Machine Learning on AWS

Innovate faster with the most comprehensive set of AI and ML services

Get deeper insights from your data while lowering costs with AWS machine learning (ML). AWS helps you at every stage of your ML adoption journey with the most comprehensive set of artificial intelligence (AI) and ML services, infrastructure, and implementation resources.

An overview of AI and machine learning services from AWS (1:39)
Build with a proven leader

Solve real-world business problems in any industry and innovate with confidence. Join more than 100,000 AWS customers building on 20+ years of experience at Amazon.

Reinvent customer experiences with generative AI

Build new applications with generative AI using popular foundation models or use services with generative AI built in, all running on the most cost-effective cloud infrastructure for generative AI.

Tailor ML to your business needs

Address common business problems to improve customer experience, optimize business processes, and accelerate innovation. Use ready-made, purpose-built AI services, or your own models with AWS ML services.

Accelerate your ML adoption

Get the support you need along every stage of your ML journey. Kick off your proof of concept with AWS experts, work with 80+ competency partners, and upskill your teams with trainings and hands-on tutorials.

Solve common business problems with AI
Solve common business problems with AI

Solutions to help enhance customer experiences, enable faster and better decision-making, and optimize business processes.

Explore AI use cases »

Easily build generative AI applications
Build generative AI applications

The easiest way to build and scale generative AI applications with foundation models.

Learn more »

Add AI to your business applications
Add AI to your business applications

Purpose-built AI services for speech, vision, documents, and more so developers can get started without any ML experience.

View AI services »

Build, train, and deploy ML models for any use case

Fully managed infrastructure, tools, and workflows for data scientists and ML developers.

View ML services »

Generate ML predictions without writing any code
Generate ML predictions without writing any code

Tools to generate predictions using ML for business analysts across marketing, sales, operations, and finance.

Explore SageMaker for Business Analysts »

Choose the right infrastructure
Choose the right infrastructure

High-performance and low-cost instances optimized for machine learning.

Explore ML infrastructure »


customers are using AWS for their AI/ML workloads


years of building experience at Amazon

Up to 10x

improvement in data scientists' productivity


of algorithms and models on AWS Marketplace

Use cases

Explore the key use cases of AI/ML to improve customer experience, optimize business operations, and accelerate innovation.
Intelligent contact center

Increase customer satisfaction through conversational AI interfaces

Streamline self-service processes and reduce operational costs through chatbots and virtual assistants.

Learn more about conversational AI interfaces 
Intelligent contact center

Enhance the customer service experience

Infuse intelligence into your contact center and reduce costs with automated ML.

Learn more about Contact Center Intelligence (CCI) solutions 

Personalize customer recommendations

Drive customer engagement and conversion with websites tailored to individual visitors—and see your conversion rates soar.

Learn more about personalization 
Intelligent document processing

Automate document data extraction and analysis

Instantly extract text and data from virtually any document, such as loan applications and medical forms, without manual effort.

Learn more about document processing 
Intelligent search

Boost information accuracy and speed

Compile data from siloed and unstructured sources across your organization to drive business productivity and customer satisfaction.

Learn more about intelligent search 
Media intelligence

Maximize the value of media

Apply ML to videos, webpages, APIs, and more to enhance discovery, localization, compliance, and monetization.

Learn more about media intelligence 
Business forecasting

Improve business metrics analysis

Use ML to accurately forecast sales, financial, and demand data, and automatically identify anomalies and their root cause.

Learn more about business metrics analysis 
Fraud detection

Identify fraudulent online activities

Detect and prevent online fraud, such as fake accounts and payment fraud in real-time using ML.

Learn more about fraud detection 
Fraud detection

Add intelligence to your developer operations

Build fast and innovate more with Next Gen DevOps.

Learn more about Next Gen DevOps 
Fraud detection

Modernize your machine learning development process

Accelerate machine learning innovation at scale while reducing costs.

Learn more about ML modernization 


Deliver better personalized experiences

Healthcare and life sciences

Unlock hidden potential in your health data with HIPAA-eligible ML—for petabyte-scale analysis and fast unstructured text and speech documentation.

