Create a MLOps Project using Amazon SageMaker Studio or Studio Classic - Amazon SageMaker AI

Create a MLOps Project using Amazon SageMaker Studio or Studio Classic

Important

Custom IAM policies that allow Amazon SageMaker Studio or Amazon SageMaker Studio Classic to create Amazon SageMaker resources must also grant permissions to add tags to those resources. The permission to add tags to resources is required because Studio and Studio Classic automatically tag any resources they create. If an IAM policy allows Studio and Studio Classic to create resources but does not allow tagging, "AccessDenied" errors can occur when trying to create resources. For more information, see Provide permissions for tagging SageMaker AI resources.

AWS managed policies for Amazon SageMaker AI that give permissions to create SageMaker resources already include permissions to add tags while creating those resources.

This procedure demonstrates how to create an MLOps project using Amazon SageMaker Studio Classic.

Prerequisites

Studio

  1. Open the SageMaker Studio console by following the instructions in Launch Amazon SageMaker Studio.

  2. In the left navigation pane, choose Deployments, and then choose Projects.

  3. In the upper-right corner above the projects list, choose Create project.

  4. In the Templates page, choose a template to use for your project. For more information about project templates, see MLOps Project Templates.

  5. Choose Next.

  6. In the Project details page, enter the following information:

    • Name: A name for your project.

    • Description: An optional description for your project.

    • The values for the Service Catalog provisioning parameters related to your chosen template.

  7. Choose Create project and wait for the project to appear in the Projects list.

  8. (Optional) In the Studio sidebar, choose Pipelines to view the pipeline created from your project. For more information about Pipelines, see Pipelines.

Studio Classic

  1. Sign in to Studio Classic. For more information, see Amazon SageMaker AI domain overview.

  2. In the Studio Classic sidebar, choose the Home icon ( Black square icon representing a placeholder or empty image. ).

  3. Select Deployments from the menu, and then select Projects.

  4. Choose Create project.

    The Create project tab opens displaying a list of available templates.

  5. If not selected already, choose SageMaker AI templates. For more information about project templates, see MLOps Project Templates.

  6. Choose the template Model building, training, and deployment.

  7. Choose Select project template.

    The Create project tab changes to display Project details.

  8. Enter the following information:

    • For Project details, enter a name and description for your project.

    • Optionally, add tags, which are key-value pairs that you can use to track your projects.

  9. Choose Create project and wait for the project to appear in the Projects list.