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

For data scientists with experience of Pythion who want to learn how to take advantage of Azure DataBricks. Examples used in this course are in Python, but Databricks can also be used in Scala.

The course covers how to use Azure Databricks to retrieve, prepare, and model data, and how to combine Databricks’ machine learning processes with Azure’s machine learning. 

Experience using Python to work with data, and some knowledge of machine learning concepts. 

Module 1: Introduction to Azure Databricks 

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

Module 2: Training and Evaluating Machine Learning Models 

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

Module 3: Managing Experiments and Models 

• Using MLflow to Track Experiments 
• Managing Models 

Module 4: Integrating Azure Databricks and Azure Machine Learning 

• Tracking Experiments with Azure Machine Learning 
• Deploying Models