AWS offers the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner. Named a leader in Gartner's Cloud AI Developer services' Magic Quadrant, AWS is helping tens of thousands of customers accelerate their machine learning journey.
Explore machine learning services that fit your business needs, and learn how to get started.
Build, train and deploy machine learning models fast
Easily add intelligence to your applications
AI Services for Healthcare and Industrial customers
High performance, cost-effective, scalable infrastructure
Choice and flexibility with the broadest framework support
Start your machine learning journey
"Cerner is proud to drive artificial intelligence and machine learning innovation across a wide range of clinical, financial and operational experiences. Enabled by our collaboration with AWS, we are accelerating scalable innovation for all our clients.”
- Sasanka Are, PhD
Vice President, Cerner
“Machine learning is unlocking potential for us to do more than we otherwise could, in a timely manner with a high degree of confidence”
- Matt Swensson
Vice President of Emerging Products and Technology, NFL
"T-Mobile’s customers like it when they have a personal, human connection with us. Through AWS machine learning, we can reshape how our customers relate to us."
- Cody Sanford
EVP and CIO, T-Mobile
"AWS is our ML platform of choice, unlocking new ways to deliver on our promise of being the world’s travel platform."
- Matthew Fryer
Vice President and Chief Data Science Officer, Expedia Group
Explore AWS Machine Learning services
Amazon SageMaker - Build, train, and deploy machine learning models fast
AI Services - Easily add intelligence to applications. No machine learning skills required
Automated data extraction and analysis
Business metrics analysis
Code and DevOps
Machine Learning Infrastructure – scalable, high performance, and cost-effective
AWS provides the broadest and deepest portfolio of ML infrastructure services with a choice of processors and accelerators to meet your unique performance and budget needs. Amazon EC2 P4d instances provide the highest performance for ML training in the cloud with the latest NVIDIA A100 Tensor Core GPUs coupled with first in the cloud 400 Gbps instance networking. P4d instances are deployed in hyper scale clusters, called EC2 UltraClusters, offering supercomputer-class performance for the most complex ML training jobs. For inference, Amazon EC2 Inf1 instances, powered by AWS Inferentia chips, provide high performance and lowest cost inference in the cloud. Learn more »
Machine Learning frameworks - Choice and flexibility with ML frameworks
Choose from TensorFlow, PyTorch, Apache MXNet, and other popular frameworks to experiment with and customize machine learning algorithms. You can use the framework of your choice as a managed experience in Amazon SageMaker or use the AWS Deep Learning AMIs (Amazon machine images), which are fully configured with the latest versions of the most popular deep learning frameworks and tools. Learn more »
Learning tools - Get hands-on with machine learning
Explore the portfolio of educational devices designed for developers of all skill levels to learn the fundamentals of machine learning in fun, practical ways.
Accelerate your machine learning journey
The Amazon Machine Learning Solutions Lab pairs your team with Amazon machine learning experts to build new machine learning solutions for your business
Build new machine learning skills in your organization using the same curriculum we use at Amazon - be it business executives, data scientists or app developers.
Expand your ML skills by competing in the world’s first global, autonomous racing league, and win prizes as well as a chance to advance to the Championship Cup.