FastAPI Mastery : Build Modern APIs with Python
Published 6/2025
Duration: 2h 48m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.08 GB
Genre: eLearning | Language: English
https://www.udemy.com/course/fastapi-mastery-build-modern-apis-with-python/
Learn FastAPI from scratch: async APIs, WebSockets, JWT auth, background tasks, AI, testing & real-world projects
What you'll learn
- Build high-performance RESTful APIs using FastAPI
- Create real-time applications using WebSockets
- Handle asynchronous programming and background tasks
- Secure APIs with JWT authentication
- Test FastAPI endpoints and WebSockets
- Deploy FastAPI apps with Uvicorn and Gunicorn
- Integrate AI features into your FastAPI apps
Requirements
- Basic Python knowledge is helpful but not required.
- No prior FastAPI or web framework experience required
- A Laptop or PC
Description
Unlock the full power of modern backend development withFastAPI- 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 buildingproduction-ready, async-powered web applications.
You'll learn everything fromHTTP basicsandRESTful routingto advanced concepts likeWebSockets,background tasks,dependency injection, and evenlightweight AI integrationfor 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 intesting your applicationswith Pytest and deploying them usingUvicorn 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
Who this course is for:
- Python developers who want to build modern, production-ready APIs
- Developers looking to switch from Flask or Django to FastAPI
- Anyone who wants to build plug-and-play API systems with minimal setup
More Info
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