Part 3: Operating ML Workloads

This part covers the operational aspects of MLOps, including building pipelines for training and deployment automation and model serving.

This part has the following chapters:

• Chapter 4, Managing a Model Training Workflow
• Chapter 5, Deploying ML Models as a Service
• Chapter 6, Operating ML Workloads
• Chapter 7, Building a Face Detector Using the Red Hat ML Platform