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.
Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts.
This course is designed for data scientists with experience of Python who need to learn how to apply their data science and machine learning skills on Azure Databricks.
Implementing a Machine Learning Solution with Microsoft Azure Databricks Training (DP-090) Delivery Methods
Microsoft Official Course content
After-course instructor coaching
Implementing a Machine Learning Solution with Microsoft Azure Databricks Training (DP-090) Course Benefits
Provision an Azure Databricks workspace and clusterUse Azure Databricks to train a machine learning modelUse MLflow to track experiments and manage machine learning modelsIntegrate Azure Databricks with Azure Machine Learning
Microsoft DP-090 Training Outline
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.
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
Module 3: Managing Experiments and Models
Module 4: Integrating Azure Databricks and Azure Machine Learning