments to Amazon EC2, ECS and S3.
Use GitHub repositories, AWS CodeBuild, AWS CodeDeploy with AWS CodePipeline.
Learn AWS CodeDeploy in-place all-at-once, rolling and blue-green deployments with EC2 auto scaling and load balancing.
Build your Docker images With CodeBuild and deploy them to ECS as rolling deployments with CodePipeline.
Use AWS CloudFormation with AWS CodePipeline to create and delete stacks automatically in each execution.
Configure manual approval actions and pipeline notifications on your pipelines.
View AWS CodeBuild build logs and AWS CodeDeploy deployment logs.
Understand how AWS CodePipeline works in detail.

Course content

7 sections • 70 lectures • 10h 50m total length

Course Introduction2:52
Meet the course instructor, Emre Yilmaz, and learn what will be covered in each section of the course briefly.
What is AWS CodePipeline?6:44
An introduction to CI/CD and AWS CodePipeline concepts.
AWS Region Used in the Course0:13
Learn which AWS region you should use while doing the examples.
Creating Your First Pipeline Between S3 Buckets17:48
We will introduce you to the AWS CodePipeline Console. You will create your first pipeline between two Amazon S3 buckets as the source and deploy locations.
We use simple static website content as an example.
Triggering Your Pipeline by Updating Your Source7:30
Learn how to trigger your pipeline by uploading a new version of your website to the source S3 bucket.
Viewing Your Pipeline Details and Execution History11:22
Learn how to view pipeline details and execution history on AWS Management Console.
Editing Your Pipeline & Triggering Manually16:28
You will learn to edit your pipeline by adding a new deploy action.
You will also learn to release a change manually from the AWS CodePipeline Console.
Deleting Your Pipeline7:33
Learn how to delete your pipeline and associated AWS resources created with it.
NEW! Section 1 Quiz

Replacing AWS CodeCommit with GitHub0:50
Regarding the deprecation of AWS CodeCommit and the use of GitHub as an alternative,
A Brief Introduction to Git on CodePipeline6:55
An introduction to Git and how it is used with AWS CodePipeline.
Connecting Your GitHub Account to AWS Developer Tools9:32
You will learn to connect your GitHub accounts to AWS Developer Tools to create pipelines from them later.
You will also learn some Git-related topics:
Initializing your local Git repositories in your project folders
Staging and committing your changes
Creating GitHub repositories and adding them as remote repositories to your local repository
Pushing your commits to GitHub
Creating a Pipeline from Your GitHub Repository10:08
You will learn to create a pipeline triggered from your GitHub repository.
Triggering Your Pipeline with Git Pushes (GitHub)4:47
You will learn to trigger your pipeline with Git pushes. This lecture uses a GitHub repository as the source location, but the example is valid for other Git providers used with CodePipeline.
NEW! Section 2 Quiz
Regarding the Hands-on Examples after Section 20:20

Section 3 Introduction1:04
Learn what will be covered in Section 3.
What is AWS CodeBuild?7:22
An introduction to AWS CodeBuild and its concepts as well as how it is used with CodePipeline.
Preparing a Repository & a Deployment Bucket for Your New Pipeline7:12
In this lecture, you will prepare the GitHub repository and deployment bucket for this section, which will be used in your new pipeline.
Creating a Pipeline with a Build Stage16:37
Learn how to add a build stage to your pipeline with AWS CodeBuild.
You will use the GitHub repository and the deployment bucket you created in the previous lecture as source and deployment locations, respectively.
Creating a Buildspec File for Your Builds15:57
Learn how to provide your build specification and commands with your source code. We use a basic single-page application developed with Angular 9 and Bootstrap 4.
The Lifecycle of a Build7:29
A deep dive into the lifecycle of a build execution on AWS CodeBuild.
Viewing the Logs on Build Failures14:12
Learn how to view your build logs from your CodePipeline action details, on AWS CodeBuild, or CloudWatch Logs.
Why Need Automated Tests in Your Pipelines?6:40
Learn why you should have automated tests on your CI/CD pipelines.
Adding a Test Action with CodeBuild16:55
Learn how to add a test action to your pipeline using CodeBuild and how to provide your test commands with your source code. We use Angular's unit test commands as an example.
NEW! Section 3 Quiz

