Exam Details
Microsoft · GH-300
Use GitHub Copilot effectively to improve coding efficiency and development workflows.
Practice with ExamOS for GitHub Copilot. Learn daily with scenario-based questions, timed quizzes, detailed explanations, and exam-style difficulty.
Who is this for?
Level: Beginner to Intermediate. This exam focuses on effectively using GitHub Copilot in real development workflows. While there are no formal prerequisites, Microsoft recommends having basic software development experience and familiarity with an IDE like VS Code. You should understand foundational GitHub concepts such as repositories and commits.
Are you ready?
You are prepared if you can expertly craft prompts, generate and improve code, and utilize Copilot for debugging while applying responsible AI practices instead of relying on it blindly. Test your AI-assisted coding skills with a quick 30-minute practice sprint today!
Overview
The GitHub Copilot (GH-300) certification focuses on using AI-assisted development tools to support modern software engineering workflows. It is designed for developers who want to use Copilot effectively while maintaining code quality and control. The exam covers prompt design, code suggestions, debugging assistance, and best practices for reviewing AI-generated code. Candidates are expected to understand both the benefits and limitations of AI-assisted coding. A key aspect of this certification is practical usage. You will encounter scenarios where Copilot is used to accelerate development, generate boilerplate code, and assist with problem-solving. This certification is particularly relevant for developers, DevOps engineers, and teams integrating AI tools into their workflows. As AI becomes part of everyday development environments, understanding how to use these tools responsibly and effectively is becoming an important skill for software professionals.
FAQ
The exam typically lasts between 100 and 120 minutes. It consists of multiple-choice questions, multiple-response questions, and scenario-based case studies designed to test your practical knowledge of GitHub Copilot in real-world development environments.
To pass the GH-300 exam, you must achieve a scaled score of 700 out of 1000. This score is not a simple percentage of correct answers; rather, it is calculated based on the relative difficulty of the specific questions presented in your exam instance.
The exam content is distributed across seven primary domains to ensure a comprehensive understanding of the tool:
Preparation should include a combination of official Microsoft Learn modules, GitHub documentation, and hands-on practice within an IDE. ExamOS offers scenario-based practice quizzes that build real exam confidence by simulating the types of decision-making challenges you will face during the actual test.
The standard registration fee for the Microsoft GH-300 exam is $165 USD. Prices may vary based on your specific country or region due to local taxes and currency exchange rates. Some organizations or academic institutions may provide vouchers to reduce this cost.
If you do not achieve a passing score on your first attempt, you must wait at least 24 hours before rescheduling. For any subsequent attempts, a 14-day waiting period is mandatory between exams. You are permitted a maximum of five exam attempts within a 12-month period.
The GitHub Copilot certification is valid for one year from the date of passing. To maintain your certified status, you can complete a free online renewal assessment through Microsoft Learn within the six months prior to your certification's expiration date.
This exam is intended for developers, DevOps engineers, and technical leads who want to demonstrate proficiency in AI-assisted workflows. There are no formal prerequisites, though candidates should have a solid foundation in:
Obtaining this certification demonstrates that you are an early adopter of AI-assisted engineering, which can make your workflow more efficient than traditional developers. However, it is not a "silver bullet" for employment. Employers view this as a specialized skill that complements, rather than replaces, core engineering logic and security awareness. Its primary value lies in proving you can leverage AI to reduce technical debt and accelerate delivery without compromising code quality.
After mastering GitHub Copilot, you may want to broaden your expertise in the GitHub ecosystem or AI implementation. Relevant follow-up certifications include: