4 hours ago
Development
[100% OFF] Build a Monetized Production-Ready FastAPI AI App
Master FastAPI to build an AI App. Integrate background AI workers, usage-based pricing, and deploy live to the web
Course Description
In this course, you’ll master Python FastAPI by building an AI Audio Censoring application from scratch.
The curriculum is designed to teach you the big picture of building a production-ready app, combined with modern Agentic Development. The goal isn’t to force you to memorize the exact code; it's to give you the architectural fundamentals so you can apply these skills to any future project.
We’ll start with a solid introduction to Fast API, covering things like the request-response cycle, HTTP methods, and data validation. We start with visual animations to break down core backend concepts before diving into the code.
You won't just learn basic APIs—you will build a production-ready system. You’ll learn how to:
Build async APIs.
JWT authentication.
Handle SQL databases.
Run AI models like OpenAI’s Whisper in background workers.
Scale with Cloud Object Storage and Replicate.
Monetize your app with usage-based pricing using Polar.
Implement third-party auth.
API security, observability and testing.
To tie it all together, we’ll connect a lightweight React frontend so you can see your API in action. Finally, I’ll walk you step-by-step through deploying the entire stack—database, workers, server, and UI—live to the web.
By the time you finish this course, you’ll have a fully functional application, deployed live, ready for real users.
