选择您的 Cookie 首选项

我们使用必要 Cookie 和类似工具提供我们的网站和服务。我们使用性能 Cookie 收集匿名统计数据,以便我们可以了解客户如何使用我们的网站并进行改进。必要 Cookie 无法停用,但您可以单击“自定义”或“拒绝”来拒绝性能 Cookie。

如果您同意,AWS 和经批准的第三方还将使用 Cookie 提供有用的网站功能、记住您的首选项并显示相关内容,包括相关广告。要接受或拒绝所有非必要 Cookie,请单击“接受”或“拒绝”。要做出更详细的选择,请单击“自定义”。

Create a project - Amazon SageMaker Unified Studio
此页面尚未翻译为您的语言。 请求翻译

Amazon SageMaker Unified Studio is in preview release and is subject to change.

Amazon SageMaker Unified Studio is in preview release and is subject to change.

Create a project

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.

  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:

    Browser Version

    Microsoft Edge

    Latest 3 major versions

    Google Chrome

    Latest 3 major versions

    Apple Safari

    Latest 3 major versions

  2. Access Amazon SageMaker Unified Studio using your IAM or single sign-on (SSO) credentials. For more information, see Access Amazon SageMaker Unified Studio.

  3. Choose Create project.

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

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

  6. (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.

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

    1. Select Data analytics and AI-ML model development to get started training and deploying machine learning models.

    2. Select SQL analytics to get started querying and analyzing SQL data.

    3. Select Generative AI app development to get started with generative AI.

  8. Choose Continue.

  9. (Optional) Customize parameters, if desired. For more information about customizing parameters, see Step 2: Customize parameters.

  10. Choose Continue.

  11. 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.

隐私网站条款Cookie 首选项
© 2024, Amazon Web Services, Inc. 或其附属公司。保留所有权利。