Become an AI engineer

GitHub

GitHub is a unit of 24 lessons in Rabbithole's Become an AI engineer course, at levels 3 to 4.

Lessons

1. GitHub Account TypesLevel 3
2. Getting started with GitHubLevel 3
3. GitHub Mobile: What It Needs Before It WorksLevel 3
4. Markdown: writing text that displays like a web pageLevel 3
5. RepositoriesLevel 3
6. Git basics: tracking, cloning, authenticating and protecting branchesLevel 3
7. Pull requests: merging, approving and review effortLevel 3
8. Deploying to Azure App Service with GitHub ActionsLevel 3
9. GitHub Actions: who reads what, and who may assume your cloud roleLevel 3
10. GitHub Codespaces: open it, run it, keep usage lowLevel 3
11. Agent Plugins: install, name and govern themLevel 3
12. CODEOWNERS: who reviews whatLevel 3
13. Copilot code referencing: when suggestions match public codeLevel 3
14. Merge Queue: getting a pull request in, and why it gets taken outLevel 3
15. Repository RulesetsLevel 3
16. Semantic Code Search: Index Your Repo, Then AskLevel 3
17. Artifact attestations: build, prove, manageLevel 4
18. Administering Copilot for an EnterpriseLevel 4
19. Custom GitHub Actions: versions and portabilityLevel 4
20. Dependency CachingLevel 4
21. GitHub Actions larger runners: static IPs and accessLevel 4
22. Reusable WorkflowsLevel 4
23. Migrating to GitHub-Hosted RunnersLevel 4
24. Stacked Pull Requests with gh stackLevel 4

Sources

These lessons draw on 12 sources. The most used:

• GitHub Docs — Actions
• GitHub Docs — Repositories
• GitHub Docs — Get Started and Git Basics
• GitHub Docs — Copilot
• GitHub Docs — Pull Requests
• Devin documentation
• GitHub Docs — Codespaces
• Antigravity CLI, IDE, SDK and customisation docs

All units in Become an AI engineer