About This Course
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.
Audience Profile
This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.
Course Outline
Module 1: Doing Data Science on Azure
The student 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.
Lessons
- Introduce the Data Science Process
- Overview of Azure Data Science Options
- Introduce Azure Notebooks
Module 2: Doing Data Science with Azure Machine Learning service
The student will learn how to use Azure Machine Learning service to automate the data science process end to end.
Lessons
- Introduce Azure Machine Learning (AML) service
- Register and deploy ML models with AML service
Module 3: Automate Machine Learning with Azure Machine Learning service
In this module, the student 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.
Lessons
- Automate Machine Learning Model Selection
- Automate Hyperparameter Tuning with HyperDrive
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.
Lessons
- Manage and Monitor Machine Learning Models
