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

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.

Module 1 : Get started with Azure Databricks

• Understand Azure Databricks
• Provision Azure Databricks workspaces and clusters
• Work with notebooks in Azure Databricks

Module 2 : Work with data in Azure Databricks

• Understand dataframes
• Query dataframes
• Visualize data

Module 3 : Prepare data for machine learning with Azure Databricks

• Understand machine learning concepts
• Perform data cleaning
• Perform feature engineering
• Perform data scaling
• Perform data encoding

Module 4 : Train a machine learning model with Azure Databricks

• Understand Spark ML
• Train and validate a model
• Use other machine learning frameworks

Module 5 : Use MLflow to track experiments in Azure Databricks

• Understand capabilities of MLflow
• Use MLflow terminology
• Run experiments

Module 6 : Manage machine learning models in Azure Databricks

• Describe considerations for model management
• Register models
• Manage model versioning

Module 7 : Track Azure Databricks experiments in Azure Machine Learning

• Describe Azure Machine Learning
• Run Azure Databricks experiments in Azure Machine Learning
• Log metrics in Azure Machine Learning with MLflow
• Run Azure Machine Learning pipelines on Azure Databricks compute

Module 8 : Deploy Azure Databricks models in Azure Machine Learning

• Describe considerations for model deployment
• Plan for Azure Machine Learning deployment endpoints
• Deploy a model to Azure Machine Learning
• Troubleshoot model deployment

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:

• Create machine learning models

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.