Prepare for the GitHub Certified Agentic AI Developer (GH-600) certification with comprehensive practice tests designed to assess your knowledge, identify weak areas, and build confidence before the official exam.

This course focuses on realistic, exam-style questions covering the essential concepts and skills required for agentic AI development with GitHub technologies. Whether you're preparing for the GH-600 certification or simply want to validate your understanding of AI-assisted software development, these practice tests provide an effective way to measure and improve your readiness.

WHAT YOU'LL GET

Multiple GH-600 practice tests with exam-style questions
Questions designed to reflect key certification concepts and scenarios
Detailed explanations to reinforce your understanding
Practice across important agentic AI development topics
Opportunities to identify strengths and knowledge gaps
Exam-focused preparation you can repeat as needed
A practical way to measure your progress and readiness
Experience answering questions under exam-like conditions

TOPICS COVERED

Agentic AI concepts and architectures
AI agents and agentic workflows
GitHub Copilot and AI-assisted development
GitHub Copilot coding workflows and capabilities
Prompt engineering and effective AI interactions
Context management and instruction techniques
Building and working with AI-powered development workflows
Tools and integrations used by AI agents
Model Context Protocol (MCP) concepts
Development workflows with GitHub
Testing, debugging, and validating AI-generated code
Security considerations for AI-assisted development
Responsible AI principles and best practices
Human oversight and validation of AI-generated outputs
Common agentic AI development scenarios
Key concepts relevant to the GH-600 certification exam

HOW TO USE THIS COURSE

Start by taking a practice test without referring to documentation or external resources. This will give you a realistic picture of your current knowledge and help you identify areas that require additional study.

After each attempt, carefully review your results. Don't simply memorize the correct answers. Read the explanations and understand why an answer is correct and why the alternatives are incorrect.

Pay particular attention to topics where you consistently make mistakes. Review those concepts, study the relevant GitHub technologies, and then retake the practice tests to measure your improvement.

As your exam date approaches, try completing the tests under timed conditions to improve both your accuracy and time management.

Practice. Review. Improve. Repeat.

The objective of this course is not to provide exam dumps or encourage memorization. It is designed to help you strengthen your knowledge, develop better reasoning for scenario-based questions, and confidently evaluate your readiness for the official exam.

Prepare effectively, strengthen your agentic AI development knowledge, and take the next step toward becoming a GitHub Certified Agentic AI Developer (GH-600)!