GH-300: GitHub Copilot Certification Exam Prep 2026 Hands-On (Udemy.com)
GitHub Copilot GH-300 Prep: Agent Mode, Prompt Engineering, MCP Tools, Testing, AI Coding & VS Code Workflows + CLI
Created by: Ankit Mistry
Last updated September 2026
What you will learn
- Understand GitHub Copilot architecture, plans, and AI-powered features
- Set up and configure Copilot in VS Code, Chat UI, CLI, and MCP environments
- Master Copilot Interaction Modes — Ask Mode, Plan Mode, Edit Mode, and Agent Mode
- Work with built-in Expert Agents for advanced AI workflows and data analysis
- Apply advanced Prompt Engineering techniques for high-quality AI responses
- Understand Responsible AI concepts, risks, validation, and harm mitigation
- Learn how GitHub Copilot processes prompts and handles data internally
- Use Copilot across SDLC workflows including debugging, documentation, modernization, and automation
- Generate unit tests, integration tests, and edge-case testing using AI assistance
- Improve performance, security, and code quality using Copilot suggestions
- Build real projects using Python, Java, CLI tools, and automation workflows
Course Description
Prepare for the GH-300: GitHub Copilot Certification Exam and master AI-powered development with a complete, hands-on training designed for modern developers.
This comprehensive course takes you from beginner to advanced in GitHub Copilot, covering real-world workflows such as prompt engineering, AI interaction modes, testing, debugging, automation, performance optimization, and Responsible AI practices.
You will learn how to use GitHub Copilot as an AI pair programmer inside VS Code, Chat, CLI, and MCP workflows, while understanding how Copilot works behind the scenes — including data handling, limitations, and best practices for safe AI usage.
Unlike basic tutorials, this course focuses on practical development scenarios aligned with the GH-300 certification objectives, including:
Copilot Ask, Plan, Edit, and Agent Mode
Built-in Expert Agents like AI Agent Expert and Data Analysis Expert
Prompt Engineering and Context Optimization
Software Development Lifecycle (SDLC) use cases
Testing strategies, edge-case validation, and code quality improvements
Security analysis and performance optimization
Real-world projects using Python, Java, CLI, and automation workflows
Through structured lessons, quizzes, hands-on coding projects, and exam-focused explanations, you will gain both the confidence to pass the GH-300 exam and the practical skills needed to integrate AI into everyday development workflows.
Whether you are a developer, student, DevOps engineer, or AI enthusiast — this course will help you unlock the full power of GitHub Copilot and future-proof your coding skills.
Instructor Details
- 4.5 Rating
2,660 Reviews
Ankit Mistry
I am Ankit Mistry, with a Master’s degree from IIT Kharagpur specializing in Machine Learning and Artificial Intelligence. I bring over 8 years of industry experience as a Software Developer in a leading private investment bank, along with deep expertise in AI, automation, and cloud technologies.
Over time, I transitioned into full-time teaching, where I focus on practical, real-world skills in AI and cloud computing. My courses are designed to be highly hands-on, helping learners build real projects rather than just understanding theory.
I specialize in teaching:
- AI tools like Claude, Generative AI, and AI Agents
- Automation workflows and real-world AI applications
- Cloud platforms including Azure, and Google Cloud
- Data analysis and machine learning
My latest courses focus on cutting-edge topics like Claude AI, AI automation, and building intelligent agents, ensuring you stay ahead in the rapidly evolving AI landscape.
With over 266,000+ students and thousands of reviews, my goal is to help you gain practical skills that directly impact your career.
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Reviews
By Si Lam on 8/16/2026
Talking too quick and not in clear English. Slow down so people can understand your English!
By Dhivakhar Venkatachalam on 6/30/2026
Use this course for doing general hands on with Github Copilot, but for exam preparation would not recommend it. Please refer the Microsoft foundation trainings that is more than enough. This course content is way too long and most content repetitive. Would suggest cutting down almost half of the course and make this more relevant to the actual certification content.
By Sagar L on 6/6/2026
Excellent course for beginners who want to learn GitHub Copilot from scratch. The lessons are well-structured, practical, and easy to understand, even if you have never used Copilot before. I particularly liked the coverage of prompt engineering, responsible AI, testing, and real-world development scenarios. The course provides a solid foundation while also helping you prepare for the certification exam. Great value for aspiring developers and certification candidates!!!
By Sushant L on 6/6/2026
As a beginner to GitHub Copilot, I found this course extremely easy to follow. The instructor explains concepts in a simple way and gradually builds from the fundamentals to exam-focused topics. The hands-on demonstrations and real-world examples helped me understand how Copilot can be used in daily development workflows. I now feel much more confident about both using GitHub Copilot and preparing for the GH-300 certification exam. Highly recommended for anyone starting their Copilot journey.
By Antonio Blanco Teixeira on 6/4/2026
Es muy buen curso; pero creo que lo que le falta para que sea perfecto es que haya un poco más de profundidad en algunos conceptos vistos a lo largo de curso. También considero que estaría bien añadir algún pdf que contuviese un resumen explicativo de los conceptos que se ven en cada video. Luego añadiría más exámenes de tipo test; (en cada sección del curso) cuyas preguntas sean del mismo estilo que te encontrarías en el examen del certificado de GitHub Copilot GH-300 y a parte añadiría una serie de ejercicios prácticos a mayores donde poner en práctica lo aprendido. Por último decir que a ser posible se actualizaran algunos videos; como por ejemplo el modo "Edit", que este no existe ya que ha quedado totalmente solapado por el modo "Agent"; por el resto decir que el curso es muy bueno, se aprenden muchas cosas y lo recomiendo mucho.
By Sourav Naskar on 6/3/2026
Content and pace was really good. Very helpful course. I would recommend this to others.
By Rohit Sawant on 5/7/2026
Currently completed first 3 videos. For people with no knowledge on using AI to code (vibe coding), this is a great start. Trainer is explaining clearly to the point and not skipping the teaching process or assuming learners might know steps about some process. Great start. Update 1: Completed the course halfway. Lots of new info about how python and its libraries work. Test cases, GitHub Actions and Docker part also explained clearly. Consistent teaching by trainer.
By Alexandre Rivera on 4/20/2026
Everything is great so far! Good explanations and detail on everything :D
By Devdatta Ganar on 3/29/2026
The overall course is good and gives good idea about the certification and things need to be learnt. However, the trainer should have the content ready before recording and only required things should be shown. It would be better if the trainer does not mention 'I do not know what it is' or 'that is new' if some error occurs. Sometimes the trainer thought it was not working but it was actually working. All such things made the videos longer than required, which could have been avoided.
By Rohit Patil on 3/2/2026
this is good course content this is good course content this is good course content this is good course content this is good course content this is good course content this is good course contentn ok
Quality Score
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Overall Score : 90 / 100












