Serve Scikit-Learn Models for Deployment with BentoML

This is a hands-on project on serving your scikit-learn models for deployment with BentoML. By the time you complete this project, you will be able to build logistic regression models for text classification, serve scikit-learn models with BentoML's REST API model server, and containerize model servers with Docker for production deployments.

Prerequisites: In order to successfully complete this project, you should be competent in the Python programming language, be familiar with basic machine learning concepts, and have built predictive models with scikit-learn.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.