Azure ML Workspaces and Access Control
The lesson describes the Azure ML workspace hierarchy (tenant > subscription > resource group > workspace), the cloud services in each workspace including storage account, key vault, container registry, and application insights, and RBAC permissions for reader, contributor, and owner roles.
This Module
Azure Machine Learning
Azure ML Compute and Data Management
Azure ML Workflow and Integration
Machine Learning Operationalization
Azure ML Workspaces and Access Control
Azure Machine Learning Studio
Demo: Exploring Azure ML Studio
Azure ML SDK, CLI, and Compute Instances
Demo: Visual Studio Code Integration
What is Automated Machine Learning?