Section 4 Introduction1:48
Learn what will be covered in Section 4.
What is AWS CodeDeploy?6:58
An introduction to AWS CodeDeploy and its concepts as well as how it is used with AWS CodePipeline.
Creating an IAM Role for EC2 Instances for Deployments5:19
In this lecture, you will understand how EC2 instances work with AWS CodeDeploy theoretically and learn to create an IAM role for your EC2 instances for deployments.
Configuring an EC2 Instance for AWS CodeDeploy15:22
Learn how to configure an Amazon EC2 instance for CodeDeploy deployments.
Creating a CodeDeploy Deployment Group for Tagged EC2 Instances11:16
You will learn how to create an AWS CodeDeploy application and a deployment group for standalone EC2 instances according to their tags.
Adding a CodeDeploy Deploy Action to Your Pipeline4:30
You will learn to add an AWS CodeDeploy deploy action to your pipeline on AWS CodePipeline.
Creating an Appspec File for Deployments to EC2 Instances16:30
You will learn to create a CodeDeploy Appspec file and provide your deployment scripts and configurations with your source code.
The Deployment Lifecycle to EC2 Instances Without a Load Balancer7:18
A deep dive into deployment lifecycle for EC2 instances on AWS CodeDeploy.
Viewing Deployment Logs on Your EC2 Instance5:05
Learn how to view AWS CodeDeploy deployment logs on your Amazon EC2 instance.
Streaming Deployment Logs to CloudWatch Logs10:48
Learn how to stream your CodeDeploy deployment logs from your EC2 instance to Amazon CloudWatch Logs.
Creating a Deployment Group with Auto Scaling & Load Balancing18:11
You will learn to create an AWS CodeDeploy deployment group for an EC2 auto-scaling group behind an application load balancer. You will also learn to update your pipeline configuration on AWS CodePipeline accordingly.
In-Place All-At-Once Deployments With Auto Scaling & Load Balancing8:09
Learn how in-place all-at-once deployments work with auto scaling and load balancing, understand their disadvantages.
What if Your Auto Scaling Group Scales Out?6:26
Learn how your EC2 auto scaling group works with CodeDeploy if you increase your fleet capacity and it launches a new EC2 instance.
In-Place Rolling Deployments With Auto Scaling & Load Balancing12:53
Learn how in-place rolling deployments work with its advantages and disadvantages.
Understand what can happen when there are two versions online with the help of our sample Angular application.
Automated Rollbacks on In-Place Rolling Deployment Failures11:25
Learn how automated rollbacks work with in-place rolling deployments in case of a deployment failure. Understand the advantages and disadvantages with the help of our sample Angular application.
Blue-Green Deployments With Auto Scaling & Load Balancing15:13
Learn what CodeDeploy blue-green deployments are and how they work with auto scaling and load balancing.
What If Your Blue-Green Deployment Fails?9:50
Learn what happens in case of CodeDeploy blue-green deployment failures on auto scaling groups.
NEW! Section 4 Quiz

Section 5 Introduction1:17
Learn what will be covered in Section 5.
Adding a CloudFormation Deploy Action to Your Pipeline12:37
Learn how to add an AWS CloudFormation deploy action to your pipeline to create a stack automatically in each execution. Understand different CloudFormation action options.
We make an example to create a staging environment automatically.
Adding a CodeDeploy Deploy Action for Staging10:48
In this lecture, we add a deploy action to our pipeline to deploy our application revisions to the staging instance created by the CloudFormation deploy action.
Adding a Manual Approval Action to Your Pipeline9:57
Learn how to add a manual approval action to your pipelines between staging and production deployments and where to place it.
Using Action Variables on Your Pipeline10:00
Learn how to use action variable namespaces and variables on your pipeline.
We make an example to get the DNS name of the instance created by the CloudFormation deploy action dynamically in the manual approval action.
Adding a CloudFormation Delete Stack Action to Your Pipeline6:16
Learn how to add a CloudFormation action to your pipeline to delete a stack automatically.
As an example, we add a delete stack action for the staging stack created by the previous CloudFormation deploy action, and place it after the manual approval
Pipeline Execution Modes1:05
Superseded Pipeline Executions10:52
A deep dive into superseeded pipeline executions by triggering three concurrent executions on our pipeline.
Creating Notification Rules on Your Pipeline7:08
Learn how to configure pipeline notifications by creating a notification rule on your pipeline. We use an existing SNS topic as an example.
NEW! Section 5 Quiz

