Define the value and components of MLOps.
Implement data pipelines, model registries, observability and triggering, and version control.
Build MLOps components using popular open source frameworks (MLFlow and Kubeflow*).
Identify opportunities for MLOps components to improve performance, quality, and user experience in real-world applications.