Master GitHub Copilot for GH-300 Certification: Prompt Engineering, AI Coding and Testing from Beginner to Pro
β±οΈ Length: 7.2 total hours
β 4.79/5 rating
π₯ 2,022 students
π December 2025 update
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- Course Overview
- This “GH-300: GitHub Copilot Complete Exam Preparation Guide” is your definitive pathway to mastering AI-assisted development and achieving the prestigious GH-300 certification. Designed for learners from beginner to seasoned professional, the course provides an immersive experience in prompt engineering, leveraging AI for efficient coding, and robust testing strategies. You’ll move beyond basic code completion to truly harness GitHub Copilot’s full potential, ensuring you’re not just ready for the exam but also equipped with cutting-edge skills for modern software development. Updated in December 2025, the curriculum guarantees the most current insights and best practices, making your learning relevant and impactful in the evolving tech landscape.
- Requirements / Prerequisites
- To get the most out of this course, participants should have:
- A basic understanding of Git and GitHub workflows.
- Familiarity with at least one programming language (e.g., Python, JavaScript, C#).
- An active GitHub account.
- An active GitHub Copilot subscription or trial access.
- A preferred code editor such as Visual Studio Code (VS Code).
- No prior AI coding experience is necessary, as the course builds from foundational concepts.
- To get the most out of this course, participants should have:
- Skills Covered / Tools Used
- This course equips you with a powerful toolkit for AI-driven development:
- Expert Prompt Engineering: Crafting precise and effective prompts for optimal AI code generation, completion, and modification.
- Comprehensive Copilot Features: Utilizing advanced Copilot functionalities including inline suggestions, chat interface, and command-line interactions.
- AI-Assisted Coding Best Practices: Integrating Copilot ethically and efficiently into daily workflows, validating AI-generated code, and understanding its limitations.
- Automated Testing with AI: Generating unit, integration, and end-to-end tests using Copilot to enhance code reliability and coverage.
- AI-Powered Debugging & Refactoring: Leveraging Copilot to identify bugs, suggest fixes, and intelligently refactor code for improved performance and readability.
- Secure Development with Copilot: Applying security-aware practices when using AI tools, mitigating vulnerabilities in generated code.
- Version Control Integration: Seamlessly incorporating AI-generated code within Git and GitHub for collaborative projects.
- Performance Optimization: Using Copilot for insights into code efficiency and speed enhancements.
- Primary Tools: GitHub Copilot, Visual Studio Code, Git, GitHub.
- This course equips you with a powerful toolkit for AI-driven development:
- Benefits / Outcomes
- Completing this guide will provide you with significant professional advantages:
- GH-300 Certification Success: Be fully prepared and confident to pass the GitHub Copilot GH-300 certification exam.
- Boosted Productivity: Significantly accelerate coding, reduce development time, and focus on higher-value tasks.
- Mastery of AI Development: Gain a profound understanding of AI’s practical application across the software development lifecycle.
- Superior Code Quality: Learn to generate cleaner, more efficient, and well-tested code, leading to fewer bugs.
- Enhanced Career Prospects: Elevate your marketability as an expert in AI-assisted coding, a highly sought-after industry skill.
- Advanced Problem-Solving: Develop proficiency in debugging and refactoring using AI, leading to more robust solutions.
- Future-Proofed Skillset: Acquire expertise in cutting-edge development tools that are transforming the tech landscape.
- Ethical AI Application: Understand responsible and secure AI development practices.
- Completing this guide will provide you with significant professional advantages:
- PROS
- Direct Exam Prep: Explicitly tailored for the GH-300 certification exam.
- Comprehensive Coverage: Spans prompt engineering to AI testing, suitable for all levels.
- Practical & Hands-on: Focus on real-world application of GitHub Copilot.
- Up-to-Date: December 2025 update ensures current and relevant content.
- High Quality: Supported by excellent ratings (4.79/5) and student numbers (2,022).
- CONS
- External Cost: Requires an active GitHub Copilot subscription, an additional expense.
Learning Tracks: English,IT & Software,IT Certifications
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