Implementing a Machine Learning Solution with Microsoft Azure Databricks – MS-DP090T00
MS-DP090T00: Implementing a Machine Learning Solution with Azure Databricks
Course Code: MS-DP090T00
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.
- Duration: 1 Day
- Level: Intermediate
- Technology: Azure
- Delivery Method: Instructor Led
- Training Credits: NA
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.
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
After completing this course, students 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 modelsÂ
– Integrate Azure Databricks with Azure Machine Learning
This course has no associated exam.
Modules
In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.
Lessons
– 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
In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.
Lessons
– Preparing Data for Machine Learning
– Training a Machine Learning Model
Lab: Training a Machine Learning Model
Lab: Preparing Data for Machine Learning
After completing this module, you will be able to use Azure Databricks to:
– Prepare data for modeling
– Train and validate a machine learning model
In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.
Lessons
– Using MLflow to Track Experiments
– Managing Models
Lab: Using MLflow to Track Experiments
Lab: Managing Models
After completing this module, you will be able to:
– Use MLflow to track experiments
– Manage models
In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning
Lessons
– Tracking Experiments with Azure Machine Learning
– Deploying Models
Lab: Deploying Models in Azure Machine Learning
Lab: Running Experiments in Azure Machine Learning
After completing this module, you will be able to:
– Run Azure Machine Learning experiments on Azure Databricks compute
– Deploy models trained on Azure Databricks to Azure Machine Learning