


Prepare for the GitHub Certified Agentic AI Developer GH-600 exam with practical, exam-focused practice tests designed for developers and technical learners.
This course helps you test and strengthen your understanding of GitHub Copilot agents, Copilot cloud agent workflows, MCP tools, memory and session management, evaluation, security, guardrails, and responsible AI-assisted development. The questions are designed around realistic scenarios so you can practice how GH-600 concepts may appear in an exam setting.
You will practice single-choice questions covering important GH-600 areas, including how Copilot cloud agent works, how to configure agent environments, how to connect agents to external tools with MCP, how to manage context and memory, how to evaluate agent output, and how to apply governance controls in software development workflows.
Each question includes a correct answer and an explanation to help you understand the reasoning behind the answer. This approach helps you avoid memorizing blindly and instead build a stronger understanding of the concepts behind agentic AI development with GitHub Copilot.
This course is suitable for developers, DevOps engineers, AI engineers, software architects, and anyone preparing for the GH-600 certification exam. It is also useful for technical professionals who want to understand how GitHub Copilot agentic workflows can be used safely, effectively, and responsibly in modern development teams.
By the end of this course, you will be more familiar with the major GH-600 exam domains and more confident in your exam preparation.