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Details

This hands-on masterclass takes you on a structured journey of how anyone not just engineers can build credible, AI-powered applications. We’ll break it down into three progressive levels, blending product thinking with AI-assisted coding:

Level 1: Kickoff & First Build

  • Understand how AI is reshaping roles in product building, emergence of “generalist product builders”
  • Explore the AI coding landscape (Lovable, Spark, Github Copilot, Cursor, Claude, , etc.) and know which tool to use when
  • Kickstart your first app in minutes using a browser-based tool like Lovable
  • Connect your project to GitHub and get a codebase/repo you own

Level 2: Local Development & Product Thinking in Code

  • Move from no-code browser tools to local development using Cursor/GitHub Copilot
  • Learn how to think like a product builder translating PRDs, user flows, and UI sketches into working applications
  • Best practices for building: PRDs, rules.md files, logical commits, and structuring your repo, debugging

Level 3: Full-Stack App: From Prototype to Production

  • Go beyond the basics to build a production-ready prototype: Add integrations - databases, OTP authentication, payments, LLM intelligence
  • Deploy with compliant hosting options like Firebase
  • Understand how to scale these skills for different use cases (e-commerce, internal tools, AI-driven apps)

Key Takeaways:

  • A clear understanding of the AI coding tool landscape and how to pick the right one for the job
  • Firsthand experience in moving from idea → prototype → full-fledged app
  • A reusable playbook for prototyping quickly and effectively
  • Best practices for prompting, debugging, integrations that are essential for building real applications
  • The confidence that even with limited coding background, you can ship real applications

Pre-requisites:

  • Github account created using your personal email account
  • Laptop with (1) git, (2) nodejs, (3) VSCode or Cursor installed
Software Security
Product Management
Prototyping
Github
AI Ethics

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