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.
Applied Learning Project
Across the specialization, you build a portfolio of hands-on deliverables: configure enterprise identity management with SAML SSO and Enterprise Managed Users, set up CI/CD workflows with GitHub Actions including self-hosted runners and encrypted secrets, publish packages through GitHub Packages container and npm registries, and build cloud development environments with Codespaces. In the AI courses, you evaluate foundation models, engineer prompts for code generation with Copilot, and construct AI-augmented testing pipelines. The capstone course requires you to synthesize enterprise administration, Actions automation, security compliance, and AI integration into a production-grade application deployed from a GitHub repository.
