IT Professional Curricula     Internet and Network Technologies Solution Area     Cloud Computing     DP-100: Designing and Implementing a Data Science Solution on Azure

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Azure Machine Learning Studio can be used to create and train machine learning models. Support is provided for multiple development tools, programming languages such as Python and R, and numerous machine learning frameworks.
In this course, you'll learn about the services provided by the Azure Machine Learning Studio, how to create an Azure account, and how to register and signup to use Azure Machine Learning Studio. You'll also explore available Azure Machine Learning Studio components, which can be used to create machine learning workflows, ingest data from an Azure Blob storage resource, create and use an Azure Machine Learning workspaces, and create and use a compute resource.
This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.

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Objectives

DP-100 - Azure Data Scientist Associate: Machine Learning Services discover the key concepts covered in this course describe Azure Machine Learning services describe the Azure Machine Learning Studio register and signup for an Azure Machine Learning Studio account and access the studio dashboard inspect the Azure ML Studio sidebar components for creating machine learning workflows ingest data from an Azure Blob storage resource create and use a compute resource summarize the key concepts covered in this course