sagemaker - Amazon SageMaker Management via CLI
Manage Amazon SageMaker notebooks, training jobs, models, endpoints, and pipelines via AWS CLI.
Tags
Updated: 2026-05-28Capabilities
Typical Inputs
Typical Outputs
What this skill does
- list notebook instances
- describe notebook instance
- list training jobs
- describe training job
- list models
- list endpoints
- describe endpoint
- list endpoint configs
- list processing jobs
- list pipelines
- list pipeline executions
- list experiments
- list model packages
- list transform jobs
- create notebook instance
- start notebook instance
- stop notebook instance
- create presigned notebook URL
- create training job
- stop training job
Inputs
- AWS credentials
- IAM permissions
- SageMaker execution role ARN
- S3 bucket paths
- ECR image URIs
- Model data URLs
- Instance type names
- Notebook instance names
- Training job names
- Model names
- Endpoint names
- Pipeline names
Outputs
- Table listings
- Presigned URLs
- Endpoint responses
- Model artifacts
- Training job status
- Endpoint status
- Pipeline status
- CloudWatch logs
Requirements
- AWS CLI v2
- Valid AWS credentials
- IAM permissions for SageMaker
- SageMaker execution role