DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks Training

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

• 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

In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.

• Preparing Data for Machine Learning
• Training a Machine Learning Model

Lab: Preparing Data for Machine Learning

Lab: Training a Machine Learning Model

After completing this module, you will be able to use Azure Databricks to:

• Prepare data for modeling
• Train and validate a machine learning model

In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.

• 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

In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning

• Tracking Experiments with Azure Machine Learning
• Deploying Models

Lab: Running Experiments in Azure Machine Learning

Lab: Deploying Models 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