AI Backend API Engineering

The chapters in this module, in reading order.

#	Chapter
00	Async Python & FastAPI for AI Services — The Five-Year-Old Version
01	Sync vs Async — why one slow spoon can stall the whole kitchen
02	Event Loop and Coroutines — the traffic police of waiting work
03	FastAPI Basics — clean routes for messy AI work
04	Async Endpoints — use async def where waiting matters
05	Streaming Responses — send tokens through the pass window
06	Background Tasks — move long work to the prep shelf
07	Concurrency Patterns — let many tickets move without kitchen fights
08	Error Handling and Retries — fail loudly, retry selectively
09	Cancellation and Timeouts — stop cooking when the table is gone
10	WebSockets and Bidirectional Channels — when both sides need to talk
11	Testing Async Code — trust only what you can await and verify
12	Deployment and Production — run the kitchen without drama
13	Honest admission — what async Python still does not make easy