Machine Learning on AWS

Putting machine learning in the hands of every developer

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. AWS is helping more than one hundred thousand customers accelerate their machine learning journey.

Explore machine learning services that fit your business needs, and learn how to get started.

An Overview of AI and Machine Learning Services From AWS

ML Services

Build, train and deploy machine learning models fast

AI Services

Easily add intelligence to your applications

Industry Specific Solutions

AI Services for Healthcare and Industrial customers

ML Infrastructure

High performance, cost-effective, scalable infrastructure

Deep Learning Frameworks

Choice and flexibility with the broadest framework support

Getting Started

Start your machine learning journey

Customers

View all customers »

Explore AWS Machine Learning services

Amazon SageMaker - Build, train, and deploy machine learning models fast

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy ML models at scale. It removes the complexity from each step of the ML workflow so you can more easily deploy your ML use cases, anything from predictive maintenance to computer vision to predicting customer behaviors.

Amazon SageMaker Studio

SageMaker Studio is the first fully integrated development environment for machine learning, to build, train, and deploy ML models at scale.

Amazon SageMaker Autopilot

SageMaker Autopilot is the industry’s first automated machine learning capability that gives you complete visibility into your ML models.

Amazon SageMaker Ground Truth

SageMaker Ground Truth makes it easy to build highly accurate training datasets for ML using custom or built-in data labeling workflows for 3D point clouds, video, images, and text.

NEW! Amazon SageMaker JumpStart

SageMaker JumpStart provides a set of solutions for common ML use cases and provides one-click deployable ML models and algorithms from popular model zoos.

NEW! Amazon SageMaker Data Wrangler

SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for ML from weeks to minutes.

NEW! Amazon SageMaker Feature Store

SageMaker Feature Store is a purpose-built repository to store, update, retrieve, and share ML features.

NEW! Amazon SageMaker Clarify

SageMaker Clarify brings transparency to your models by detecting bias across the ML workflow and explaining model behavior.

NEW! Amazon SageMaker Debugger

SageMaker Debugger optimizes ML models with real-time monitoring of training metrics and system resources.

Amazon SageMaker Model Monitor

SageMaker Model Monitor allows you to detect and remediate concept drift to keep models accurate overtime.

NEW! Distributed Training

Train large deep learning models faster by automatically partitioning your model and training data with distributed training on Amazon SageMaker.

NEW! Amazon SageMaker Pipelines

SageMaker Pipelines is the first easy-to-use continuous integration and continuous delivery (CI/CD) service for ML.

NEW! Amazon SageMaker Edge Manager

SageMaker Edge Manager helps you efficiently mange and monitor ML models running on edge devices.

AI Services - Easily add intelligence to applications. No machine learning skills required

AI Services provide ready-made intelligence for your applications and workflows to help you improve business outcomes - based on the same technology used to power Amazon’s own businesses. You can build AI-powered applications without any machine learning expertise.

Intelligent search

Help customers and employees find what they need quickly by adding natural language search to your websites and applications.

Amazon Kendra »

Personalized recommendations

Personalize experiences for your customers using machine learning technology perfected from years of use on Amazon.com.

Amazon Personalize »

Contact Center Intelligence

Improve your customer service experience and reduce costs with machine learning.

Learn more »

Amazon Lookout for Vision »

NEW! Improve operations with CV at the edge

Improve operations by automating monitoring and visual inspection tasks like evaluating manufacturing quality, finding bottlenecks in industrial processes, and assessing worker safety within facilities.

AWS Panorama »

Image and video analysis

Add image and video analysis to your applications to catalog assets, automate media workflows, and extract meaning.

Amazon Rekognition »

Language AI

Bots and virtual agents

Easily build conversational agents to improve customer service and increase contact center efficiency.

Amazon Lex »

Speech to text

Easily add high-quality automatic speech recognition capabilities to your applications and workflows.

Amazon Transcribe »

Text to speech

Turn text into life-like speech to give your applications a voice.

Amazon Polly »

Code and DevOps

NEW! Improve application availability

Simplify the way you measure and improve an application's operational performance and reduce expensive downtime.

Amazon DevOps Guru »

NEW! Automated code reviews

Find critical issues, security vulnerabilities and hard-to-find bugs during application development to improve Java and Python code quality.

Amazon CodeGuru Reviewer »

Find your most expensive lines of code

Understand the runtime behavior of applications, identify and remove code inefficiencies, improve performance, and significantly decrease compute costs.

Amazon CodeGuru Profiler »

Industrial

From detecting abnormal machine behavior with sensor data to improving operations with computer vision, these purpose-built AI services help industrial customers transform their business – no machine learning experience required.

NEW! Detect abnormal machine behavior and enable predictive maintenance

End-to-end system that includes sensors to capture vibration and temperature data from equipment, a gateway device, and a mobile app to receive reports on operating behavior and alerts on potential machine failures.

Amazon Monitron »

NEW! Detect abnormal equipment behavior by analyzing sensor data

Uses data from sensors to detect abnormal equipment behavior, so you can take action before machine failures occur and avoid unplanned downtime.

Amazon Lookout for Equipment »

NEW! Spot product defects using CV to automate quality inspection

Use computer vision (CV) to identify missing components in products, damage to vehicles or structures, irregularities in production lines— or any other physical item where quality is important.

Amazon Lookout for Vision »

NEW! Improve operations with CV at the edge

AWS Panorama »

NEW! Turn existing onsite cameras into edge devices

Turn existing onsite cameras into powerful edge devices with the processing power to analyze video feeds from multiple cameras in parallel.

AWS Panorama Appliance »

NEW! Build AWS Panorama-enabled smart cameras

Hardware manufacturers can build new AWS Panorama enabled devices that run more meaningful CV models at the edge.

AWS Panorama SDK »

Healthcare

HIPAA-eligible services that use machine learning to unlock the potential of health data.

NEW! Make sense of health data

Healthcare providers, health insurance companies, and pharmaceutical companies can store, transform, query, and analyze health data at petabyte scale.

Amazon Healthlake »

Medical text analytics

Extract relevant medical information from unstructured text sources such as doctors’ notes, clinical trial reports, and patient health records.

Amazon Comprehend Medical »

Medical transcriptions

Accurately transcribe medical speech to document clinical conversations, capture medical dictation, or subtitle telehealth visits.

Amazon Transcribe Medical »

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 and libraries - Choice of frameworks and toolkits, optimized for AWS

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 and Deep Learning Containers, which are fully configured with the latest versions of the most popular deep learning frameworks and open source toolkits, optimized for performance on the AWS network and infrastructure. For example, Amazon SageMaker now provides an optimized Hugging Face transformers library providing 38% performance improvement over the open source implementation. 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.

AWS DeepRacer