Lab: Serving Machine Learning models using Flask Objectives Expose your machine learning models to client applications using the Flask API Steps Create a Python S2I application for RHODS from a GitHub template Save your model as an independent Python prediction function Test the deployed application endpoint for your prediction function RTODO: Add references to use-cases Serving Machine Learning models Lab: Streaming Data with RedHat OpenShift Streams for Kafka