Tensorflow and PyTorch on AWS

Bhagya · July 25, 2022

Course Information

Difficulty: Fundamental

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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

Course Instructor

Author

Tensorflow and PyTorch on AWS

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Course Information

Difficulty: Fundamental

Categories: