MLOps with Red Hat OpenShift

Table of Contents

1. Introduction to MLOps and OpenShift
2. Provisioning an MLOps platform in the Cloud
3. Building Machine Learning Models
4. Embedding ML Models into the Applications
5. Deploying ML Models as a Service
6. Operating ML workloads
7. Building a face detector using the Red Hat ML Platform