# Create a project
<a name="getting-started-create-a-project"></a>

In Amazon SageMaker Unified Studio, projects enable a group of users to collaborate on various business use cases. Within projects, you can manage data assets in the Amazon SageMaker Unified Studio catalog, perform data analysis, organize workflows, develop machine learning models, build generative AI apps, and more. 

In order to create a project in Amazon SageMaker Unified Studio, you must gain access to Amazon SageMaker Unified Studio. A domain unit owner must also grant you access to create projects through an authorization policy. For more information, see [Domain units and authorization policies in Amazon SageMaker Unified Studio](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/domain-units.html).

1. Navigate to the Amazon SageMaker Unified Studio landing page using the URL from your admin.
**Note**  
 Amazon SageMaker Unified Studio supports the following browsers:       
[\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/getting-started-create-a-project.html)

1. Access Amazon SageMaker Unified Studio using your IAM or single sign-on (SSO) credentials. For more information, see [Access Amazon SageMaker Unified Studio](getting-started-access-the-portal.md).

1. Choose **Create project**.

1. Enter a name for your project. The name of the project is final.

1. (Optional) Enter a description for your project. You can edit this later.

1. (Optional) If your domain has configured domain units, select a domain unit for your project. If nobody in the domain has created domain units, you create a project in the root domain unit by default and no action is needed here.

1. Select the project profile that contains the resources you will need in your project.

   1. Select **All capabilities** to access all of the supported services and resources in a single project.

   1. Select **SQL analytics** to get started querying and analyzing SQL data.

   1. Select **Generative AI application development** to get started with generative AI.

1. Choose **Continue**.

1. (Optional) Customize parameters, if desired. For more information about customizing parameters, see [Step 2: Customize parameters](create-new-project.md#create-project-parameters).

1. Choose **Continue**.

1. Choose **Create project**.

You can then navigate to your project at any time from the Amazon SageMaker Unified Studio home page by choosing **Select a project** and **Browse all projects**, then choosing the name of your project. After you navigate to your project, you can begin adding data and compute resources and using tools.