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
View Full Course Review

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.