Build Production-Grade APIs with FastAPI
FastAPI is a modern Python web framework built on ASGI and Pydantic — it delivers native async support, automatic OpenAPI documentation, and type-safe request validation out of the box. It has become the default choice for teams building high-performance backend services, data pipelines, and microservices that need both speed and correctness. This track covers everything from your first route to operating a multi-tenant SaaS platform at scale.
What You Will Learn
You will handle request bodies and response schemas with Pydantic, implement OAuth2 and JWT authentication, and integrate both SQL databases and MongoDB with Beanie. From there you will move into advanced dependency injection, API versioning and contract design, WebSocket connections, background task queues with Celery, and file streaming. Advanced topics include asynchronous programming in depth, microservices and API gateway patterns, event-driven architecture with Kafka and Pulsar, GraphQL APIs with Strawberry, observability with structured logging and distributed tracing, security hardening, and multi-tenant SaaS architecture.
The Learning Path
Twenty-one courses span A1 through C2. The track opens with FastAPI Core Fundamentals (free, A1) and moves through B1 topics — authentication, NoSQL integration, and advanced Pydantic modeling — into B2 territory covering SQL integration, testing, deployment, and real-time APIs. The C1 tier raises the level to performance and caching, microservices patterns, and event-driven systems with Kafka. The track closes at C2 with Security Hardening and Threat Mitigation and Multi-Tenant SaaS Architecture on FastAPI, which are genuinely senior-level subjects.
How It Works
Each course is split into short, hands-on lessons you complete in the built-in code editor with real-time feedback. An AI tutor is available whenever you get stuck, so you can work through tricky async patterns or JWT edge cases without leaving the app.
