SageMaker Project

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SageMaker Project in AWS is a managed resource that helps set up and organize machine learning initiatives by providing pre-configured templates and best practices. It streamlines the creation of ML environments, enabling teams to quickly establish standardized workflows, integrate with CI/CD pipelines, and manage governance. This resource supports collaboration and consistency across ML development and deployment.

aws.sagemaker_project

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
created_by	core	json	Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
creation_time	core	timestamp	The time when the project was created.
last_modified_by	core	json	Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
last_modified_time	core	timestamp	The timestamp when project was last modified.
project_arn	core	string	The Amazon Resource Name (ARN) of the project.
project_description	core	string	The description of the project.
project_id	core	string	The ID of the project.
project_name	core	string	The name of the project.
project_status	core	string	The status of the project.
service_catalog_provisioned_product_details	core	json	Information about a provisioned service catalog product.
service_catalog_provisioning_details	core	json	Information used to provision a service catalog product. For information, see What is Amazon Web Services Service Catalog.
tags	core	hstore
template_provider_details	core	json	An array of template providers associated with the project.