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articles/ai-services/agents/how-to/use-your-own-vnet.md

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1. An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).
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2. [Python 3.8 or later](https://www.python.org/)
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3. Make sure the person deploying the template has the role: **Contributor** assigned at the resource group level, and they're deploying this template in that specific resource group (specific role). [Learn more](https://learn.microsoft.com/azure/ai-studio/concepts/rbac-ai-studio)
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4. To deploy the bicep template and configure RBAC (Role-Based Access Control), you need to have the role: **Role Based Access Administrator** at the subscription level.
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3. Ensure that the individual deploying the template has the the role: **Azure AI Developer** assigned at the resource group level where the template is being deployed. [Learn more](https://learn.microsoft.com/azure/ai-studio/concepts/rbac-ai-studio)
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4. Additionally, to deploy the temaplete you need to have the preset role: **Role Based Access Administrator** at the subscription level. [Learn more](https://learn.microsoft.com/azure/role-based-access-control/built-in-roles/privileged#role-based-access-control-administrator)
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* Note: The **Owner** role at the subscription level satisfies this requirement.
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5. Install [the Azure CLI and the machine learning extension](/azure/machine-learning/how-to-configure-cli). If you have the CLI already installed, make sure it's updated to the latest version.
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6. Register providers
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* Note: The specific admin role that is needed is: **'Microsoft.Authorization/roleAssignments/write'**
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1. Install [the Azure CLI and the machine learning extension](/azure/machine-learning/how-to-configure-cli). If you have the CLI already installed, make sure it's updated to the latest version.
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1. Register providers
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The following providers must be registered:
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* Microsoft.KeyVault

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