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SageMaker

AI & MLAWS
General

General information about the service.

Description

Amazon SageMaker is a fully managed service to build, train, and deploy machine learning models.

Service Namespace

AWS::SageMaker::NotebookInstance

ARN Pattern

arn:aws:sagemaker:{region}:{account}:notebook-instance/{name}

References

AWS DocsPricing

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Naming

The conventions, rules, and restrictions for naming this service.

Naming Convention

sm-

Length

1-63

Valid Characters

Letters, numbers, hyphens

Scope

region

Code

Deploy your infrastructure as code using your preferred tooling.

Official DocumentationTerraform
terraform
1resource "aws_sagemaker_notebook_instance" "main" {
2  name          = "sm-${var.environment}"
3  role_arn      = aws_iam_role.sagemaker.arn
4  instance_type = "ml.t3.medium"
5}
Utilities

Utilities to support app deployment or configuration.

AWS ConsoleAWSCloudShellPricing