Comparison of GitHub Actions with competitors
Deep dive into workflow syntax, triggers, and job configuration
Explore matrices, reusable workflows, and composite actions
•Runner Types and Execution Environments
•Persisting Build Outputs with Artifacts
•Controlling GitHub Permissions
•Authenticating to Third-Party Systems
•Matrix Strategies, Conditionals, and Concurrency Controls
Discover and integrate community actions from the GitHub Marketplace
Build custom JavaScript and Docker actions from scratch
•JavaScript and TypeScript Actions
Optimize logs, secrets, environments, and permissions for teams
•Developer Experience (Actions)
Harden workflows with security, reliability, and cost-saving techniques
•Maintainable Workflow Patterns
Apply course concepts by automating a real-world deployment pipeline
Modern CI/CD tooling did not appear overnight. It emerged from decades of iteration on how software is written, tested, and delivered. Understanding that history will help you appreciate where GitHub Actions fits and why its design choices matter.
Before 2000, most teams relied on manual testing, often on production-like desktops, to verify releases. As release cadence accelerated, manual testing became unsustainable. Continuous integration (CI) tooling solved that gap by automatically building and testing every commit as it landed in version control, surfacing regressions within minutes instead of days or weeks.
Although GitHub Actions arrived late, its proximity to where code already lives made adoption skyrocket. For many teams, no extra accounts or runners are required; you can start automating workflows within minutes.
In the next lessons we will compare GitHub Actions with other options, then dive into the platform’s core concepts so you can start authoring your own pipelines.