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Get-AzCognitiveServicesAccount

Get-AzCognitiveServicesAccount -ResourceGroupName "rg-raspustin-0328" | Select-Object Name, Endpoint, Kind

Get-AzAIHub not recognized

Install-Module -Name Az.MachineLearningServices -AllowClobber -Scope CurrentUser
Import-Module Az.MachineLearningServices

Get-AzMLWorkspace

Get-AzMLWorkspace -ResourceGroupName "rg-raspustin-0328" | Select-Object Name, FriendlyName, DiscoveryUrl

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hub – Check for the ML Workspace (Hub) with a wide net

Get-AzMLWorkspace -ResourceGroupName "rg-raspustin-0328" | Select-Object Name, FriendlyName, DiscoveryUrl

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Recommended LinkedIn Learning Courses

• Building RAG Solutions with Azure AI Foundry
• Duration: ~1.5 hours.
• This is the most direct "Foundry" course. It covers the exact transition from the older AI Studio to the new Foundry interface. It will help understand why Get-AzMLWorkspace command might have come up empty by showing how Projects and Hubs are structured.
• Azure AI Services: Deploying and Monitoring Models
• Focus: This focuses on the "Inference" side. Since you have an endpoint starting with rasputin-0328-resource, this course shows how to take that resource and actually deploy a model (like GPT-4) to it so you can hit it with your Python scripts.
• Introduction to Azure Prompt Flow
• Focus: Automation. Prompt Flow is the "low-code/code-behind" way to chain AI tasks together. If looking to automate data extraction, this is the tool inside Foundry that handles the logic.

Azure AI Foundry (Formerly AI Studio) Overview
This video provides a 2026 roadmap that specifically highlights where Microsoft Foundry fits into a data engineer’s workflow, which is perfect for your background in system administration and automation.

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model deployment – Projects are also technically ML Workspaces with a specific “Kind”

If you have an endpoint but no “Project,” you might just have a standalone AI Service. Let’s see if there are any models (like GPT-4o) actually deployed and ready to use

Get-AzCognitiveServicesAccountDeployment -ResourceGroupName "rg-raspustin-0328" -AccountName "raspustin-0328-resource" | Select-Object Name, ModelName, ModelVersion, ProvisioningState

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project – Projects are also technically ML Workspaces with a specific “Kind”

Get-AzResource -ResourceGroupName "rg-raspustin-0328" -ResourceType "Microsoft.MachineLearningServices/workspaces" | Select-Object Name , Kind, Location

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RAG – retrieval-augmented generation

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workspace – Check for the ML Workspace (Hub) with a wide net

Get-AzMLWorkspace -ResourceGroupName "rg-raspustin-0328" | Select-Object Name, FriendlyName, DiscoveryUrl

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