What FastAPI Is and When an API Is the Right Shape
By the end of this module you can say what FastAPI gives you that a script does not, and recognise the problems where an API is the wrong shape and a scheduled job would do.
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
By the end of this module you can set up a FastAPI project with a structure that survives growth, and run it under Uvicorn understanding what the reload flag is really doing.
HTTP Basics: Routes, Methods, Status Codes, and JSON
By the end of this module you can design routes with the right method and status code, and stop returning 200 with an error message inside the body.
Path, Query, and Body Parameters
By the end of this module you can take input as path, query and body parameters, choosing between them on meaning rather than convenience.
Pydantic Models for Request and Response Contracts
By the end of this module you can define Pydantic models that make an endpoint's contract explicit, and let validation reject bad input before it reaches your logic.
Response Models, Error Handling, and API Documentation
By the end of this module you can control exactly what an endpoint returns, raise errors that clients can act on, and get accurate generated documentation as a by-product.
Dependency Injection for Shared Logic and Settings
By the end of this module you can use dependency injection for shared logic, settings and connections - and make an endpoint testable by being able to replace them.
Routers, Larger Project Structure, and Service Layers
By the end of this module you can split a growing API into routers and a service layer, so that business logic is not trapped inside route handlers.
Testing FastAPI Endpoints with Fixtures
By the end of this module you can test endpoints properly with fixtures and an overridden dependency, so tests run without a live database or a paid API call.
Security Boundaries: API Keys, Auth Concepts, and CORS
By the end of this module you can reason about API keys, authentication and CORS as boundaries - and explain why CORS is a browser rule, not a security control.
Background Tasks, File Uploads, and Async Boundaries
By the end of this module you can handle uploads and background work without blocking the event loop, and recognise the blocking call that quietly serialises your whole service.
Database and External Service Boundaries
By the end of this module you can put a database or third-party service behind a boundary your code owns, so a change of provider does not become a rewrite.
AI-Ready API Endpoints with Mock Model Services
By the end of this module you can design endpoints that wrap a model service, using a mock to develop and test the whole path without spending a rupee on inference.
Deployment Readiness: Environment, Containers, Workers, and Monitoring
By the end of this module you can prepare a service for deployment: configuration from the environment, a container that starts predictably, worker counts, and something to look at when it breaks.
Capstone: Tested AI-Ready FastAPI Backend
In this capstone you will ship a tested, documented FastAPI backend with a mocked model service, a passing test suite, and a written account of its security and cost boundaries.
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.