AWS AutoML Solutions

Built-in AutoML across the AWS ML stack

AutoML automates each step of the ML workflow so that it’s easier to use machine learning. AWS provides a range of AutoML solutions for all levels of expertise. For ML practitioners seeking an open source solution we offer AutoGluon and for data scientists who prefer a fully-managed service, we offer Amazon SageMaker which automatically creates models based on your unique use case. Developers or business users without ML experience can take advantage of ready-made solutions for use cases such as computer vision, demand forecasting, intelligent search, and industrial and healthcare verticals.

An Overview of AI and Machine Learning Services From AWS


Spend time on what matters

Spend time on what matters

With AutoML embedded into services, you don’t need to worry about data preparation, feature engineering, algorithm selection, training and tuning, inference, and continuous model monitoring. Instead you can remain focused on the work that has higher impact on your business outcomes.

AutoML for all

AutoML for all

Whether you’re a business user, data scientist, or developer, AWS has AutoML solutions for you. From open source projects like AutoGluon for automated deep learning to Amazon Lookout for Metrics which automatically prepares business metrics data and detects anomalies – you can get started with no ML expertise required.

Full transparency

Full transparency

AWS makes it easy to dive deep into the models generated by AutoML. For example, Amazon SageMaker Autopilot ranks automatically generated models based on performance and, with just a few clicks, you can see how the model was created and what’s in it. SageMaker also gives you access to one-click deployment and tuning of more than 150 open source models.

End-to-end solutions

End-to-end solutions

You can apply ML at scale using the 70+ end-to-end solutions. Solutions solve horizontal use cases including intelligent document processing and computer vision as well as vertical use cases for healthcare and industrial. All solutions can be started with just a few clicks.

What is AutoML?

Automatic machine learning, known as AutoML, removes the tedious, iterative, and time-consuming work across the machine learning workflow from data acquisition to model operationalization, so you can spend less time on low level details and more time on using ML to improve business outcomes. AutoML tools take care of sourcing and preparing data, engineering features, training and tuning models, deploying models, and ongoing model monitoring and updating. 

AutoML for Open Source

AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models on text, image, and tabular data.

AutoML for Amazon SageMaker

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.

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.

AutoML for Language

AutoML for Vision

AutoML for Business Metrics Analysis

AutoML for Code and DevOps

AutoML for 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.

AutoML for Healthcare

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

Explore the AWS ML & AI solutions library

AWS Solution Architectures
AWS Solutions Reference Architectures

I want to browse a library of AWS-vetted architecture diagrams as a reference for my project

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AWS Solutions Constructs
AWS Solutions Constructs

I want to combine pre-built, well-architected multi-service patterns to create my own solutions

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AWS Solutions Implementations
AWS Solutions Implementations

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AWS Solutions Consulting Offers
AWS Solutions Consulting Offers

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