Machine Learning for Free on AWS

Free offers and services you need to build, deploy, and run machine learning applications in the cloud

Free Product Offers

Build machine learning solutions using these product offers from the AWS Free Tier

Amazon SageMaker

A fully managed platform to build, train, and deploy machine learning models

  • 250 hours per month of t2.medium notebook usage for the first two months
  • 50 hours per month of m4.xlarge for training for the first two months
  • 125 hours per month of m4.xlarge for hosting for the first two months

Amazon Polly

Turn text into lifelike speech

  • 5 Million characters per month

Amazon Rekognition

A deep learning-based image recognition service

  • Analyze 5,000 images per month
  • Store up to 1,000 face metadata per month

Amazon Comprehend

Continuously trained and fully managed natural language processing (NLP)

  • 50K units of text (5M characters) for each API per month
  • 5 Topic Modeling Jobs up to 1MB each per month for the first 12 months

Amazon Lex

Build Voice and Chat Text Chatbots

  • 10,000 text requests per month
  • 5,000 speech requests per month

Amazon Transcribe

Add speech-to-text capability to your applications with automatic speech recognition

  • 60 minutes per month

Get Started for Free

Learn more about AWS Machine Learning

Browse through our collection of videos to deepen your knowledge and experience with AWS

Introduction to Amazon SageMaker
Introducing Amazon Comprehend
Introduction to Amazon Rekognition

10-Minute Tutorials

Start with these free and simple tutorials to explore AWS machine learning services

  • Detect, Analyze, and Compare faces with Amazon Rekognition

    In this tutorial, In this tutorial, you will learn how to use the face recognition features in Amazon Rekognition using the AWS Console. Amazon Rekognition is a deep learning-based image and video analysis service.

    In this tutorial, you will use Amazon Rekognition to analyze an image and then compare it to other images to see if the faces are the same.

    This tutorial is a demo of the functionality that is available when using the AWS CLI or the Rekognition API. For production or proof of concept implementations, we recommend using these programmatic interfaces rather than the Amazon Rekognition Console.

    Learn more »

  • Add Voice to your Wordpress Site with Amazon Polly

    In this tutorial, you will use the Amazon Polly for WordPress plugin to add text-to-speech capability to a WordPress installation. Amazon Polly is a service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice, enabling you to create applications that talk, and build entirely new categories of speech-enabled products.

    Learn more »

  • Analyze Sentiment in Text with Amazon Comprehend

    In this step-by-step tutorial, you will learn how to use Amazon Comprehend for sentiment analysis.

    Amazon Comprehend uses machine learning to find insights and relationships in text. Amazon Comprehend provides keyphrase extraction, sentiment analysis, entity recognition, topic modeling, and language detection APIs so you can easily integrate natural language processing into your applications.

    Learn more »

  • Analyze Video and Extract Rich Metadata with Amazon Rekognition

    In this tutorial, you will learn how to use the video analysis features in Amazon Rekognition Video using the AWS Console. Amazon Rekognition Video is a deep learning powered video analysis service that detects activities and recognizes objects, celebrities, and inappropriate content.

    Learn more »

Start building Machine Learning solutions today