What FastAPI Is and When an API Is the Right Shape
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FastAPI for AI Backend Development
A tested FastAPI backend with typed request and response models, dependencies, error handling, auth boundaries, background work, docs, and an AI-ready service endpoint.
Local Setup, Project Structure, and Running with Uvicorn
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HTTP Basics: Routes, Methods, Status Codes, and JSON
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Path, Query, and Body Parameters
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Pydantic Models for Request and Response Contracts
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Response Models, Error Handling, and API Documentation
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Dependency Injection for Shared Logic and Settings
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Routers, Larger Project Structure, and Service Layers
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Testing FastAPI Endpoints with Fixtures
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Security Boundaries: API Keys, Auth Concepts, and CORS
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Background Tasks, File Uploads, and Async Boundaries
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Database and External Service Boundaries
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AI-Ready API Endpoints with Mock Model Services
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Deployment Readiness: Environment, Containers, Workers, and Monitoring
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Capstone: Tested AI-Ready FastAPI Backend
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First-release boundary
This is a text-first course shell. Leonardo/image creation, image QC, dependency-heavy runtime QA, external review, and learner pilot evidence remain separate later quality steps.