Course details
AI Product Builder
Learn to build a real product with AI tools, around an AI feature. You follow Pantry Pal, a dinner-ideas app, from choosing a problem AI actually fits through prototyping, generating and refining it to testing it with code checks and real users.
Course curriculum
Definition & Scope5 lessons
See the whole AI product creation cycle, then define Pantry Pal before anything is built: a problem worth solving, jobs AI is actually good at, the parts every app has, a scope small enough to ship, and the cost, speed and safety limits that shape the stack.
Prototyping3 lessons
Pick the cheapest prototype that answers your riskiest question, design the screens for the moments the AI is wrong, slow or empty, and run feedback sessions that measure what people do rather than what they say.
Generation4 lessons
Write a build brief an AI builder cannot misread, generate the app in thin working slices with a save point after each, check what comes back against your acceptance checks, and evaluate the AI feature inside your product with a fixed set of test cases.
Refinement3 lessons
Choose between inline suggestions, chat and agents by how much work you hand over, make targeted changes with small, reviewable diffs, and plan new features and structural changes before any code is written.
Collaboration5 lessons
Read enough HTML, CSS, JavaScript, React and Node.js to tell your AI tools exactly what to change and where secrets belong, debug with the browser's DevTools, know what unit, integration and end-to-end tests each catch, and run user tests that show what to fix next.