Deploy models

For information about deploying models with MLflow, see Log, load, and deploy MLflow Models. The following notebook illustrates how to use MLflow Model Registry to build, manage, and deploy a model.

You can also create a Databricks job to run a notebook or JAR either immediately or on a scheduled basis.