AWS has the broadest and deepest set of machine learning and AI services for your business.

ML Services

ML Services

Build, train, and deploy ML fast

AI Services

AI Services

Easily add intelligence to your applications

Frameworks

Frameworks

Choice and flexibility with broadest framework support

Compute

Compute

Fastest and lowest-cost compute options

Analytics and Security

Analytics and Security

Comprehensive capabilities, no compromise

Learning Tools

Learning Tools

Get deep on ML with AWS DeepRacer and DeepLens

From the world's largest enterprises to emerging start-ups, more machine learning is built on AWS than anywhere else.

AWS customers use machine learning to improve the quality of healthcare, fight human trafficking, provide better customer service, and protect you from fraud. With the broadest and deepest set of machine learning and AI services, they are creating new insights, enabling new efficiencies, and making more accurate predictions. That's why more than 10,000 customers have chosen to use AWS for machine learning.

+10,000

customers choose AWS for machine learning

89%

of deep learning projects in the cloud run on AWS

85%

of TensorFlow projects in the cloud happen on AWS

83%

of PyTorch projects in the cloud happen on AWS

Download E-books

Dive deeper, develop an effective strategy, and start leveraging the full power of machine learning technologies.

The Machine Learning Journey

The lack of a singular proven path to machine learning success is making businesses unsure of how to take the next (or even the first) step on the journey.

This e-book is designed to help businesses forge ahead, outlining a proven path from first step to measuring results—with insights from Amazon’s own machine learning heritage and its experience helping thousands of customers realize their own initiatives.

The Machine Learning Journey

Read this e-book to learn more about:

  • Path to unlock the power of machine learning
  • Machine learning challenges and roadblocks, and steps to overcome
  • Real-world applications
  • Taking the next steps with AWS

The TCO of Amazon SageMaker

In this e-book, we look at how Amazon SageMaker, an end-to-end machine learning service to build, train, and deploy models at scale is improving data scientist productivity by up to 10x; helping customers accelerate their ML initiatives from POC to Production; and significantly reducing the total cost of ownership relative to other cloud-based ML solutions.

Learn how you can achieve 54% lower TCO compared to other cloud based ML options – over a 3-year horizon, using Amazon SageMaker.

The TCO of Amazon SageMaker

Read this e-book to learn more about:

  • TCO of Amazon SageMaker from building, training, to deployment
  • How others maximize cost-saving, productivity, and efficiency
  • Applications and how to determine your TCO

Implementing AI: From Exploration to Execution

AI and Machine Learning are widely recognized as a transformative set of technologies that will fuel competitive advantage, innovation, and growth. How are leaders in AI adoption identifying their most promising use cases and choosing the most appropriate technology infrastructure? How are they confronting implementation challenges?

Read on to get the best practices, use cases, and learnings from the leaders in AI adoption.

Implementing AI: From Exploration to Execution

Read this e-book to learn more about:

  • Best practices and learnings from early adopters of AI
  • Opportunities, case studies, and industrial applications of AI
  • How to scale and integrate AI cross the organization


Enterprise Machine Learning Guide

According to Gartner, the global business value derived from artificial intelligence (AI) is projected to reach $3.9 trillion in 2022.

Machine learning presents new opportunities to realize foundational gains such as efficiency and cost saving, as well as higher-value gains such as product innovation and spurring discovery and research. But how do organizations get started?

Read on to learn how you can leverage machine learning to meet existing and future business and IT needs.

Enterprise Machine Learning Guide

Read this e-book to learn more about:

  • Defining your use cases for machine learning innovation
  • Overcoming barriers in machine learning adoption and how to scale across the organization
  • Real-world applications and business outcomes
Featured Customers

AWS helps you move faster, operate more securely, and save substantial costs; all while benefitting from the agility, scale and performance of the cloud.


Get Started with Amazon SageMaker

Get started building with Amazon SageMaker in the AWS Management Console.
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