POST
/#X-Amz-Target=SageMaker.StartNotebookInstance
http://api.sagemaker.{region}.amazonaws.com/#X-Amz-Target=SageMaker.StartNotebookInstanceLaunches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, SageMaker sets the notebook instance status to <code>InService</code>. A notebook instance's status must be <code>InService</code> before you can connect to your Jupyter notebook.
Access Token Required: API Key
Responses
{
"success": true,
"data": {
"id": "abc123",
"created_at": "2025-01-01T00:00:00Z"
}
}{
"success": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid request parameters"
}
}Language
CredentialsAPI KEY
API Key
Enter token below to save for later
cURL Request
1curl --request POST \2 --url 'http://api.sagemaker.{region}.amazonaws.com/#X-Amz-Target=SageMaker.StartNotebookInstance' \3 --header 'accept: application/json' \4 --header 'content-type: application/json'Response
1{2 "success": true,3 "data": {4 "id": "abc123",5 "created_at": "2025-01-01T00:00:00Z"6 }7}