Mastering GitHub
About this course
This 9-course learning path takes you from foundational Git and GitHub skills to building autonomous AI agent systems on the GitHub platform. You begin with repository creation and pull request workflows, then progress through authentication layers including SAML SSO, two-factor authentication, and Enterprise Managed Users. You configure access permissions using the principle of least privilege across enterprise, organization, team, and repository levels. In the platform courses, you build cloud developer workspaces with GitHub Codespaces, automate CI/CD pipelines with GitHub Actions, and manage software distribution through GitHub Packages registries. The AI courses teach you to evaluate and integrate AI models, apply structured prompt engineering with GitHub Copilot, build AI-augmented testing pipelines, and govern AI-generated code in enterprise settings. The specialization culminates in autonomous agent workflows and a production application capstone that synthesizes all skills into a deployable system.
75/100
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- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- creating and managing GitHub repositories
- configuring GitHub authentication and permissions
- automating workflows with GitHub Actions
- building and using cloud developer workspaces
- integrating AI models and leveraging GitHub Copilot
Course objectives
- to develop foundational Git and GitHub skills
- to build advanced workflows integrating AI and software development
- to apply the principle of least privilege across GitHub projects
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