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GitHub Certified: Agentic AI Developer - Mock Exams 2026
New
307 students

GitHub Certified: Agentic AI Developer - Mock Exams 2026

Comprehensive practice exams designed to prepare you for real-world agentic AI developer certification success!
Last updated 5/2026
English

What you'll learn

  • check if you are ready to pass GitHub Certified: Agentic AI Developer exam
  • perform 6 practice tests
  • answer 300 questions
  • review all submitted responses and check explanations

Included in This Course

300 questions
  • Exam #150 questions
  • Exam #250 questions
  • Exam #350 questions
  • Exam #450 questions
  • Exam #550 questions
  • Exam #650 questions

Description

Exam GH-600: Developing in Agentic AI Systems

This course is a comprehensive exam preparation resource designed to help learners systematically prepare for the GitHub Certified: Agentic AI Developer certification. It focuses on building practical understanding of agentic AI systems, tool-using agents, workflow orchestration, and real-world development scenarios aligned with modern AI engineering practices in the GitHub ecosystem.

The course consists of six full-length mock exams, each structured to reflect the style, complexity, and cognitive demands of the actual certification exam. Every exam includes carefully designed multiple-choice questions that test both conceptual understanding and applied skills. The questions are scenario-based, requiring learners to analyze real-world development situations such as configuring agent tools, integrating APIs, managing environment interactions, and selecting appropriate strategies for autonomous or semi-autonomous AI agents.

A key strength of this course is its detailed answer explanations. Each question is accompanied by a clear justification of why the correct option is right and why the other options are incorrect. This helps learners not only memorize answers but also understand underlying principles, improving long-term retention and practical reasoning ability.

The course emphasizes core areas relevant to modern agentic AI development, including tool selection and configuration, reasoning over multi-step workflows, prompt-driven orchestration, and safe execution of AI-driven actions in software environments.

By the end of the course, learners will have significantly improved readiness for the certification exam and a stronger grasp of how agentic AI systems are designed and implemented in real development environments, particularly within workflows supported by platforms such as GitHub and its associated AI tooling ecosystem.


Frequently Asked Questions (FAQ)

Can I retake the practice tests?
Yes! You can take each practice test as many times as you want. After every attempt, you’ll see your final score. To keep things fresh, the questions and answer options are shuffled each time you retake a test.

What score do I need to pass?
A passing score is 70% on each practice test.

Do the questions include explanations?
Absolutely. Every question comes with a clear, detailed explanation to help you understand both the correct answer and the reasoning behind it.

Can I review my answers after finishing a test?
Yes. After completing a test, you can review all your answers and easily see which ones were correct or incorrect.

Are the questions kept up to date?
Yes. The practice questions are regularly updated to ensure they remain accurate, relevant, and aligned with current exam expectations.


Pro tip:
For best results, we strongly recommend taking the practice exams multiple times until you consistently score 90% or higher. Repetition builds confidence and exam readiness. Start your preparation today—and good luck on your exam!

Who this course is for:

  • Agentic AI Developer
  • AI Engineer
  • Machine Learning Engineer
  • MLOps Engineer
  • Software Engineer
  • DevOps Engineer
  • Solutions Architect
  • Data Scientist
  • Cloud Engineer
  • AI Product Engineer