GitHub Actions has transformed the way teams build, test, secure, and deploy applications directly from GitHub. From simple automation to fully-fledged CI/CD pipelines running on Kubernetes, GitHub Actions enables you to ship software faster, safer, and with confidence.
This hands-on, project-driven course takes you from absolute zero to production-ready CI/CD pipelines using GitHub Actions. You won’t just learn YAML syntax — you’ll implement real-world pipelines involving testing, security scanning, Docker builds, container registries, self-hosted runners, Kubernetes deployments, Helm, Selenium testing, reusable workflows, and custom GitHub Actions.
By the end of this course, you’ll be able to design, build, optimize, and scale CI/CD pipelines the same way modern DevOps teams do in real production environments.
What makes GitHub Actions powerful?
Native CI/CD built directly into GitHub
Event-driven workflows (push, PR, schedule, manual triggers)
Massive Actions marketplace
Managed runners + self-hosted runners
Kubernetes-native scaling with Runner Controllers
Excellent support for modern DevOps and GitOps workflows
This course helps you unlock all of that — step by step.
Special Note
Every concept is taught through real code and real pipelines. You’ll work with hosted and self-hosted runners, set up ARC on Kubernetes and learn patterns used in enterprise DevOps. By the end, you won’t just use GitHub Actions - you’ll run it like it’s done in production.
Course Structure:
GitHub Actions fundamentals
Writing your first workflows
Using marketplace actions & artifacts
Pull request & branch-based workflows
Secrets, environments & conditional logic
End-to-end CI pipeline for a Python application
Reusable workflows at scale
Self-hosted GitHub runners
GitHub runners on Kubernetes (ARC & Scale Sets)
Kubernetes deployments using GitHub Actions
Running Selenium tests in CI
Custom runner images
Helm integration and full delivery pipelines
Creating & publishing custom GitHub Actions
Course Contents:
GitHub Actions architecture
Workflow triggers & events
Multi-job & conditional workflows
Artifacts & job dependencies
Secrets, environments, and permissions
Python CI with unit tests & coverage
CodeQL & SonarCloud integration
Docker image build & registry push
Reusable workflow design patterns
Self-hosted runners & scaling
Kubernetes deployments with manifests
Kubernetes Runner Controller (ARC)
Selenium automation in CI
Custom runner container images
Helm chart lint, package & deploy
Creating and publishing custom GitHub Actions
All sections of this course are demonstrated live, with the goal of encouraging enrolled users to set up their own environments, complete the exercises, and learn through hands-on experience!