The GH-300 GitHub Copilot certification is designed for individuals with experience in software development and proficiency in using GitHub Copilot. The exam will assess technical ability to optimize software development workflows using Copilot, including understanding plans/features, data handling, prompt engineering, responsible AI, testing, privacy, and developer use cases. Prior hands‑on experience with Copilot and coding is beneficial.

The content of the exam will test your ability to perform the following:

• Understand responsible AI usage with Copilot

• Identify and use GitHub Copilot plans and features

• Explain how GitHub Copilot works and handles data

• Apply prompt crafting and prompt engineering techniques



• Demonstrate developer use cases for Copilot

• Use Copilot to assist in testing code and workflows

• Understand privacy fundamentals and context exclusions

For more information about the GH-300 exam, you can check out this exam skills outline. This study guide will provide comprehensive review materials to help you pass the exam successfully.

Study Materials

Before attempting the Microsoft Certified: GitHub Copilot (GH-300), it is highly recommended to review these study materials. These resources are specifically designed to help you grasp the intricate concepts and features addressed in the exam.

1. Microsoft Learn – This website offers a variety of learning paths for different Microsoft certifications. For the GH-300 certification exam, you can focus on the following topics:
   • GH-300 Overview
   • GH-300 official study guide
   • Learning paths and modules related to GH-300
2. GitHub Copilot Documentation – The documents provide overviews, tutorials, how-to guides, features, subscription plans, and data handling information. Focus on the documentation for:
   • Responsible AI
   • Prompt Best Practices
   • Data Workflows
3. GitHub Blog – To stay up‑to‑date on the latest GitHub Copilot features and best practices, subscribe to their blog and specifically follow updates related to AI, prompts, and testing.
4. GitHub FAQs – The GitHub documentation includes comprehensive FAQ sections that answer common questions about GitHub Copilot, including best practices, privacy settings, and subscription plans.
5. GitHub Free Account – The GitHub portal offers free trials and access to a range of Copilot features. Utilize free credits to experiment with Copilot in real coding scenarios. 
6.  Tutorials Dojo’s Azure Cheat Sheets – with the help of our cheat sheets, you can easily understand the information found in the Azure documentation. These are presented in bullet point format to highlight the important concepts.
7. Tutorials Dojo’s GH-300 GitHub Copilot Practice Exams – Coming Soon!

Azure Services to Focus On

Your primary source of information when studying for the GH‑300 exam is the Microsoft Learn documentation and GitHub Copilot feature documents. To comprehend the different scenarios in the exam, you should have a thorough understanding of the following service/feature sets:

• Responsible AI & Ethics – Understand the risks of generative AI, limitations, validation of outputs, fairness, transparency, and bias in the suggestions made by Copilot.

• Copilot Subscription Plans & Features – Understand the differences between Individual, Business, and Enterprise plans. Focus on the features specific to each plan, such as code completion, chat, pull-request summaries, and knowledge bases.

• How Copilot Works & Handles Data – Learn the lifecycle of code suggestions, data pipelines, context windows, filters, and limitations within Copilot.

• Prompt Crafting & Prompt Engineering – Study best practices for writing effective prompts that will generate accurate code completions. Learn how to improve prompts for better accuracy using methods like zero‑shot and few‑shot techniques.

• Developer Use Cases for AI‑Assisted Coding – Learn how Copilot assists with tasks such as code completion, debugging, refactoring, and multi‑language support.

• Testing with Copilot – Learn how to use Copilot to generate unit tests, integration tests, and edge case detection. Understand how to configure your IDE/editor for optimal testing workflows.

• Privacy & Context Exclusions – Learn how to manage content exclusions, control data ownership, turn suggestion collection on/off, and set repository filters for privacy management.

We suggest checking out Tutorials Dojo’s Azure Cheat Sheets, which provide bullet-point summaries of the most essential concepts for various Azure AI services and related Azure functionalities. 

For more Azure practice exam questions with detailed explanations, check out the Tutorials Dojo Portal:

Final Remarks

Success in the GH‑300 exam requires both theoretical knowledge and practical experience with GitHub Copilot. Focus your study efforts on official Microsoft Learn materials, frequently reference GitHub documentation for Copilot features, and engage in hands‑on coding using Copilot across various scenarios (inline suggestions, chat, testing, refactoring). Regularly practice with mock exams and review detailed explanations. With this structured study path, you will be well‑equipped to succeed in the GH‑300 certification exam. Good luck with your preparation!