Lessons 11-15 | Full-Stack Module
AI Products Are API Systems
Deconstruct AI app architecture and make a first model API call while separating product experience from backend mechanics.
Lesson 1145 mincourse modulepaid enrollment
Learning objective
Understand AI products as frontends, servers, providers, and costs.
Lab outcome
Trace an AI request from interface to provider and back.
Module milestone
Build a small full-stack leaderboard with persistent data.
Phase 1
Mission briefing
Before You Study (5 mins)
Lesson focus: ChatGPT feels like magic, but it's actually just two things: A nice website (Frontend) and a smart computer it talks to (API). Today, you will talk to that smart computer directly.
What you should have ready:
- A Google Cloud / Gemini API Key (We'll get this together if needed)
- Your code editor
Quick Concepts
| Term | Simple Meaning |
|---|---|
| Frontend | The part of the app you see (HTML/CSS) |
| Backend | The brain of the app (Server/API) |
| Model | The actual AI (e.g., Gemini Pro, GPT-4) |
| Prompt | The text you send to the AI |
Think About
Before studying, consider:
- When you type into ChatGPT, where does your text go?
- If ChatGPT is just a website, could you build a website that talks to the same AI? (Yes!)
By the End
After this lesson, you'll:
- ✅ Demystify "AI Magic"
- ✅ Make your first real AI API call
- ✅ Realize you can build your own ChatGPT
Let's look behind the curtain! 🎭