Azure Machine Learning: Explore and configure the workspace

"Explore and Configure the Azure Machine Learning Workspace" is designed to guide individuals through the initial setup and configuration of an Azure Machine Learning Workspace. It serves as an introductory resource for understanding and establishing a foundational environment for machine learning projects within the Azure cloud platform. The content focuses on providing the essential knowledge for creating and managing an Azure Machine Learning Workspace. You'll learn about the purpose of the workspace as a centralized hub for machine learning activities. This includes understanding the key configuration options and settings necessary to tailor the workspace to your specific project requirements. The material covers the core components and resources that are integral to the workspace, as well as initial considerations for security and access management. Ultimately, this course aims to prepare you to effectively use the Azure Machine Learning environment by giving you the ability to create and manage your own workspace, which is the starting point for building, training, and deploying machine learning models.

• Guide to setup Azure Machine Learning Workspace.
• Establish a foundational ML environment in Azure.
• Learn to create and manage an AML Workspace.
• Understand the workspace as a centralized ML hub.
• Explore key configuration options and settings.
• Learn core components and resources of the workspace.
• Consider security and access management initially.
• Prepare to effectively use Azure ML environment.