AWS Deep Learning AMIs developer resources

Documentation & forum

Developer guide

Provides a overview of the AWS Deep Learning AMIs, including detailed instructions for selecting the right AMI for your project, setting up the AMI, as well as quick and easy tutorials to get you started. 



Community forum

Start a discussion with other machine learning practitioners, and post your questions in the AWS Deep Learning AMIs community forum.

10-minute tutorials

Launch an AWS Deep Learning AMI

In this step-by-step tutorial, you'll learn how to launch an AWS Deep Learning AMI. The AMIs are machine images loaded with deep learning frameworks that make it simple to get started with deep learning in minutes. Start the tutorial >>


Keep up with the latest announcements about the AWS Deep Learning AMIs, technical blogs and customer stories.

AWS ML/AI blog | What's New announcements

No blog posts have been found at this time. Please see the AWS Blog for other resources. 

Video presentations

Introduction to Deep Learning

Learn about popular deep learning frameworks such as Apache MXNet and TensorFlow, and how to select the right fit for your targeted use cases.

Deep Learning with Apache MXNet and Gluon

Program deep learning models using Gluon, the intuitive, dynamic programming interface  for Apache MXNet.

Enabling Deep Learning in IoT applications with Apache MXNet

Learn how to use deep learning in IoT applications using Apache MXNet

Amazon SageMaker for machine learning

Learn more about Amazon SageMaker

Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Have more questions?
Contact us