Section 6 Introduction4:36
Learn what will be covered in Section 6.
Introduction to Docker & Amazon ECS for AWS CodePipeline13:35
A brief introduction to Docker & Amazon ECS concepts for our course.
Creating a CodeBuild Buildspec for Docker Builds13:40
Learn to create a CodeBuild buildspec file to build your Docker images and push them to Docker Hub. Also, learn to create a Docker Hub personal access token and provide your credentials as environment variables in your build action to sign in to Docker Hub.
Creating a Pipeline to Build Your Docker Image12:33
Learn to build a pipeline on AWS CodePipeline to build your Docker images with AWS CodeBuild and push them to your Docker Hub user namespace. We will use the buildspec file and the CodeCommit repository we created in the previous lecture.
Secrets Manager Environment Variableson AWS CodeBuild14:07
Learn to use AWS Secrets Manager to store your Docker Hub credentials and access them from your AWS CodeBuild build projects as environment variables. We will cover defining them on your CodePipeline actions and CodeBuild buildspecs.
Parameter Store Environment Variableson AWS CodeBuild12:15
Learn to define your AWS Systems Manager Parameter Store parameters on your AWS CodeBuild build projects as environment variables.
Pushing Docker Images to Amazon ECR with AWS Codebuild15:34
Learn to push your Docker images built by CodeBuild to your private repositories on Amazon ECR. You will learn to edit your buildspec files accordingly.
Creating a Task Definitionfor Your Docker Image7:18
Learn to create an Amazon ECS task definition for the Docker images you push to Amazon ECR with AWS CodePipeline and AWS CodeBuild.
Creating an ECS Cluster for Your Services5:33
Learn to create an Amazon ECS cluster for the ECS resources you will use in our hands-on examples in the following lectures.
Creating an ECS Service on Fargate for Rolling Deployments14:34
Learn to create an Amazon ECS service on AWS Fargate that deploys ECS tasks with containers from the Docker images built by your pipeline.
Adding an Amazon ECS Standard Deploy Action to Your Pipeline17:22
Learn to configure an Amazon ECS standard deploy action on your pipeline to use the direct integration of AWS CodePipeline and Amazon ECS. You will also learn how ECS rolling deployments work with AWS CodePipeline and AWS CodeBuild.
Tagging Docker Images With Commit IDs8:38
Learn to use your Git commit IDs on AWS CodeCommit for tagging your Docker images built by AWS CodePipeline and AWS CodeBuild.
Using ECR Public Gallery in Your Docker Builds10:44
Learn to use Amazon ECR Public Gallery for base Docker images in your Dockerfiles and AWS CodeBuild projects.
What If Your ECS Rolling Deployment Fails?14:15
Learn what happens if a faulty Docker image is built by your pipeline and deployed on Amazon ECS as a rolling deployment by default. We will cover cases when the ECS circuit breaker and automated rollbacks are not enabled.
Enabling Automated Rollbacks on ECS Rolling Deployments12:36
Learn to enable the ECS deployment circuit breaker and automated rollbacks on your Amazon ECS rolling deployments with AWS CodePipeline.
Min & Max Running Tasks in ECS Rolling Deployments13:20
Understand how min running tasks and max running tasks values work on your Amazon ECS rolling deployments with an example.
CRUCIAL! Size Checks Before ASG Capacity Provider Examples0:54
A crucial warning about the ECS task size and container instance sizes before your hands-on practices for Auto Scaling Capacity providers
Creating ECS Services on ASG Capacity Providers for Rolling Deployments10:50
Learn what you need to consider while creating an ECS service performing rolling deployments on an Auto Scaling Group capacity provider instead of Fargate.
ECS Rolling Deployments on Auto Scaling Group Capacity Providers11:37
Learn how ECS rolling deployments work for ECS services on Auto Scaling Group capacity providers and what you need to consider when using them instead of Fargate.

Requirements

Intermediate-level AWS knowledge. It is recommended to have hands-on experience in manual deployments on AWS.
Basic Git knowledge and experience in using Git commands from the command line.
An AWS account which you have administrator privileges. Using an AWS free-tier eligible one is recommended. But there may be slight costs while doing the examples.
Not required, but basic YAML knowledge is recommended for some CodeBuild and CodeDeploy lectures.
We use Linux instances in examples. Hence, basic Linux knowledge is recommended.
A GitHub account for private Git repositories to trigger pipelines.

Description

August 2024 Update: Because AWS CodeCommit was deprecated by AWS, we replaced it with GitHub in Sections 2 and 3!

