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

TermSimple Meaning
FrontendThe part of the app you see (HTML/CSS)
BackendThe brain of the app (Server/API)
ModelThe actual AI (e.g., Gemini Pro, GPT-4)
PromptThe text you send to the AI

Think About

Before studying, consider:

  1. When you type into ChatGPT, where does your text go?
  2. 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! 🎭