
Master Python basics—variables and data types like int, string, boolean, list, dictionary, and tuple—plus functions, classes, and using pip and requests to fetch and post API data.
Explore how APIs enable communication between software systems, return data in json, and use parameters and path variables with rest and WebSocket APIs; learn building rest APIs with FastAPI.
Explore essential api testing tools like postman, curl, swagger, and doc to test, debug, and document fastapi endpoints.
Set up basic http endpoints with fast api, implement get and post requests, use response models and query parameters, and validate with pydantic models while exploring swagger docs for testing.
Build a broadcast websocket endpoint in FastAPI to manage multiple active connections and broadcast messages to all connected clients, testable with Postman, laying the groundwork for a team chat app.
learn to host AI models with Cloudflare AI Workers and FastAPI, configure API tokens and environment variables, and call the hosted models via a REST API for text generation.
Unlock the full power of modern backend development with FastAPI — one of the fastest and most efficient Python web frameworks available today. Whether you're a Python developer, switching from Flask or Django, or completely new to APIs, this course will guide you step-by-step through the world of building production-ready, async-powered web applications.
You’ll learn everything from HTTP basics and RESTful routing to advanced concepts like WebSockets, background tasks, dependency injection, and even lightweight AI integration for real-world use cases. And as we progress, you’ll build projects along the way — helping you cement concepts with hands-on experience and reusable patterns.
You’ll also gain confidence in testing your applications with Pytest and deploying them using Uvicorn and Gunicorn, preparing you to launch your apps in real-world environments.
By the end of this course, you won’t just understand FastAPI — you’ll master it.
What You’ll Learn:
Build modern, high-performance RESTful APIs using FastAPI
Understand and implement async programming in Python
Create real-time applications using WebSockets
Offload workloads using background tasks
Add secure JWT-based authentication
Validate and serialize data using Pydantic models
Write automated unit tests using Pytest
Mock external APIs and test robustly
Deploy FastAPI apps using Uvicorn, Gunicorn, and Docker
Integrate lightweight AI features without high-end hardware