The developer skill set is evolving as daily workflows change with AI agents. Be among the first to prove your skills in building intelligent AI-powered workflows with the new Exam GH-600 (beta).
Demonstrate deep expertise in deploying, operating, integrating, and governing AI agents in production SDLC workflows, ensuring reliability, safety, and speed with GitHub as the control plane.
As AI transitions from a coding assistant to a proactive collaborator, the industry is seeing the rise of the "Agentic AI Developer." This Microsoft Reactor session is a dedicated technical roadmap for those preparing for the GitHub Certified: Agentic AI Developer (GH-600) exam.
Learn how to design, deploy, and manage agentic AI systems within the software development lifecycle.
Learn how to design reliable multi-agent systems in GitHub using observable workflows, coordinated artifacts, and safe recovery mechanisms.
Learn how to manage agent memory and state, persist progress across environments, and evaluate agent behavior using clear success signals.
This module covered how to design secure and compliant agent governance using GitHub-native controls, human-in-the-loop approvals, and least-privilege access. It also introduced operational safeguards to improve reliability, accountability, and recovery.
Learn the fundamentals of agentic workflows by building a practical GitHub Skills exercise that showcases how AI agents can reason and act.
Build an AI dream team with agent orchestration. Learn how multiple agents collaborate, coordinate tasks, and solve complex workflows.
