In this article, you will learn how to train a Scikit-learn classification model, serve it with FastAPI, and deploy it to FastAPI Cloud. Topics we will cover include: How to structure a simple project and train a Scikit-learn model for inference. How to build and test a FastAPI inference API locally. How to deploy the API to FastAPI Cloud and prepare it for more production-ready usage. Train, Serve, and Deploy a Scikit-learn Model with FastAPI Image by Author Introduction FastAPI has become one of the most popular ways to serve machine learning models because it is lightweight, fast, and easy to use. Many machine learning and AI applications use FastAPI to turn trained models into simple APIs that can be tested, shared, and deployed in production. In this guide, you will learn how to train, serve, and deploy a Scikit-learn model with FastAPI.…