--- title: "Create a Project on CLU" slug: "mindbehind-create-a-project-on-clu" description: "Learn how to create a project on Microsoft CLU using Azure Language Studio and configure it in MindBehind for natural language understanding in chatbot integrations." tags: ["clu", "clu integration", "clu provider", "microsoft azure"] updated: 2026-10-11T17:29:31Z published: 2026-10-11T17:29:31Z canonical: "academy.insiderone.com/mindbehind-create-a-project-on-clu" --- > ## Documentation Index > Fetch the complete documentation index at: https://academy.insiderone.com/llms.txt > Use this file to discover all available pages before exploring further. # Create a Project on CLU This guide aims to explain how to create a project on CLU. To create a project on CLU, 1. Create an account from [Azure Portal](https://portal.azure.com/#home) or log in to your account if you already have one. 2. To create an **AI Provider** on MindBehind, you must have an endpoint, subscription key, project name, deployment name, training model name, and language. 3. Go to your **language resource** on the [Azure Portal](https://portal.azure.com/#home). Click on the "Keys and Endpoints" menu. You will find Key 1, which is the subscription key and endpoint URL. ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/how-to-create-a-project-on-clu-image-arlukfid.jpg) 4. Go to the [Language Studio](https://language.cognitive.azure.com/clu/projects). To create a new project, you should have an **Azure Subscription** and **Resource**. The Resource type must be "Language". Select the already existing ones. If you do not have an account, click the "Create a free account" link. ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/azure4.png) 5. If you do not have a resource, go to the [Azure Portal](https://portal.azure.com/#home) and click on the **Language** menu or click on the link under the "Select an Azure resource" window to create a **new language.** ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/how-to-create-a-project-on-clu-image-ikbuzh3u.jpg) 6. After clicking the **Done** button, click "Create new project". Type the **project name** and **primary language** and click the **Create** button. This will be your **project name** on Configurations. The Turkish option is currently not supported. ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/db*.png) ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/azure6.png) 7. Language must be in Language Tag (BCP 47) format. Refer to [Language and voice support for the speech service](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=stt) to get the related tag. For example, if you select the "English(United States)" option while creating the project, you should type **en-US** to language on Configurations. 8. Click on "Start a training job**"** to create a **training model** from **training jobs**. To be successful in the training, you must have at least one intent, and this intent must have at least one utterance. ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/tj1.png) 9. You can get the **training model name** from here. ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/tj2.png) 10. Before adding a new **deployment**, you must train your model successfully at least once. If you do not have any "Add deployment" button, it will be deactivated. To create a new **deployment**, click the "Deploying a model" option on the left menu and click the **Add deployment** button. 11. Select your **trained model** and click on the **Deploy** button**.** This will be your **deployment name.** ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/how-to-create-a-project-on-clu-image-da6ytdbi.jpg) ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/tj5.png) The training model and deployment model must be the same values you will provide when creating the AI integration on the MindBehind panel. 12. Go to the MindBehind home page and click the **Companies** from the left menu. ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/tg12*(2).png) 13. On the **Company** page, select the company where you want to add the **AI integration** for CLU. 14. Select the **AI / NLP** option on the panel. ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/Screenshot%20at%20Sep%2013%2010-12-39.png) 15. After clicking the **Add AI** button, select the "ADD CLU" option. ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/addclu.png) 16. After selecting the **Configurations**, fill in the table below. ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/config*.png) Refer to Step 2 of this guide to gather the values needed in the table above. 17. After successfully adding the credentials, you can see the **CLU provider** in the list: ![](https://cdn.document360.io/c6df4583-da94-4cb2-bb8a-be0cbdd11109/Images/Documentation/cluai.png) Congratulations! Now, you can use the newly added **CLU Provider** in the assistants you create.