Inside Azure ML - Workspace Setup & Configuration Deep Dive

09 Mar 2026 09:30 AM CST

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Webinar Overview

In this session, we will explore how to create and configure an Azure Machine Learning workspace using multiple methods, including the Azure Portal, ARM templates, CLI, and Python SDK. We will cover access management, workspace components such as compute, datastores, environments, and models, and understand how data is securely referenced using URIs. This session provides a strong foundational understanding aligned with DP-100 objectives.

Key Points

Creating a workspace using Azure Portal (UI), ARM Template, Azure CLI and Python SDK
Role-Based Access Control (RBAC) in Azure ML
Workspace architecture overview
Datastores and datasets

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Persis Anil

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Inside Azure ML - Workspace Setup & Configuration Deep Dive