Use GitHub Copilot across developer surfaces with repository context, tests, PR workflows, agent mode, MCP, responsible AI, privacy, and secure coding habits.
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 Use GitHub Copilot Chat, inline suggestions, CLI, GitHub.com, and agent workflows deliberately.; Write repository task briefs with acceptance criteria and verification commands.; Use Copilot to support tests, refactors, reviews, and documentation without skipping human review.. 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.
IDE chat, inline completions, GitHub.com, CLI, pull requests, and agent workflows
Task briefs, files to inspect, acceptance criteria, constraints, and review evidence
Use Copilot to support tests, refactors, comments, and PR summaries with human review
Controlled agentic development, tool boundaries, MCP servers, and safe autonomy
Secret handling, content exclusion, licensing awareness, and secure review loops
After completing the modules, pass a realistic scenario test to qualify for an AcademAI completion certificate.
Take scenario test