Enable more people to innovate with ML through a choice of tools—IDEs for data scientists and no-code interface for business analysts.
Access, label, and process large amounts of structured data (tabular data) and unstructured data (photo, video, and audio) for ML.
Reduce training time from hours to minutes with optimized infrastructure. Boost team productivity up to 10 times with purpose-built tools.
Automate and standardize MLOps practices across your organization to build, train, deploy, and manage models at scale.
Enable more people to innovate with ML
A wide breadth and depth of features for the ML lifecycle
Support for the leading ML frameworks, toolkits, and programming languages
High-performance, low-cost ML at scale
Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.
What’s New announcements are high-level summaries of launches and feature updates. Read Amazon SageMaker specific updates.
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Learn ML with SageMaker Studio Lab
Learn and experiment with ML using a no-setup, free development environment
Get started faster with a self-paced tutorial
Gain hands-on experience to prepare data and build, train, and deploy ML models
Deploy solutions with SageMaker JumpStart
Pre-built ML solutions that you can deploy with just a few clicks