Build & Ship an AI-Powered Web App
Take a problem from your discipline and ship it as a live, deployed AI web app — a portfolio product that actually gets interviews.
About this course
You'll take a genuine problem from your own field, design a focused AI-powered web app around it, build it fast using AI as your pair-programmer, and deploy it to a public URL anyone can use. The emphasis is on shipping: a real app, live, with an AI feature at its core. The edge it gives you is decisive — a working product you can hand an interviewer beats a stack of finished courses every time. Every lesson moves the build forward, and you walk away with a deployed, live AI web app plus a clean repo and write-up you put at the top of your portfolio.
9 lessons
From Discipline Problem to App Idea
Turn a real pain point in your field into a sharp, buildable app concept with one clear AI-powered feature. You'll produce a one-page product spec — problem, user, core feature, scope — that keeps the build focused.
Choosing a Lean, Shippable Stack
Pick a simple modern stack you can actually finish and deploy, and set up your project and repo. You'll have a running 'hello world' app in version control.
Building Fast with AI as Your Pair-Programmer
Learn to drive an AI coding assistant well — clear asks, reading and verifying its code, debugging together — so you build faster without shipping nonsense. You'll implement your app's first real screen.
Wiring in the AI Feature
Connect your app to an AI API and build the core intelligent feature that makes it worth using. You'll demo the AI feature working end to end inside your app.
Data, State, and Persistence
Add the storage your app needs — saving user input, results, or accounts — without over-engineering it. You'll have data persisting correctly across sessions.
Making It Look Hireable
Apply clean, responsive UI so the app looks like a real product, not a school assignment. You'll deliver a polished, mobile-friendly interface.
Cost, Safety, and Abuse Control
Handle API costs, rate limits, input validation, and basic abuse protection so a public AI app doesn't bankrupt or embarrass you. You'll add guardrails and a cost estimate for real usage.
Deploying to a Live, Public URL
Deploy the app so anyone can use it from a link, with HTTPS and a sensible domain. You'll have a genuinely live product URL.
Capstone: Shipped App + Portfolio Write-Up
Finalize the live app, a clean README, and a short write-up of the problem, the build, and what you learned. This is the interview-magnet portfolio piece — a real product employers can click.