GH-300 GitHub Copilot Training Course
Length
1 day / 1 week
Price
$799
Days
Mon - Fri
Why Choose This Course
GH-300: GitHub Copilot is an instructor-led training course that helps developers and technical teams learn how to use GitHub Copilot responsibly and effectively to accelerate coding tasks, improve productivity, and enhance software quality. The course explores Copilot plans and features across IDEs, chat interfaces, and command line, and explains how Copilot works with context, privacy, and data handling so teams can adopt AI coding assistance in a safe and governed way. It aligns to the Microsoft Certified: GitHub Copilot exam blueprint, covering domains such as responsible AI, prompt engineering, developer use cases, testing with Copilot, and privacy fundamentals.
You will learn practical techniques for crafting effective prompts, configuring Copilot in supported environments, and applying Copilot to common developer workflows such as code generation, refactoring, documentation, and test creation. The course also highlights enterprise considerations, including management features for Copilot Business and Copilot Enterprise, context exclusions, and governance practices that help organizations prepare for secure and compliant usage. By focusing on real-world scenarios and hands-on practice, the training equips teams to integrate Copilot into CI/CD pipelines and collaborative development processes while maintaining coding standards.
This training is relevant for developers, DevOps engineers, administrators, and technology managers seeking exam-aligned content to prepare for GH-300 certification and to operationalize AI-assisted coding responsibly. The course draws on Microsoft Learn’s official Copilot learning paths and domains, ensuring up-to-date skills and exam coverage. A certificate of course attendance is included.
Prerequisites
Exam
Candidates can achieve this certification by passing the following exam(s).
- Exam GH-300: GitHub Copilot.
Books
- GH-300 course material included.
Delivery
- Live virtual online training attend in real-time from anywhere
Skills Gained
- Understand GitHub Copilot plans and features across Individual, Business, and Enterprise tiers
- Configure Copilot in supported IDEs, chat, and command line, and troubleshoot common issues
- Apply responsible AI principles to AI-assisted coding workflows
- Craft effective prompts and apply prompt engineering techniques for precise code suggestions
- Use Copilot to generate, refactor, and document code in multiple languages
- Create unit and integration tests using Copilot tools and patterns
- Manage privacy, context exclusions, and data handling with Copilot
- Integrate Copilot into developer workflows and team collaboration practices
- Apply Copilot in CI/CD and repository-centric scenarios responsibly
- Monitor usage and govern Copilot features in enterprise environments
- Recognize limitations of AI-generated output and validate code quality
Audience
Software developers, DevOps engineers, application administrators, and technology managers adopting AI-assisted coding with GitHub Copilot.
Course Schedule & Pricing
Choose the schedule that fits your life — all options include full course materials & certification support
Full-time immersion for rapid certification readiness.
Balance your career while you upgrade your skills.
Maximum flexibility for busy working professionals.
Outline
- Introduction to GitHub Copilot fundamentals and capabilities
- Responsible AI principles for Copilot adoption
- Copilot plans: Individual, Business, Enterprise; feature comparison
- How Copilot works: context, data handling, privacy considerations
- Setup and configuration in Visual Studio Code and other supported IDEs
- Copilot Chat usage patterns and agent-style interactions
- Command line techniques with Copilot
- Prompt engineering: strategies for effective prompts and context
- Developer use cases: productivity, refactoring, documentation, SDLC integration
- Testing with Copilot: generating unit tests and assertions
- Privacy fundamentals: exclusions, data controls, risk mitigation
- Governance and enterprise management features for Copilot
- Measuring impact: productivity metrics and limits of AI assistance
- Preparing for GH-300 certification: domains and study paths
- Hands-on labs: end-to-end workflow with prompts, chat, and testsTroubleshooting: diagnostics and common configuration issues
- Best practices for validating AI output and maintaining code standards
- Integrating Copilot into team collaboration and repository workflows
- Security considerations and responsible use in production code
- Applying Copilot to documentation and knowledge sharing
- Using Copilot across JavaScript and Python scenarios
Terms & Conditions
Frequently Asked Questions (FAQ's)
What certification does GH-300 align to?
Do I need prior Copilot experience to attend?
What will I learn about prompt engineering?
Our Partnership
Reliable certification testing is vital for validating professional skills in today’s tech-driven world. As a Pearson VUE Authorised Centre, we provide a secure environment for globally recognised IT exams. This partnership ensures convenient access to certifications with the highest standards of integrity and accuracy.
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