How is FastAPI used in the SAAI Cricket Intelligence Training Program?

FastAPI is used to teach how analytical logic becomes a reliable backend service. Students organise a project into clear components such as request and response schemas, service functions and route definitions. Pydantic validation is used to reject invalid values and communicate requirements to API users. Learners test endpoints on localhost, inspect automatically generated Swagger documentation, handle errors and verify that responses match the intended cricket logic. They then prepare the application for deployment so that another person or an AI agent can call the service remotely. This structure helps students understand the difference between a calculation written in a notebook and a reusable product component with a stable interface.