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.
Audience Profile
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
Job role: Data Scientist
Features: none
Skills gained
In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.
After completing this module, you will be able to:
In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.
After completing this module, you will be able to use Azure Databricks to:
In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.
After completing this module, you will be able to:
In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning
After completing this module, you will be able to:
Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts.
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