SageMaker / Client / create_studio_lifecycle_config

create_studio_lifecycle_config#

SageMaker.Client.create_studio_lifecycle_config(**kwargs)#

Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.

See also: AWS API Documentation

Request Syntax

response = client.create_studio_lifecycle_config(
    StudioLifecycleConfigName='string',
    StudioLifecycleConfigContent='string',
    StudioLifecycleConfigAppType='JupyterServer'|'KernelGateway'|'CodeEditor'|'JupyterLab',
    Tags=[
        {
            'Key': 'string',
            'Value': 'string'
        },
    ]
)
Parameters:

  • StudioLifecycleConfigName (string) –

    [REQUIRED]

    The name of the Amazon SageMaker AI Studio Lifecycle Configuration to create.

  • StudioLifecycleConfigContent (string) –

    [REQUIRED]

    The content of your Amazon SageMaker AI Studio Lifecycle Configuration script. This content must be base64 encoded.

  • StudioLifecycleConfigAppType (string) –

    [REQUIRED]

    The App type that the Lifecycle Configuration is attached to.

  • Tags (list) –

    Tags to be associated with the Lifecycle Configuration. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.

    • (dict) –

      A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.

      You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags.

      For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources. For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy.

      • Key (string) – [REQUIRED]

        The tag key. Tag keys must be unique per resource.

      • Value (string) – [REQUIRED]

        The tag value.

Return type:

dict

Returns:

Response Syntax

{
    'StudioLifecycleConfigArn': 'string'
}

Response Structure

  • (dict) –

    • StudioLifecycleConfigArn (string) –

      The ARN of your created Lifecycle Configuration.

Exceptions

  • SageMaker.Client.exceptions.ResourceInUse