Deep Learning on AWS

This course introduces you to cloud-based Deep Learning (DL) solutions on Amazon Web Services (AWS). The training will detail how deep learning is useful and explain its different concepts. This course also teaches you how to run your models on the cloud using Amazon SageMaker, Amazon Elastic Compute Cloud (Amazon EC2)-based Deep Learning Amazon Machine Image (AMI) and MXNet framework. In addition, you will gain a better understanding of deploying your deep learning models using AWS services like AWS Lambda and Amazon EC2 Container Service (Amazon ECS) while designing intelligent systems on AWS, based on Deep Learning

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Learning Objectives

This course teaches you how to:

  • Define machine learning and deep learning.
  • Identify the concepts in a deep learning ecosystem.
  • Leverage Amazon SageMaker and MXNet programming framework for deep learning workloads
  • Fit AWS solutions for deep learning deployments.


    Course Details

    Course Outline

    1 - Introduction to Machine Learning
  • 2 - Introduction to Deep Learning
  • 3 - Introduction to MXNet on AWS
  • 4 - Deploying Deep Learning Workloads on AWS
  • Actual course outline may vary depending on offering center. Contact your sales representative for more information.

    Who is it For?

    Target Audience

    This course is intended for:

    Developers responsible for developing Deep Learning applications

    Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS

    Other Prerequisites

    We recommend that attendees of this course have the following prerequisites:

    Basic understanding of machine learning processes

    Basic understanding of AWS core services like Amazon EC2 and knowledge of AWS SDK

    Basic knowledge of a scripting language e.g. Python

    Deep Learning on AWS

    Course Length : 1 Day

    There are currently no scheduled dates for this course. Please contact us for more information.

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