Training is conducted in BYOL (bring your own laptop) formula. It gives you access to all the excercises and configurations. You can always reach out for them when setting up your environment.
Customer laptop requirements:
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.
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.
Module 2: Doing Data Science with Azure Machine Learning service
The student will learn how to use Azure Machine Learning service (AML) to automate the data science process end-to-end.
Module 3: Automate Machine Learning with AML service
In this module, the student will learn about the machine learning pipeline and how the AML service's AutoML and HyperDrive can automate some of the laborious parts of it.
Module 4: Manage and Monitor Machine Learning Models with the AML service
In this module, the student will learn how to automatically manage and monitor machine learning models in the AML service.
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3 d x 8 h (Total 24 h)
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