Gain the necessary knowledge about how to use Azure services to develop, train, and deploy machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.
Before attending this course, students must have:
Module 1 - Doing Data Science on Azure
The students will learn about the data science process and the role of the data scientist. This is then applied to understand how Azure services can support and augment the data science process.
Introduce the Data Science Process
Module 2 - Doing Data Science with Azure Machine Learning Service
The students will learn how to use Azure Machine Learning service to automate the data science process end to end:
Module 3 - Automate Machine Learning with Azure Machine Learning Service
In this module, the students will learn about the machine learning pipeline and how the Azure Machine Learning service's AutoML and HyperDrive can automate some of the laborious parts of it:
Module 4 - Manage and Monitor Machine Learning Models with the Azure Machine Learning Service
In this module, the student will learn how to automatically manage and monitor machine learning models in the Azure Machine Learning service: