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Update concept-hub-workspace.md
1) Removed preview tag as feature is going to GA. 2) Add details on creating hubs via SDK/CLI.
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articles/machine-learning/concept-hub-workspace.md

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ms.topic: conceptual
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ms.author: larryfr
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author: Blackmist
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ms.reviewer: deeikele
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ms.date: 05/09/2024
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ms.reviewer: namanjoshi
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ms.date: 14/04/2025
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monikerRange: 'azureml-api-2 || azureml-api-1'
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#Customer intent: As an IT administrator, I want to understand the purpose of a hub workspace for Azure Machine Learning.
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## Set up and secure a hub for your team
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Create a hub workspace in [Azure portal](how-to-manage-hub-workspace-portal.md), or using [Azure Resource Manager templates](how-to-manage-hub-workspace-template.md). You might customize networking, identity, encryption, monitoring, or tags, to meet compliance with your organization's requirements.
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Create a hub workspace in [Azure portal](how-to-manage-hub-workspace-portal.md), with [Azure Resource Manager templates](how-to-manage-hub-workspace-template.md) or via [Azure ML SDK/CLI](https://learn.microsoft.com/azure/ai-foundry/how-to/develop/create-hub-project-sdk?tabs=azurecli). You might customize networking, identity, encryption, monitoring, or tags, to meet compliance with your organization's requirements.
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Project workspaces that are created using a hub obtain the hub's security settings and shared resource configuration. Including the following configurations:
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1. [Using Azure AI Foundry](/azure/ai-studio/how-to/create-projects)
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2. [Using Azure SDK](how-to-manage-workspace.md?tabs=python)
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4. [Using automation templates](how-to-create-workspace-template.md)
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5. [Using Azure CLI](https://learn.microsoft.com/cli/azure/ml/workspace?view=azure-cli-latest)
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> [!NOTE]
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> When creating a workspace using a hub, there's no need to specify security settings or [associated resources](concept-workspace.md#associated-resources) because those are inherited from the hub. For example, if public network access is disabled on the hub, it is also disabled on new workspace that is created.

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