FastAPI for AI - Build an AI Endpoint in 30 Minutes

Learn to build a FastAPI endpoint for AI applications using Python and Google's Gemini LLM model in this 25-minute tutorial. Set up a complete FastAPI application from scratch, integrate Gemini AI with custom system prompts, and implement essential security features including rate limiting and JWT token authentication. Follow along with the provided GitHub code repository as you create the initial FastAPI app structure, configure AI integration with Gemini, customize system prompts for specific use cases, and run your local development server. Enhance your endpoint's security by implementing rate limiting to prevent abuse and adding JWT-based authentication for user verification. The tutorial covers the complete development workflow from initial setup through deployment-ready security features, making it suitable for developers looking to quickly prototype AI-powered web services with proper authentication and rate limiting safeguards.