Amazon SageMaker Documentation
Bringing together AWS machine learning and analytics capabilities, this
next generation of Amazon SageMaker provides an integrated experience for analytics and AI with
unified access to all of your data. Collaborate and build faster with Amazon SageMaker Unified
Studio (preview) using familiar AWS tools for model development, generative AI,
big data processing, and SQL analytics, accelerated by Amazon Q Developer, the most capable
generative AI assistant for software development. Access all of your data whether it's stored in
data lakes, data warehouses, third party, or federated sources with Amazon SageMaker Lakehouse.
Get built-in governance with Amazon SageMaker Data and AI Governance to align with your
enterprise security needs.
Amazon SageMaker Unified Studio (preview)
Amazon SageMaker AI
Amazon Bedrock IDE integrated in Amazon SageMaker Unified Studio (preview)
Responsible AI
Reference
- Use the AWS SDK for Python (Boto3) to format model data and build applications to build, train, and deploy machine learning models.
PrivacySite termsCookie preferences
© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.