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GH-300 GitHub Copilot Training
The GH-300 GitHub Copilot Training course is designed to provide developers with a comprehensive understanding of GitHub Copilot, an AI-powered tool that enhances coding efficiency. The course begins with an exploration of responsible AI usage, emphasizing the importance of ethical standards, transparency, and accountability in AI systems. Participants will learn how to apply these principles to ensure that AI-generated code aligns with project-specific requirements and mitigates potential risks. The course covers practical aspects such as setting up and configuring GitHub Copilot, troubleshooting common issues, and using advanced features to generate useful code suggestions.
This course also introduces the concept of prompt engineering, teaching participants how to craft effective prompts to optimize GitHub Copilot's performance.The course concludes with an overview of GitHub Copilot's applications across different programming languages and environments, providing a well-rounded foundation for developers to integrate AI assistance into their daily coding practices.
By the end of this course, learners will be able to:
- Apply responsible AI principles when using GitHub Copilot
- Configure and use GitHub Copilot across development environments
- Write effective prompts for higher‑quality AI‑generated code
- Improve coding speed, consistency, and productivity
- Build a strong foundation for the GH‑300 GitHub Copilot certification
Who should attend GH-300: GitHub Copilot Fundamentals course ?
For Professionals
The course is ideal for professionals who actively write, review, or manage code and want to leverage AI-assisted development including Software Developers, DevOps Engineers, Full-Stack Developer, Backend Developer, Technical Leads, Developers preparing for the GH-300 GitHub Copilot certification
For Businesses
Organizations should nominate roles that directly impact code quality, delivery speed, and engineering productivity. Recommended Roles to Train includes Core Development Teams, DevOps and Platform Engineers, Engineering Leads and Architects.
Prerequisites for the "GH-300: GitHub Copilot Fundamentals" Certification Course
The audience for this 1-day course consists of developers, programmers, software engineers, and coders who want to enhance their coding efficiency, learn about responsible AI usage, and integrate GitHub Copilot into their development workflows. Candidates should have the following:
- Basic understanding of programming concepts and experience with at least one programming language.
- Familiarity with integrated development environments (IDEs) and version control systems like GitHub.
- Foundational knowledge of AI and machine learning principles.
Key Features of Flexmind GH-300 Training
This training is delivered by Flexmind through flexible online and offline formats and is designed to align with the most current certification exam requirements. The key features of this training are as follows:
Course Duration
The course has a total duration of 8 hours and is completed over 1 day.
Instructor-Led Training
Delivered by a senior Microsoft Certified Trainer with real-world, enterprise-scale experience in AI-based coding development.
Microsoft Official Curriculum
Delivered by Flexmind using official Microsoft Curriculum, this program blends study material, hands-on labs, and applied workshops with instructor-led guidance throughout.
Cloud Lab
A cloud-based lab environment is provided during the training.
Course Completion Certificate
Course completion includes certification, formally validating the skills gained and reinforcing professional credibility.
Course Outline
Module 1: Responsible AI with GitHub Copilot
- Understand and apply the principles of Responsible AI usage.
- Identify limitations and mitigate risks associated with AI.
- Learn best practices for ensuring AI-generated code aligns with ethical standards and project-specific requirements.
- Recognize the importance of transparency and accountability in AI systems in building trust and maintain user confidence.
Module 2: Introduction to GitHub Copilot
- Understand how GitHub Copilot can help you code by offering autocomplete-style suggestions.
- Understand the various ways to trigger GitHub Copilot.
- Comprehend the differences among GitHub Copilot Free, Pro, Business, and Enterprise.
- Know how to configure GitHub Copilot.
- Know how to troubleshoot GitHub Copilot.
Module 3: Introduction to prompt engineering with GitHub Copilot
- Learn principles and best practices for crafting effective prompts to optimize GitHub Copilot's performance.
- Understand how GitHub Copilot processes user prompts to generate context-aware responses and code suggestions.
- Explore the data flow for code suggestions and chat, including secure transmission and content filtering.
- Discover the role of Large Language Models (LLMs) in GitHub Copilot and how they influence prompting and responses.
Module 4: Using advanced GitHub Copilot features
- Work with a preconfigured GitHub repository in Codespaces with the GitHub Copilot extension.
- Use interactive features of GitHub Copilot to generate useful suggestions for an existing project.
- Apply advanced GitHub Copilot features to learn more about a new project, write documentation, and create unit tests.
Module 5: GitHub Copilot Across Environments: IDE, Chat, and Command Line Techniques
- How to utilize GitHub Copilot’s auto-suggestions and multiple suggestions pane.
