Project class

Provides a SageMaker AI Project resource.

> Note: If you are trying to use SageMaker AI projects with SageMaker AI studio you will need to add a tag with the key sagemaker:studio-visibility with value true. For more on requirements to use projects and permission needed see AWS Docs.

Example Usage

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const example = new aws.sagemaker.Project("example", {
    serviceCatalogProvisioningDetails: {
        productId: exampleAwsServicecatalogProduct.id,
    },
    projectName: "example",
});

import pulumi
import pulumi_aws as aws

example = aws.sagemaker.Project("example",
    service_catalog_provisioning_details={
        "product_id": example_aws_servicecatalog_product["id"],
    },
    project_name="example")

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() =>
{
    var example = new Aws.Sagemaker.Project("example", new()
    {
        ServiceCatalogProvisioningDetails = new Aws.Sagemaker.Inputs.ProjectServiceCatalogProvisioningDetailsArgs
        {
            ProductId = exampleAwsServicecatalogProduct.Id,
        },
        ProjectName = "example",
    });

});

package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/sagemaker"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := sagemaker.NewProject(ctx, "example", &sagemaker.ProjectArgs{
			ServiceCatalogProvisioningDetails: &sagemaker.ProjectServiceCatalogProvisioningDetailsArgs{
				ProductId: pulumi.Any(exampleAwsServicecatalogProduct.Id),
			},
			ProjectName: pulumi.String("example"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

pulumi {
  required_providers {
    aws = {
      source = "pulumi/aws"
    }
  }
}

resource "aws_sagemaker_project" "example" {
  service_catalog_provisioning_details = {
    product_id = exampleAwsServicecatalogProduct.id
  }
  project_name = "example"
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.sagemaker.Project;
import com.pulumi.aws.sagemaker.ProjectArgs;
import com.pulumi.aws.sagemaker.inputs.ProjectServiceCatalogProvisioningDetailsArgs;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var example = new Project("example", ProjectArgs.builder()
            .serviceCatalogProvisioningDetails(ProjectServiceCatalogProvisioningDetailsArgs.builder()
                .productId(exampleAwsServicecatalogProduct.id())
                .build())
            .projectName("example")
            .build());

    }
}

resources:
  example:
    type: aws:sagemaker:Project
    properties:
      serviceCatalogProvisioningDetails:
        productId: ${exampleAwsServicecatalogProduct.id}
      projectName: example

Import

Using pulumi import, import SageMaker AI Projects using the projectName. For example:

$ pulumi import aws:sagemaker/project:Project example example