Use MLflow in Azure Databricks

Data Scientist
Azure Databricks

MLflow is an open source platform for managing the machine learning lifecycle that is natively supported in Azure Databricks.

Learning objectives

In this module, you'll learn how to:

  • Use MLflow to log parameters, metrics, and other details from experiment runs.
  • Use MLflow to manage and deploy trained models.


Before starting this module, you should be familiar with Azure Databricks and the machine learning model training process.