Duration: 1 Day
Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you’ll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.
To know more about the course outline, click here.
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This course is designed for data scientists with experience of Pythion who need to learn how to apply their data science and machine learning skills on Azure Databricks
Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts. Before attending this course, complete the following learning path on Microsoft Learn:1613
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
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
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
In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning
Tracking Experiments with Azure Machine Learning