aws-sagemaker-domain

Amazon SageMaker Domain and User Profile is a fully managed service from AWS that helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.

Use Cases

Machine Learning Development and Deployment

SageMaker provides a complete set of features to take your ML models from idea to deployment, including data labeling, data preparation, algorithm selection, training, tuning, deployment, and management.

Data Wrangling

With SageMaker, you can clean, transform, and visualize your data with an easy-to-use visual interface.

Experiment Management

SageMaker provides tools to track, compare, and evaluate ML experiments and model versions.

Managed Jupyter Notebooks

SageMaker provides fully managed Jupyter notebooks that require no setup, so you can start analyzing your data quickly.

Design

This bundle is designed around the speicific use-case of creating a SageMaker model and for storing the model’s assets in an S3 bucket.

Decommissioning

Before decomissioning this bundle, you must delete SageMaker apps associated with the user profile. SageMaker Studio creates a default app for each user profile.