GitHub Copilot Beginner to Pro - AI for Coding & Development (Udemy)

Our take

GitHub Copilot Beginner to Pro - AI for Coding & Development is a all level GitHub Copilot course from Tom Phillips on Udemy. It runs about 7 hours, and holds 4.5★ from 84,875 students in our Udemy course reviews.

Best for: all level learners who want one guided path through GitHub Copilot. Skip it if: You already work professionally in GitHub Copilot and need advanced architecture patterns.

📘 What you will learn

• Understand the fundamentals of GitHub Copilot and AI-powered software development.
• Set up and configure GitHub Copilot in supported development environments.
• Generate code efficiently using AI-powered code suggestions and prompts.
• Write better prompts to improve code generation accuracy and productivity.
• Use GitHub Copilot to write, explain, and refactor code across different programming languages.
• Identify and fix coding errors with AI-assisted debugging techniques.
• Generate unit tests and improve code quality with GitHub Copilot.
• Use AI tools to understand unfamiliar codebases and accelerate development workflows.
• Apply GitHub Copilot to everyday programming tasks and real-world development projects.
• Follow best practices for reviewing AI-generated code, security, and code reliability.
• Improve developer productivity by automating repetitive coding tasks.
• Develop practical skills to integrate AI-assisted coding into professional software development workflows.

📑 Course content

7 sections · 49 lectures · 7 hours of video · updated 10/2026

1. Getting started — 8 lectures · 1.2h
2. Core foundations — 6 lectures · 0.8h
3. Building real projects — 5 lectures · 0.7h
4. Intermediate techniques — 6 lectures · 0.8h
5. Deep dive & best practices — 7 lectures · 1h
6. Capstone project — 8 lectures · 1.2h
7. Next steps — 9 lectures · 1.3h

🎯 Who it is for

Suits: Complete beginners, career switchers, and self-taught devs who want structure.

Needs: Basic knowledge of programming is helpful but not mandatory. No advanced coding experience is required; beginners are welcome. A computer with internet access. A GitHub account to explore GitHub Copilot features. Visual Studio Code or another supported code editor. Willingness to learn AI-powered coding techniques and improve software development skills. An interest in using artificial intelligence to write, understand, debug, and optimize code.

👤 Instructor

Tom Phillips — Tom is a web developer and instructor with nearly two decades of experience building software and teaching modern development skills. Today, his focus is on agentic engineering, coding with AI, AI-assisted software development, and modern developer workflows. His courses show developers and technical professionals how to use tools like GitHub Copilot and AI coding agents to plan, build, test, debug, and improve software more effectively. Rather than treating AI as a simple autocomplete tool, Tom teaches practical agentic coding workflows that reflect how software development is evolving. From working with AI agents and context to using instructions, skills, tools, automation, testing, and modern full-stack development practices. His courses are fast-paced, practical, and project-based, with a strong focus on real-world skills you can apply immediately. Topics include AI coding, GitHub Copilot, agentic engineering, web development, Next.js, TypeScript, React, and modern software engineering. Tom regularly updates his courses to keep pace with the rapidly changing AI development landscape, helping learners spend less time sorting through outdated information and more time learning how to build faster and work more effectively with AI. Whether you're an experienced developer, learning modern development, or exploring how AI agents and agentic engineering are changing software development, the goal is simple: give you practical, current skills without wasting your time.

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