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An introduction to building and deploying AI services on Linux with FastAPI. It covers project setup, dependency and environment management, creating inference endpoints, async performance patterns, streaming and background tasks, securing APIs, containerizing with Docker, serving via Uvicorn/Gunicorn and Nginx, monitoring, testing, and CI/CD for reliable, scalable model serving.