Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Amazon Web Services

Tensorflow and PyTorch on AWS

Amazon Web Services and Amazon via AWS Skill Builder

Overview

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

Reviews

Start your review of Tensorflow and PyTorch on AWS

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.