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.
Leverage AI to boost your productivity as a developer: Use GitHub Copilot, Cursor AI and ChatGPT for efficient coding
Course Overview
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.
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.
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.
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.
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.
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.
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.
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?
Basic understanding of programming concepts is required.
Familiarity with GitHub is recommended but not required.
No prior AI experience is necessary.
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.
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.
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.
Preview the structure and pacing of this course before you begin.
Choose the option that works best for you.
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Everything we teach. One subscription.
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$4,335+ worth of courses