- How to provide context to GitHub Copilot through inline comments, block comments, docstrings, and other types of comments to enhance code generation accuracy.
- Interacting with GitHub Copilot through natural language conversations to generate complex code, debug issues, and obtain code explanations in real-time.
- How to improve the relevance of GitHub Copilot Chat’s suggestions by using scope referencing, slash commands, and agents
- How to interact with GitHub Copilot in CLI to get command explanations, suggestions, and even execute commands based on specific needs.
- How to set up GitHub Copilot CLI configurations, aliases, and manage privacy settings, including opting out of usage data collection.
Module 6: Management and customization considerations with GitHub Copilot
- GitHub Copilot plans and their associated management and customization features.
- The contractual protections in GitHub Copilot and disabling matching public code.
- Managing content exclusions.
- Common problems with GitHub Copilot and their solutions.
Module 7: Developer use cases for AI with GitHub Copilot
- Identify specific ways GitHub Copilot integrates seamlessly into developer workflows, enhancing the overall development experience and supporting individual coding preferences.
- Explore GitHub Copilot's potential impact on different stages of the Software Development Lifecycle.
- Evaluate the limitations of AI-assisted coding and measure its impact on development efficiency.
Module 8: Develop unit tests using GitHub Copilot tools
- Creating unit tests in Visual Studio Code using GitHub Copilot and GitHub Copilot Chat.
- Creating specific unit tests for edge cases and boundary conditions using GitHub Copilot Chat.
- Creating unit test projects and managing unit tests in Visual Studio Code.
- Completing a "create unit tests" challenge and reviewing a possible solution.
Module 9: Introduction to GitHub Copilot Business
- Understand the difference between GitHub Copilot Business versus GitHub Copilot Pro.
- Learn about specific use cases for GitHub Copilot Business and hear how customers are enhancing their productivity.
- Review how to enable GitHub Copilot Business.
Module 10: Introduction to GitHub Copilot Enterprise
- Comprehend the specific features of GitHub Copilot Enterprise
- Understand the differences between GitHub Copilot Enterprise versus Business versus Pro & Free.
- Learn about specific use cases for GitHub Copilot Enterprise and hear how customers are enhancing their productivity.
- Review how to enable GitHub Copilot Enterprise.
Module 11: Using GitHub Copilot with JavaScript
- Configure a GitHub repository in Codespaces and install GitHub Copilot extension.
- Crafted prompts to generate suggestions from GitHub Copilot
- Applied GitHub Copilot to improve your projects.
Module 12: Using GitHub Copilot with Python
- Configure a GitHub repository in Codespaces and install GitHub Copilot extension.
- Crafted prompts to generate suggestions from GitHub Copilot
- Applied GitHub Copilot to improve your projects.
Class Schedule
Instructor‑Led Training
- 8 Hours of Instructor‑Led Training
- One‑to‑one doubt‑resolution sessions
- Microsoft Official Lab Access
Learning Objectives
After completing the GH-300 course, learners will be able to:
- Understand and apply the principles of responsible AI usage.
- Configure and troubleshoot GitHub Copilot in various development environments.
- Utilize GitHub Copilot's features for code suggestions and completions.
- Craft effective prompts to optimize GitHub Copilot's performance.
- Integrate GitHub Copilot into different programming languages and workflows.
- Enhance coding efficiency and productivity with advanced GitHub Copilot techniques.
About GH-300 Certification Exam
To help you understand the assessment better, here are a few important details about the exam.
| Exam Name | GH-300: GitHub Copilot |
|---|---|
| Who should Apply | App Maker, Developer, DevOps Engineer, Technology Manager |
| Duration of Exam | 100 Minutes |
| Fees | Rs. 4,865 (India), $165 USD (United States) |
| Level of Difficulty | Intermediate |
| Type of Credential | Microsoft Certification |
| Languages | English, Japanese, Chinese (Simplified), German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia) |
| Exam Retake | Exam retake allowed after 24 hours |
| Quality Check during Assessment | The online exam is proctored |
The table below represents the weightage of each study area in the exam. Areas with higher percentages are expected to have more questions.
| Study Area | Percentage |
|---|---|
| Use GitHub Copilot responsibly | 15-20% |
| Use GitHub Copilot features | 25-30% |
| GitHub Copilot features | 25-30% |
| Understand GitHub Copilot data and architecture | 10-15% |
| Apply prompt engineering and context crafting | 10-15% |
| Improve developer productivity with GitHub Copilot | 10-15% |
| Configure privacy, content exclusions, and safeguards | 10-15% |
