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Prepare for the official Microsoft Azure Data Scientist Associate certification exam DP-100 in this Designing and Implementing a Data Science Solution on Azure 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.
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Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time — will run. Guaranteed.Before attending this course, students must have:
This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.
This course can help you prepare for the following Microsoft role-based certification exam — DP-100: Designing and Implementing a Data Science Solution 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.
LessonsThe student will learn how to use Azure Machine Learning service to automate the data science process end to end.
LessonsIn 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.
LessonsIn this module, the student will learn how to automatically manage and monitor machine learning models in the Azure Machine Learning service.
Lessons