Implementing a Machine Learning Solution with Azure Databricks (DP-090)

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