Amazon SageMaker Unified Studio is in preview release and is subject to change.
Create a new 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.
When you create a project, you choose a name and description, customize parameters for project resources, and then review selections.
Step 1: Project name and description
To begin creating a project, navigate to the Amazon SageMaker Unified Studio landing page and choose Create project.
The Project name and description includes the following fields:
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Project name - The name of your Amazon SageMaker Unified Studio project. Enter a name here. The name of the project can not be edited after the project is created.
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Description - An optional description of your project. You can edit this later.
Domain unit - The business-level entity that lets your team organize and manage policies for business needs in the 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. If domain units have been created, select the name of the domain unit you want your project to be in. For more information, see Domain units and authorization policies in Amazon SageMaker Unified Studio.
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Project profile - Project profiles define which resources and tools should be provisioned in the project. These include tools and compute resources for SQL, data science, data engineering, and machine learning development. Project profiles can include resources and tools from Amazon Redshift, Amazon SageMaker AI, and other AWS services. Select the project profile that contains the resources and tools you will need to use in your project. The project profiles available for you to choose from are defined by your administrator in the Amazon SageMaker Unified Studio management console. For more information, see the Amazon SageMaker Unified Studio Administrator Guide.
After you fill in the fields for project creation, choose Continue to customize parameters.
Step 2: Customize parameters
On the next page of project creation, you can view and edit the names and values for different resources that are created when the project is created.
Note
Some of the parameter values might be determined by your admin or by the default value from the environment blueprint, according to the configurations that your admin has set in the Amazon SageMaker Unified Studio management console. If you are not able to view or change a parameter value that you want to specify, contact your admin to edit the configurations. For more information, see the section Edit a project profile in the Amazon SageMaker Unified Studio Administrator Guide.
Connect to a Git repository
As part of this process, if your admin has configured the parameters to be editable, you can choose a Git repository to connect to your project. You can choose to connect your project to an existing third-party Git repository or create a new Git repository to connect to.
To connect to an existing 3P Git repository
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In the Git connection dropdown, select a connection from AWS CodeConnections that is enabled for Amazon SageMaker Unified Studio. Available Git connections are provided by your administrator in the Amazon SageMaker Unified Studio management console.
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Select either the Existing repository and existing branch or Existing repository and new branch radio button. Then in the Repository name dropdown, you will see a list of repositories accessible with the connection.
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Select the name of the repository you want to connect your project to.
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In the branch name dropdown, either select an existing branch, or enter a branch name to create a new one.
To create a new Git repository
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In the Git connection dropdown, select a connection from AWS CodeConnections that is enabled for Amazon SageMaker Unified Studio. Available Git connections are provided by your administrator in the Amazon SageMaker Unified Studio management console.
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Select the New repository and new branch radio button.
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Provide a name for the repository.
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Enter a name for the branch you want to create within the new repository. The new repository and branch will then be created when the project is created.
Depending on which project profile you are using to create a project and what parameters your admin has configured to be editable, you might have other fields to choose parameters for.
When you have chosen the parameters you want, choose Continue to review the selections.
Step 3: Review
Use the last page of project creation to review the configurations you have selected. When everything is configured as desired on the project creation review page, choose Create project.
You are then redirected to the project home page. It might take a few minutes before the project is created and you can access tools.
Next steps
After you create a project, you can add members and resources to the project and begin using tools. There are many ways to get started building your project, including the following options:
Add members to your project to collaborate together. For more information, see Add project members.
Add data to your project. For more information, see Data.
Add compute resources to your project. For more information, see Compute.
Find, train, and deploy machine learning models. For more information, see Machine learning.
Use Amazon Bedrock IDE to create generative AI apps. For more information, see Amazon Bedrock IDE.
