AI For Developers With GitHub Copilot, Cursor AI & ChatGPT

Leverage AI to boost your productivity as a developer: Use GitHub Copilot, Cursor AI and ChatGPT for efficient coding

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Course Overview

About This Course

You’ve probably tried AI coding tools already—gotten a few great snippets, and then hit the frustrating part: the output doesn’t quite fit your codebase, tests are missing, or the “help” creates new bugs. You know there’s real speed here, but you don’t want to trade control and quality for quick suggestions.

In this course, you’ll build a reliable workflow around GitHub Copilot, Cursor AI, and external tools like ChatGPT—so AI supports your engineering judgment instead of guessing for you. You’ll see practical demos, learn how to configure chat to match your needs, and use prompt engineering to get accurate, usable results.

By the end, you’ll be able to move from idea to working code faster: generate and refine implementation code, create unit tests, troubleshoot errors with AI assistance, and keep improving code quality as you iterate—without losing the developer-driven structure that makes projects maintainable.

What You'll Learn

You’ll learn a developer-ready workflow that combines GitHub Copilot, Cursor AI (Composer, chat, smart suggestions), and ChatGPT for planning, coding, testing, and debugging.

  • Copilot coding workflow

    Use GitHub Copilot to write, test, and improve code with AI suggestions, turning routine implementation work into a faster loop while keeping your own standards for correctness and safety.

  • Copilot Chat configuration

    Configure and fine-tune GitHub Copilot Chat for your requirements so the assistant responds with the right context, level of detail, and constraints for your codebase and tasks.

  • Cursor AI generation

    Generate and enhance code with Cursor AI, using its completions and smart suggestions to accelerate edits and refactors while staying aligned with the surrounding project structure.

  • Composer-assisted changes

    Use Cursor AI Composer and chat to coordinate larger multi-file changes, so you can move from intent to coherent implementation without manually stitching together scattered snippets.

  • Prompt engineering essentials

    Write prompts that produce more accurate outputs and fewer dead-ends by being explicit about goals, constraints, and expected formats—so AI results are usable, not just impressive.

  • AI debugging and QA

    Leverage AI tools for error detection, bug fixing, and quality improvements, including generating unit tests and iterating on failing behavior until the code is stable and trustworthy.

Ready to get started?

Prerequisites

  • Basic understanding of programming concepts is required.

  • Familiarity with GitHub is recommended but not required.

  • No prior AI experience is necessary.

Who Is This Course For?

  • Working developers

    You already ship code, but you want AI to make you faster without lowering quality. This course gives you a practical way to integrate AI into your day-to-day development workflow.

  • GitHub Copilot users

    You’ve used Copilot suggestions, but you’re not getting consistent results or you’re unsure how to steer it. You’ll learn how to configure chat and use it effectively for real tasks.

  • AI-curious builders

    You’re excited about AI-driven development and want hands-on experience that goes beyond toy examples. You’ll follow a real project flow and see where each tool actually helps.

Curriculum Overview

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Preview the structure and pacing of this course before you begin.

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Single Course

AI For Developers With GitHub Copilot, Cursor AI & ChatGPT

One Payment. Lifetime Access.

$59$69one-time

  • One-time payment
  • All future updates for this course
  • Downloadable resources & code
  • Certificate of completion
  • Hands-on exercises & projects
  • Self-paced learning
  • English captions on all videos
  • Lifetime access