Use GitHub Copilot across inline, chat, IDE agent mode, Copilot cloud agent, formerly called Copilot coding agent, CLI, GitHub.com, pull-request, Spaces, and MCP workflows with repository and human-review controls.
GitHub Copilot for Agentic Builders is an AcademAI intermediate course in the GitHub Copilot Builders path for learners who want practical AI capability instead of passive tool exposure. It belongs to the Microsoft Copilot Training topic hub. The course includes 5 modules and an estimated workload of 4-5 hours. Start with the free AI Fluency foundation course before checkout; paid membership unlocks full access to this course and the broader catalog. The course is designed for Developers, technical founders, DevOps engineers, students, and Codex-style users who want controlled AI-assisted development.. Learners should expect prerequisites such as Basic Git knowledge; Comfort reading code or technical project files. Core outcomes include Choose among inline suggestions, IDE chat, IDE agent mode, cloud agent, CLI, GitHub.com, and pull-request workflows.; Write repository task briefs and versioned instructions with acceptance criteria, scope, tests, and stop rules.; Apply repository permissions, branch protection, tool boundaries, test evidence, diff review, and maintainer approval.. AcademAI course material is source-informed by public provider documentation where relevant, but the lessons, exercises, scenario mastery tests, and completion certificates are independently written by AcademAI and are not official provider certifications.
Developers, technical founders, DevOps engineers, students, and Codex-style users who want controlled AI-assisted development.
Source-informed by Microsoft Learn and GitHub Copilot documentation; AcademAI adds original agentic builder workflows, testing discipline, and safety gates.
AcademAI certificates show independent course completion and are not official Microsoft, Microsoft 365, GitHub, or Copilot credentials.
This course is part of Microsoft Copilot Training, AcademAI's crawlable guide to the audience, outcomes, prerequisites, source policy, and recommended course sequence for this topic.
Inline suggestions, IDE chat, agent mode, cloud agent, CLI, GitHub.com, pull requests, and Spaces
Task briefs, copilot-instructions, AGENTS.md, scope, acceptance criteria, and review evidence
Protect behavior with focused tests, diff review, branch controls, and maintainer decisions
Separate execution contexts, tool permissions, command boundaries, and approval points
Secrets, content-exclusion limits, dependencies, generated-code review, and recovery
After completing the modules, pass a realistic scenario test to qualify for an AcademAI completion certificate.
Take scenario test