Every AI application needs a backend API. This course shows you how to build one with FastAPI — AI endpoints, auth, rate limiting, and production deployment.
Free forever · No credit card · No experience needed
from fastapi import FastAPI import anthropic app = FastAPI() client = anthropic.Anthropic() @app.post("/summarize") async def summarize(text: str): resp = client.messages.create( model="claude-opus-4-5", max_tokens=512, messages=[{"role":"user", "content":f"Summarize: {text}"}] ) return {"summary": resp.content[0].text}
The most modern Python web framework. Type hints, auto docs, async support, and 300% faster than Flask. Industry standard for AI backends.
Every endpoint has an AI component: summarize, classify, extract, generate. Not a generic REST course adapted for AI.
Your API goes live at a real URL, documented with Swagger UI, ready for frontend developers to use.
Each day is 60–90 minutes. Self-paced. Start anytime.
HTTP, JSON, REST principles. Why AI apps need a backend API instead of calling AI models directly from the frontend.
Install FastAPI, write your first endpoints, path parameters, request bodies. Auto-generated Swagger docs.
POST /summarize, POST /extract-entities, POST /classify. Full implementation with the Claude API.
API keys, JWT tokens, rate limiting, proper HTTP error codes, request validation. Production-grade patterns.
Deploy to Railway. Configure environment variables. Auto-generate OpenAPI docs. Monitor with health checks.
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The free course gets you started. The bootcamp takes you from capable to confident.
Understand Python basics — functions, dicts, classes. The course explains FastAPI-specific patterns from scratch.
It is the easiest Python web framework. If you know Python, you will pick it up on Day 2.
Railway has a free tier sufficient for this course. Anthropic includes free credits for new accounts.
Yes. All 5 days, forever.