Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 4 Minute(s)
Language
English
Rating
Course Overview
GitHub Copilot for Agentic Coding. Use GitHub Copilot AI to generate code, unit tests, + more. (GitHub Copilot 2026)
This course has been completely updated for 2026 and receives monthly updates!
Welcome to the GitHub Copilot course! In this course, you will learn everything you need to know about using GitHub Copilot, the revolutionary AI-powered coding tool that helps developers write and generate code faster and more efficiently.
Whether you're an experienced programmer or just starting out, GitHub Copilot can help you write better code in less time. With its advanced machine learning algorithms, GitHub Copilot can generate anything from code snippets to entire features all in a matter of seconds, making it easier than ever to write clean, concise, and bug-free code.
The highlights of this course include:
Model Context Protocol (MCP) within GitHub Copilot Chat
Generating unit tests and commit messages with GitHub Copilot
Different agent modes (Plan mode, Agent mode, Ask mode, Edit mode, + CUSTOM AGENTS!)
Agent orchestration with Local agents, Cloud agents, Background agents, and Sub agents
Custom slash commands / prompts
GitHub Copilot CLI
Agent instructions + Agent Skills
+ SO MUCH MORE!
We build 2 projects in this course. The first project is a real-world practical project called "Bucks2Bar", a simple web application using html, javascript, and css, that allows users to input income and expenses for each month of the year, plot it to a bar chart, then download that chart as an image. The majority of this project code will be generated using GitHub Copilot and GitHub Copilot chat and will allow us to cover a wide range of Github Copilot features.
The second project will move onto more advanced concepts, where we build a full stack Next JS application. We take a look at how to manage GitHub Copilot Chat across all levels of a development stack, from front end code, to back end code, as well as handling authentication, validation, and database interactions. As we delve into the journey of building these projects with GitHub Copilot and GitHub Copilot chat, we take a look at many different features such as, various ways to provide context to GitHub Copilot Chat, various ways to initialize a new chat, generating unit tests and commit messages with GitHub Copilot, using the GitHub Copilot Chat feature in the GitHub mobile app, refactoring code, detecting security concerns, tips and tricks + more!
All of this code will be generated using GitHub Copilot Chat AI and not a single line of code is typed manually in this course!
This course will guide you through each step of the process, providing practical examples and real-world scenarios to help you master this powerful coding tool. By the end of the course, you'll have the skills and confidence to use GitHub Copilot to improve your coding productivity and take your coding skills to the next level.
So what are you waiting for? Enroll now and discover the power of generating code with GitHub Copilot!
Course Content
- 7 section(s)
- 38 lecture(s)
- Section 1 Introduction and project setup with GitHub Copilot
- Section 2 Exploring More GitHub Copilot Chat Features
- Section 3 GitHub Copilot Chat for full stack app development (agentic coding)
- Section 4 Database interactions with GitHub Copilot Chat
- Section 5 Extras
- Section 6 Role Plays
- Section 7 Course outro
What You’ll Learn
- Turbocharge your productivity and increase your value as a developer with GitHub Copilot, Leverage Model Context Protocol (MCP) within GitHub Copilot Chat, Generate unit tests and commit messages with GitHub Copilot, Efficiently use different agent modes (Plan mode, Agent mode, Ask mode, Edit mode, + CUSTOM AGENTS!), Agent orchestration with Local agents, Cloud agents, Background agents, and Sub agents, Create custom slash commands / prompts, Learn the GitHub Copilot CLI, Create Agent instructions + Agent Skills
Reviews
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KKishore Mothiki
content is clear and discreptive. Very simple to follow the teaching and conversations are very good
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AAlvaro Caceres
The course is very interesting and focused on real-world projects. However, I have some comments: - The presentations lack from visual aids, sometimes the explanations become heavy and complex. - I reached about halfway through the course but struggled to continue. The main challenge was the unpredictability of the AI tools used throughout the lessons. I did receive support from the instructor’s team, who were willing to answer my questions and recommended that I use the same AI model they were using. However I decided to continue just watching the videos.
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WWulf N.
The course provides a thorough introduction to using GitHub Copilot in VS Code, showcasing practical ways AI can enhance programming—often in more complex and versatile ways than expected. For me, it was an excellent starting point for exploring AI-assisted development. As a non-native English speaker, I particularly appreciated the instructor’s clear and easy-to-follow pronunciation. Even though the examples were built in a framework I hadn’t used before (React), this wasn’t a problem. Copilot allowed me to resolve AI-generated coding issues, exactly demonstrating the course’s goal of hands-on learning. A clear area for improvement, from my perspective, is the reliance on SaaS services (DB and Auth). For those unfamiliar with them, integrating these services can be time-consuming, and similar solutions might be implemented faster directly via AI-generated code. Overall, the course delivers on its promises and is highly recommended for both beginners and those looking to explore Copilot’s advanced capabilities. ___ Since this involves AI: Yes, the text was translated by AI into English due to my language skills. But it still reflects my personal assessment of the course.
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SSyed Rizvi
Overall, the course was very helpful, mainly easy to understand and you explained inclear manner. However to be honest i got little confused when you were explaning custom instruction file and promt file use, it would have been more helpful if you could explain with an additional example.