Would you like to automate your software deployment process on AWS?

Welcome to learn how to create CI/CD pipelines with AWS CodePipeline and automate your deployments to S3, EC2, and ECS from a senior AWS-certified DevOps engineer. You will learn with hands-on examples and detailed explanations!

In this course, you will learn AWS CodePipeline step by step:

Begin with AWS CodePipeline basics by creating a pipeline between two Amazon S3 buckets as the source and deploy locations.
Trigger your pipelines on CodePipeline using GitHub repositories and Git pushes.
Build and test your code automatically with AWS CodeBuild in each pipeline execution. Understand how Code Build works with AWS CodePipeline.
Integrate AWS CodeDeploy with AWS CodePipeline to deploy to Amazon EC2 instances. You will start with a single instance and proceed with multiple instances behind auto-scaling and load balancing. You will also learn different AWS Code Deploy deployment types and configurations, such as in-place rolling and blue-green.
Use AWS CloudFormation with AWS CodePipeline to create and delete stacks automatically in each pipeline execution. You will also learn to define manual approval actions and configure pipeline notifications.

Learn to build your Docker images with AWS CodeBuild and AWS CodePipeline and deploy them to Amazon ECR or Docker Hub automatically. Deploy your Docker containers to Amazon ECS as rolling deployments using the direct integration of AWS Code Pipeline with Amazon ECS.
You will also learn how to check your build and deployment logs in case of failures with examples.

What will you achieve after this course?

✓ You will understand how AWS CodePipeline works in detail.

✓ You will be able to create pipelines on CodePipeline triggered from private GitHub repositories.

✓ You will be able to use AWS Code Pipeline with other AWS developer tools, AWS CodeBuild, and AWS CodeDeploy, to create your CI/CD pipelines.

✓ You will be able to replace your manual deployment processes with automation to avoid human errors and minimize deployment failures.

✓ You will be able to apply one of the core practices of DevOps, Continuous Integration / Continuous Deployment / Continuous Delivery, in your projects on AWS.

Why learn from me?

✓ AWS verified my knowledge and experience at the top level. I am a senior AWS consultant holding AWS Certified Solutions Architect - Professional and AWS Certified DevOps Engineer - Professional certifications in addition to three core Associate-level AWS certificates.

✓ I have a software engineering background, a BS degree in Computer Engineering, and more than 17 years of professional experience in corporates and startups.

✓ I have been using AWS since 2013. I have built dozens of CI/CD pipelines on AWS using AWS Code Pipeline, AWS CodeBuild, and AWS CodeDeploy for my clients and projects.

✓ I learned by doing, and I teach both theory and practice according to the AWS best practices. I explain the features with hands-on examples and why to use them with advantages and disadvantages. So you will benefit from my experience as well as my knowledge.

Is this course for you?

I designed this course for beginners to AWS CodePipeline and assume that you have no or little experience in it.
This course is not for beginners of AWS. You should have intermediate-level AWS knowledge of core services.
Although I provide hands-on examples during the lectures, you should have basic Git knowledge and experience using Git commands from the command line.
I mostly use a basic Angular application in our practices, but you do not need to know Angular for them. We focus on AWS CodePipeline, not on any particular programming language or framework. The techniques taught in this course also apply to others.

I recommend you watch the free previews before enrolling.

Join this course and start learning AWS CodePipeline step by step with hands-on examples!

Who this course is for:

Developers, system administrators or any AWS enthusiasts who would like to learn AWS CodePipeline to create their CI/CD workflows.
Developers, system administrators or any AWS enthusiasts who deploy to Amazon EC2 or S3 and who would like to replace manual deployment processes with automation on AWS in order to avoid human errors.
Developers, system administrators or any AWS enthusiasts who would like to minimize deployment failures on AWS.

AWS CodePipeline Step by Step

What you'll learn

Explore related topics

Course content

Introduction - AWS CodePipeline Basics8 lectures • 1hr 11min

Using Git Repositories as Source Locations6 lectures • 33min

Building Your Code With AWS CodeBuild9 lectures • 1hr 33min

Deploying to EC2 Instances With AWS CodeDeploy17 lectures • 2hr 47min

CloudFormation Deploy Actions, Manual Approvals and Notifications9 lectures • 1hr 10min

Building Docker Images & ECS Rolling Deployments With AWS CodePipeline19 lectures • 3hr 34min

Conclusion2 lectures • 3min

Requirements

Description

Who this course is for: