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
