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articles/ai-services/language-service/conversational-language-understanding/how-to/create-project.md

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manager: nitinme
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ms.service: azure-ai-language
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ms.topic: how-to
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ms.date: 05/01/2025
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ms.date: 07/23/2025
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ms.author: lajanuar
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ms.custom: language-service-clu
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---
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# Create a CLU fine-tuning task
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# Create a CLU project in Azure AI Foundry
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Use this article to learn how to set up these requirements and create a project.
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Azure AI Foundry projects help you organize your work when exploring new ideas or developing prototypes for specific use cases. A Foundry project is created on an Azure AI Foundry resource. This type of project offers an easy setup and provides access to agents and Azure AI models.
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If you already have an Azure AI Language or multi-service resource—whether used on its own or through Language Studio—you can continue to use those existing Language resources within the Azure AI Foundry portal. For more information, see [How to use Azure AI services in the Azure AI Foundry portal](../../../../ai-services/connect-services-ai-foundry-portal.md).
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## Prerequisites
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* An Azure subscription. If you don't have one, you can [create one for free](https://azure.microsoft.com/free/cognitive-services).
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* An Azure AI Language resource.
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### Create a Language resource
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Before you start using conversational language understanding (CLU), you need an Azure AI Language resource.
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> [!NOTE]
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> You need to have an Owner role assigned for the resource group to create a Language resource.
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[!INCLUDE [create a new resource from the Azure portal](../includes/resource-creation-azure-portal.md)]
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* **Requisite permissions**. Make sure the person establishing the account and project is assigned as the Azure AI Account Owner role at the subscription level. Alternatively, having either the **Contributor** or **Cognitive Services Contributor** role at the subscription scope also meets this requirement. For more information, *see* [Role based access control (RBAC)](../../../openai/how-to/role-based-access-control.md#cognitive-services-contributor).
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* An [Azure AI Foundry resource](../../../multi-service-resource.md)
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* For more information, *see* [Configure an Azure AI Foundry resource](configure-azure-resources.md#option-1-configure-an-azure-ai-foundry-resource).
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* **A project created in the Azure AI Foundry**. For more information, *see* [Create an AI Foundry project](../../../../ai-foundry/how-to/create-projects.md).
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[!INCLUDE [create a new resource from Language Studio](../includes/resource-creation-language-studio.md)]
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## Create a CLU project
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## Sign in to Language Studio
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[!INCLUDE [Sign in to Language studio](../includes/language-studio/sign-in-studio.md)]
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## Create a conversation project
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After you create a Language resource, create a CLU project.
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After you create an Azure AI Foundry resource, create a CLU project.
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### [Azure AI Foundry](#tab/azure-ai-foundry)
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[!INCLUDE [Create project](../includes/language-studio/create-project.md)]
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To create a Foundry project, *see* [Create an AI Foundry project](../../../../ai-foundry/how-to/create-projects.md).
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### [REST APIs](#tab/rest-api)
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[!INCLUDE [create project](../includes/rest-api/create-project.md)]
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---
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## Import a project
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## Import an existing Azure AI project
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### [Azure AI Foundry](#tab/azure-ai-foundry)
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You can export a CLU project as a JSON file at any time. On the conversation projects page, select a project, and on the top menu, select **Export**.
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:::image type="content" source="../media/export.png" alt-text="A screenshot that shows the CLU Export button." lightbox="../media/export.png":::
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You can reimport that project as a new project. If you import a project with the exact same name, it replaces the project's data with the newly imported project's data.
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If you have an existing Language Understanding (LUIS) application, you can _import_ the LUIS application JSON to CLU directly. It creates a Conversation project with all the pieces that are currently available: intents, machine learning entities, and utterances. For more information, see [Migrate from Language Understanding (LUIS) to conversational language understanding (CLU)](../how-to/migrate-from-luis.md).
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To import a project, select the arrow button next to **Create a new project** and select **Import**. Then select the LUIS or CLU JSON file.
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:::image type="content" source="../media/import.png" alt-text="A screenshot that shows the CLU Import button." lightbox="../media/import.png":::
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To import an existing Azure AI services project with Azure AI Foundry, you need to create a connection to the Azure AI services resource within your Azure AI Foundry project. For more information, *see* [Connect Azure AI Services projects to Azure AI Foundry](../../../../ai-services/connect-services-ai-foundry-portal.md)
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### [REST APIs](#tab/rest-api)
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### [Azure AI Foundry](#tab/azure-ai-foundry)
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You can export a CLU project as a JSON file at any time. On the conversation projects page, select a project, and then select **Export**.
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You can download a CLU project as a **config.json** file:
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* Navigate to your project home page.
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* At the top of the page, select your project from the right page ribbon area.
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* Select **Download config file**.
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### [REST APIs](#tab/rest-api)
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## Get CLU project details
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## View and manage project details
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### [Azure AI Foundry](#tab/azure-ai-foundry)
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[!INCLUDE [Language Studio project details](../includes/language-studio/project-details.md)]
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* On the project Home page, you can find information about the project in the **Project details** section.
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* To view project settings, select **Management center** then select one of the following tabs:
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* **Overview** to view project details.
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* **Users** to manage users and roles.
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* **Models + endpoints** to manage deployments of your models and services.
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* **Connected resources to manage connected resources for the project.
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### [REST APIs](#tab/rest-api)
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### [Azure AI Foundry](#tab/azure-ai-foundry)
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[!INCLUDE [Delete project](../includes/language-studio/delete-project.md)]
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1. In [Azure AI Foundry portal](https://ai.azure.com), open your [!INCLUDE [hub-project-name](../includes/hub-project-name.md)].
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1. Navigate to the [Azure AI Foundry](https://ai.azure.com/) home page and sign in if you haven't already done so.
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1. Select the project that you want to delete from the **Keep building with Azure AI Foundry**
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1. Select **Management center**.
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1. On the right select **Delete project**.
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To delete the hub along with all its projects:
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1. Navigate to the **Overview** tab inn the **Hub** section.
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1. On the right, select **Delete hub**.
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1. The link will open the Azure portal for you to delete the hub there.
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### [REST APIs](#tab/rest-api)
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articles/ai-services/language-service/conversational-language-understanding/how-to/train-model.md

