Amazon SageMaker Documentation

Amazon SageMaker is the center for all your data, analytics, and AI.

Overview

Amazon SageMaker brings data engineering, analytics, machine learning, and AI into a single platform. Built on open formats with your choice of compute engine, it lets you query, transform, train, deploy, and govern in one place. Shared context and consistent governance span the full workflow, so the platform works for data and AI practitioners, external IDEs, and agents. To get started, go to the Amazon SageMaker user guide.

SageMaker diagram

Get started

Access SageMaker

Sign in and navigate the platform.

Set up your domain

Set up an IAM domain and configure your first project.

Tutorials

Run your first SQL query, build a data pipeline, train a model.

Connect and Transform Data

Data Sources and Connections

Connect to S3, Redshift, Glue catalogs, and federated sources.

Data Integration and Processing

Run processing jobs and monitor data quality.

Core Capabilities

Notebooks

Create, run, and schedule notebooks with Spark or Python.

Query Editor

Write and execute SQL queries.

Visual ETL

Build data pipelines visually with 30+ built-in transforms.

SageMaker Data Agent

Ask questions in natural language, get code and insights.

Code Spaces

JupyterLab, Code Editor, bring your own image (BYOI).

Local IDE Support

Connect VS Code, Kiro, or Cursor to your SageMaker environment.

Workflows

Orchestrate serverless and provisioned pipelines.

Data Visualization

Build and share dashboards with Amazon QuickSight.

AI and Machine Learning

Amazon Bedrock in SageMaker

Build agents, flow apps, playgrounds, knowledge bases, and guardrails.

Machine Learning

JumpStart models, training, inference endpoints, MLflow, HyperPod.

Catalog and Governance

SageMaker Catalog

Discover, publish, and subscribe to data products and assets.

Data Governance

Business glossaries, metadata forms, lineage, fine-grained access.

Third-Party Integrations

Atlan, Collibra, Alation catalog connectors.

Platform

Admin Guide

Manage domains, users, permissions, and platform configuration.

Projects

Create, manage, and collaborate in team projects.

Compute

Athena, Redshift, EMR (EC2/EKS/Serverless), Glue ETL.

CI/CD

Deploy across regions and accounts with automated pipelines.

Reference

API Reference

Describes all of the API operations for Amazon SageMaker in detail.

Terminology and Concepts

Learn about key terms, components, and how they relate across the SageMaker platform.

Release Notes

Stay up to date with the latest features, improvements, and fixes for Amazon SageMaker.