Build Scalable Backends with FastAPI: Python Power for AI & Web | GenAI with SIMI
Looking to build fast, scalable, and production-ready backends with Python? 🚀 Whether you're building a web platform or AI-driven API, this episode walks you through how to architect bulletproof services using FastAPI, async Python, and CI/CD—without the guesswork.
In this podcast, we explore how to build robust, scalable backend systems in Python for modern web and AI applications. Starting from core programming concepts like Object-Oriented Programming (OOP) and asynchronous I/O (asyncio), we walk you through choosing the right web framework—Django vs Flask vs FastAPI—and why FastAPI is the go-to for high-performance services.
Learn hands-on how to:
Set up a backend using FastAPI + SQLAlchemy + Alembic
Implement JWT-based authentication for secure APIs
Establish automated CI/CD pipelines with Docker + GitHub Actions
Write scalable, testable, and asynchronous Python code
Whether you're an AI developer or a backend engineer, this guide equips you with production-grade patterns and practices for real-world deployments.
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