Learn more: ML for Healthcare

Increase customer engagement

Industrial and manufacturing

Detect abnormal machine behavior, spot defects, enable predictive maintenance, and improve operations with purpose-built Industrial AI services—no ML experience required.

Learn more: ML for Industrial

Personalize every touchpoint

Financial services

Innovate with ML across banking, payments, capital markets, and insurance sectors to improve customer experience with personalization, and virtual assistants and prevent online fraud.

Learn more: ML for Financial Services

Explore AWS machine learning services

Amazon SageMaker

Amazon SageMaker is an ML service enabling data scientists, data engineers, MLOps engineers, and business analysts to build, train, and deploy ML models for any use case, regardless of ML expertise.
Learn more 
Amazon Kendra
Business Analysts
Make ML predictions using a visual interface with Amazon SageMaker Canvas.
Learn more 
Amazon Kendra
Data Scientists
Prepare data, build, train, and deploy ML models using Amazon SageMaker Studio.
Learn more 
Amazon Kendra
MLOps Engineers
Deploy and manage models at scale with Amazon SageMaker MLOps.
Learn more 

AI services

Improve your business outcomes with ready-made intelligence for your applications and workflows—based on the same technology used to power Amazon’s own businesses.

Computer vision

Automated data extraction and analysis

Language AI

Improve customer experience

Business metrics

Code and DevOps

Infrastructure and frameworks

Amazon Monitron
Scalable, high performance, cost-effective infrastructure
Select from the broadest and deepest portfolio of ML infrastructure services with a choice of processors and accelerators to meet your unique needs. Amazon Elastic Compute Cloud (Amazon EC2) instances such as P4d, Inf1 provide the highest performance and lowest cost for ML training and inference in the cloud.
Learn more »
Amazon Panorama Appliance
Choice of ML frameworks and libraries
Customize your ML algorithms with TensorFlow, PyTorch, Apache MXNet, Hugging Face, plus other frameworks and toolkits. Utilize frameworks as a fully managed experience in Amazon SageMaker or use the fully configured AWS Deep Learning AMIs and Containers with open-source toolkits optimized for performance on AWS.
Learn more »

Education and enablement

Upskill your team with hands-on learning
Use educational devices like AWS DeepRacer, AWS DeepLens, and AWS DeepComposer, designed for developers of all skill levels to learn the fundamentals of ML in fun, practical ways.
Learn more »
Build your proof-of-concept (POC)
Join the ML Solutions Lab (MLSL) and create a step-by-step roadmap from your business problems to a successful POC alongside experienced ML experts.
Learn more »
Contact Center Intelligence
Engage partners for implementation support
Speed up ML implementation by working with AWS Machine Learning Competency Partners. Experts in infrastructure and deployment, our partners tailor ML solutions to maximize your investment.
Learn more »


Responsible use of artificial intelligence and machine learning

Responsible use of AI and ML is key to tackling some of humanity’s most challenging problems, augmenting human performance, and maximizing productivity. AWS is committed to developing fair and accurate AI and ML services and providing you with the tools and guidance needed to build AI and ML applications responsibly. 

Learn more »

Accelerate your machine learning journey

Engage with Amazon Machine Learning Solutions Lab

Engage with Amazon experts

The Amazon Machine Learning Solutions Lab pairs your team with Amazon ML experts to build new ML solutions for your business.

Build new machine learning skills in your organization

Build ML Skills in your organization

Build new ML skills in your organization using the same curriculum we use at Amazon—be it business executives, data scientists, or app developers.

Choose your AWS Machine Learning partner

AWS DeepRacer League

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.

Discover Purpose-Built Services, AWS Solutions, Partner Solutions, and Guidance to rapidly address your business and technical use cases.

QnABot on AWS

Deploy a fully functional chatbot across multiple channels including chat, voice, SMS, and Amazon Alexa.

Enhanced Document Understanding on AWS

Deploy an easy-to-use web application that ingests and analyzes documents, extracts content, identifies and redacts sensitive customer information, and creates search indexes from the analyzed data.

Maintaining Personalized Experiences with Machine Learning

Easily create custom recommendation models at scale. This solution streamlines and accelerates the development and deployment of your personalization workloads.

MLOps Workload Orchestrator

Deploy a robust pipeline that uses managed automation tools and ML services to simplify ML model development and production.