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Designing and Implementing a Data Science Solution on Azure (DP-100): Design and Prepare a Machine Learning Solution
Are you planning to earn your Microsoft Certified: Azure Data Scientist Associate badge? This course will teach you how to design, deploy and prepare a machine learning solution.
What you'll learn
Before training your first custom model in Azure Machine Learning, you need to design, prepare, and deploy necessary resources.
In this course, Designing and Implementing a Data Science Solution on Azure (DP-100): Design and Prepare a Machine Learning Solution, you’ll gain the ability to design and create a machine learning workspace.
First, you’ll explore data and compute requirements for your project.
Next, you’ll discover how to provision a workspace, datastores, compute targets and Git integration.
Finally, you’ll learn how to create and manage data assets, environments, and registries.
When you’re finished with this course, you’ll have the skills and knowledge of designing and preparing a machine learning solution, needed to pass exam DP-100, Microsoft Certified: Azure Data Scientist Associate.
Table of contents
About the author
Reza, is a Microsoft Azure and Amazon AWS architect, developer and trainer. He continues helping his clients with cloud-native solutions while sharing his expertise with other developers through training and mentoring.