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
Other Trainings
Microsoft
105 Training Set
