GitHub Actions – The Complete Guide Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This comprehensive course guides beginners through GitHub Actions, teaching you to automate CI/CD workflows from start to production. With hands-on projects and real-world examples, you'll learn YAML configuration, testing, containerization, cloud deployment, and performance optimization. The course spans approximately 6 hours of content, designed for developers and DevOps newcomers seeking practical automation skills on the GitHub platform.
Module 1: Introduction to GitHub Actions & Setup
Estimated time: 0.5 hours
- Understanding Actions components: workflows, jobs, steps, and runners
- Setting up your first “Hello World” workflow
- Exploring the GitHub Actions UI and workflow logs
Module 2: Writing Workflows in YAML
Estimated time: 0.75 hours
- Defining workflow triggers: push, pull_request, schedule, workflow_dispatch
- Structuring jobs and steps in YAML
- Using built-in shell and JavaScript actions
- Running commands and scripts in workflow steps
Module 3: Managing Secrets & Variables
Estimated time: 0.75 hours
- Configuring repository and organization-level secrets
- Using environment variables with 'env' and 'with' keywords
- Passing parameters securely between steps and actions
Module 4: Matrix Builds & Parallel Jobs
Estimated time: 1 hour
- Defining job matrices for cross-platform testing
- Testing across multiple versions and environments
- Conditional job execution and result aggregation
Module 5: Docker & Container Workflows
Estimated time: 1 hour
- Building Docker images using docker/build-push-action
- Tagging and pushing images to container registries
- Running containerized tests in workflows
- Implementing multi-stage Docker builds
Module 6: Deployments & Environments
Estimated time: 1 hour
- Creating protected environments with required reviewers
- Managing deployment secrets and approvals
- Deploying to AWS using CodeDeploy
- Deploying to Azure with azure/webapps-deploy
- Integrating with Google Cloud Platform (GCP)
Module 7: Caching, Artifacts & Performance
Estimated time: 0.75 hours
- Speeding up workflows with actions/cache
- Caching dependencies and build outputs
- Uploading and downloading artifacts between jobs
- Optimizing workflow performance
Module 8: Monitoring, Logging & Best Practices
Estimated time: 0.5 hours
- Reading and analyzing workflow logs
- Setting up notifications via Slack and email
- Visualizing workflow runs and failures
- Structuring reusable workflows and composite actions
- Discovering and using community actions
Prerequisites
- Basic understanding of Git and GitHub repositories
- Familiarity with command line and scripting basics
- Knowledge of software development lifecycle concepts
What You'll Be Able to Do After
- Automate CI/CD pipelines using GitHub Actions
- Write and customize YAML workflow files
- Securely manage secrets and environment variables
- Build, test, and deploy containerized applications
- Implement efficient, reusable, and production-ready workflows