Module 1: Introduction to Azure Databricks
In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.

Lessons
Getting Started with Azure Databricks

Working with Data in Azure Databricks

Lab : Getting Started with Azure Databricks
Lab : Working with Data in Azure Databricks
After completing this module, you will be able to:

Provision an Azure Databricks workspace and cluster

Use Azure Databricks to work with data

Module 2: Training and Evaluating Machine Learning Models
In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.

Lessons
Preparing Data for Machine Learning

Training a Machine Learning Model

Lab : Training a Machine Learning Model
Lab : Preparing Data for Machine Learning
After completing this module, you will be able to use Azure Databricks to:

Prepare data for modeling

Train and validate a machine learning model

Module 3: Managing Experiments and Models
In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.

Lessons
Using MLflow to Track Experiments

Managing Models

Lab : Using MLflow to Track Experiments
Lab : Managing Models
After completing this module, you will be able to:

Use MLflow to track experiments

Manage models

Module 4: Integrating Azure Databricks and Azure Machine Learning
In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning

Lessons
Tracking Experiments with Azure Machine Learning

Deploying Models

Lab : Deploying Models in Azure Machine Learning
Lab : Running Experiments in Azure Machine Learning
After completing this module, you will be able to:

Run Azure Machine Learning experiments on Azure Databricks compute

Deploy models trained on Azure Databricks to Azure Machine Learning