DP-090T00: Implementing a Machine Learning Solution with Microsoft Azure Databricks

1 Days

6 CPD hours

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.

After completing this course, you will be able to:
Provision an Azure Databricks workspace and cluster
Use Azure Databricks to train a machine learning model
Use MLflow to track experiments and manage machine learning models
Integrate Azure Databricks with Azure Machine Learning

Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this course, students will learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

Introduction to Azure Databricks

• Getting Started with Azure Databricks
• Working with Data in Azure Databricks

Training and Evaluating Machine Learning Models

• Preparing Data for Machine Learning
• Training a Machine Learning Model

Managing Experiments and Models

• Using MLflow to Track Experiments
• Managing Models

Managing Experiments and Models

• Using MLflow to Track Experiments
• Managing Models

Integrating Azure Databricks and Azure Machine Learning

• Tracking Experiments with Azure Machine Learning
• Deploying Models