Provides a conceptual overview of Amazon SageMaker, includes detailed instructions for using the various features, and provides a complete API reference for developers.



Simplify using Amazon SageMaker in your applications with an API tailored to your programming language or platform.

Video Presentations

Introducing Amazon SageMaker

This presentation introduces you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. You'll also hear how and why Intuit is using Amazon SageMaker on AWS for real-time fraud detection. (1:02:07)

Diving Deeper with Amazon SageMaker

This webinar dives deeper into Amazon SageMaker, with demos on using neural networks and embeddings for recommendations, and how you can bring your own R algorithm using the sample Juptyer notebooks to get you started. (30:20)

Infinitely Scalable Machine Learning Algorithms with Amazon AI

Amazon AI algorithms are a collection of distributed streaming ML algorithms that scale to any amount of data. This presentation describes the distributed streaming model and its numerous benefits to machine learning practitioners, as well as how to invoke large scale learning from Amazon SageMaker. (54:08)

Getting Started: A Walk-through of Amazon SageMaker

Walk though an overview of how to build, train and deploy machine learning models on Amazon SageMaker, with AWS Evangelist, Julien Simon. (33:05)

Blog Posts

Amazon SageMaker on the AWS ML Blog
Saurabh Gupta and Vineet Khare
January 18, 2018
Amazon SageMaker on the AWS ML Blog
AWS Core Machine Learning teams
January 8, 2018
Amazon SageMaker on the AWS ML Blog

Build Amazon SageMaker notebooks backed by Spark in Amazon EMR

Thomas Hughes and Stefano Stefani
January 5, 2018

Learn more about Amazon SageMaker features

Visit the features pages
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