Tensorflow and PyTorch on AWS

Course description

This course introduces you to the basic concepts of TensorFlow and PyTorch on AWS. The course describes how Amazon SageMaker provides a fully-managed PyTorch experience, and how to use AWS Deep Learning AMIs to build custom environments.

Course objectives

This course is designed to teach you how to:

• Understand the basics of TensorFlow and PyTorch
• Recognize the different ways to train a model on Amazon SageMaker
• Use AWS Deep Learning AMIs to optimize the TensorFlow experience

Intended audience

This course is intended for:

• Solution architects and developers who work with deep learning

Prerequisites

We recommend that attendees of this course have:

• Understanding of deep learning concepts

Course outline

• TensorFlow
• PyTorch
• Amazon SageMaker
• AWS Deep Learning AMIs
• Demo