Beginner•13 phases · 5 projects
AI-Native Full Stack Engineering
Build, debug, and ship full-stack applications with MERN, Next.js, and responsible AI workflows.
Curriculum availableExplore syllabus
Practical AI
AI-Powered Developer Workflow
Code Faster. Build Better. Ship Smarter.
Intermediate5 weeks part-timeLive + recorded
Who it’s for: Working developers, junior to mid-level software engineers, freelancers, and coding professionals who already know how to code.
5 weeks part-time. Live sessions + Recorded lessons + Hands-on coding + Real project work.
WEEK 01
AI Mindset for Developers
AI as Your Pair Programmer
- Current uses and limits of AI in software development
- Strengths and serious limitations of AI coding tools
- When to use AI vs when to think yourself
- Setting up a professional AI coding environment
- Overview of tools (Cursor, GitHub Copilot, Claude, ChatGPT, Windsurf, Continue, etc.)
- Prompt engineering fundamentals for developers
Practical output
Optimized AI coding setup + Personal rules for AI usage
What you’ll work toward
What you’ll take with you.
Improve coding, debugging, and code quality with AI while keeping your own understanding and judgement.
- Use AI as a powerful coding assistant (not a crutch)
- Write, refactor, and document code much faster
- Debug and understand unfamiliar code efficiently
- Generate tests, documentation, and boilerplate effectively
- Improve system design and architecture thinking with AI
- Use AI securely (code privacy, intellectual property)
- Build a personal high-performance AI-assisted development workflow
Planning your next step
Explore the syllabus. Keep your questions.
The course outline is available to explore. Enrollment dates, fees, and mentor assignments will be confirmed before registration.
Keep exploring
Other directions to consider.
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Practical AI
Beginner•4 weeks part-time
AI for Students
Use AI to improve your learning, assignments, exam preparation, and projects while staying academically honest.
Curriculum availableExplore syllabus