GH-300 : GitHub Copilot Certification Exam Preparation
Published 8/2025
Duration: 7h 13m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.73 GB
Genre: eLearning | Language: English
Published 8/2025
Duration: 7h 13m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.73 GB
Genre: eLearning | Language: English
Master GitHub Copilot: AI Coding, Prompt Engineering & GH-300 Exam Prep — Beginner to Pro in AI for Development
What you'll learn
- Understand Responsible AI concepts, risks, and harm mitigation in AI tools
- Identify different GitHub Copilot plans and features and set them up in VS Code
- Use GitHub Copilot Chat, Inline Suggestions, Comment-to-Code, and Slash Commands effectively
- Navigate Copilot CLI for command-line AI assistance
- How GitHub Copilot works and handles data end-to-end
- Apply prompt crafting and prompt engineering techniques for better AI-generated code
- Use Copilot for learning new programming languages, debugging, writing documentation, and modernizing legacy applications
- Leverage Copilot for SDLC management and productivity tracking using the Copilot Productivity API
- Generate and improve unit tests, integration tests, and edge case tests with GitHub Copilot
- Prepare for and succeed in the GH-300: GitHub Copilot Exam
Requirements
- Basic knowledge of programming concepts (any language is fine)
- Familiarity with Visual Studio Code or any IDE
- A GitHub account (free or paid)
- Curiosity to learn and explore AI-powered coding
Description
Supercharge your coding workflow withGitHub Copilot— The AI pair programmer that transforms the way you write, understand, and test code.
In thishands-on GH-300 exam preparation course, you’ll learn everything fromResponsible AI principles to advanced prompt engineering, all while mastering real-world developer workflows with GitHub Copilot in VS Code and theCLI.
We’ll break downhow GitHub Copilot works behind the scenes, teach youprompt crafting techniquesfor better AI output, and show you how to apply Copilot indebugging, writing documentation, generating tests, modernizing applications, and much more.
With practical demos, real-world examples, and targeted exam preparation, you’ll gain both the confidence to pass theGH-300 certificationand the skills to integrate AI coding assistance into your daily development process.
By the end of this course, you'll be able to:
Understand and applyResponsible AIprinciples in AI-assisted coding.
Set up, configure, and useGitHub Copilotin VS Code and the CLI.
UseCopilot Chat, Inline Suggestions, Comment-to-Code, andSlash Commandseffectively.
Masterprompt crafting and engineeringfor accurate AI-generated code.
Leverage Copilot fordebugging, documentation, sample data generation, and modernizing legacy code.
Generate and refineunit, integration, and edge case testswith Copilot.
Explain howGitHub Copilot works and handles datafrom start to finish.
Prepare confidently for theGH-300: GitHub Copilot Examwith exam-focused lessons and hands-on exercises.
Whether you're adeveloper, DevOps engineer, data scientist, or acomplete beginner in AI-assisted coding— this course will give you thesolid foundation and hands-on experienceyou need to work effectively withGitHub Copilotand succeed in theGH-300 certification.
Who this course is for:
- Developers & Software Engineers who want to boost productivity with AI tools
- Students & Beginners aiming to learn GitHub Copilot from scratch
- Tech Professionals preparing for the GH-300 GitHub Copilot Exam
- Freelancers & Teams looking to integrate AI-assisted coding in workflows
- Educators & Trainers who want to teach AI coding assistants effectively
More Info