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## Prerequisites
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* **An active Azure subscription**. If you don't have one, you can [create one for free](https://azure.microsoft.com/free/cognitive-services).
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* **Requisite permissions**. Make sure the person establishing the account and project is assigned as the Azure AI Account Owner role at the subscription level. Alternatively, having either the **Contributor** or **Cognitive Services Contributor** role at the subscription scope also meets this requirement. For more information, *see* [Role based access control (RBAC)](../../../openai/how-to/role-based-access-control.md#cognitive-services-contributor)
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* **A project created in the Azure AI Foundry**. For more information, *see* [Create an AI Foundry project](../../../../ai-foundry/how-to/create-projects.md)
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* **Requisite permissions**. Make sure the person establishing the account and project is assigned as the Azure AI Account Owner role at the subscription level. Alternatively, having either the **Contributor** or **Cognitive Services Contributor** role at the subscription scope also meets this requirement. For more information, *see* [Role based access control (RBAC)](../../../openai/how-to/role-based-access-control.md#cognitive-services-contributor).
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* **A project created in the Azure AI Foundry**. For more information, *see* [Create an AI Foundry project](../../../../ai-foundry/how-to/create-projects.md).
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* [**Your labeled utterances**](tag-utterances.md) tagged for your fine tuning task.
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articles/ai-services/language-service/toc.yml

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href: ../containers/azure-container-instance-recipe.md?context=/azure/ai-services/language-service/context/context
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- name: Azure AI containers overview
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href: ../cognitive-services-container-support.md
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- name: Create projects
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- name: Create a CLU Foundry project
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href: conversational-language-understanding/how-to/create-project.md
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displayName: creation, clu project, setup
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- name: Build a schema

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