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Deep learning on AWS

Course Code: 3009
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Overview

This is a one-day course designed as an introduction to cloud-based Deep Learning (DL) solutions on Amazon Web Services (AWS). The course focuses on the key concepts of deep learning. During the course, participants will learn how to run their models on the cloud using Amazon SageMaker, Amazon Elastic Compute Cloud (Amazon EC2)-based Deep Learning Amazon Machine Image (AMI) and MXNet framework. The course equips the participants with the skills and knowledge for deploying the deep learning concepts 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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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 1 day

Live Virtual Classroom
Duration: 1 day

What You'll learn

  • 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

Prerequisites

To attend this course participant must have a basic understanding of machine learning processes, basic understanding of AWS core services like Amazon EC2 and knowledge of AWS SDK and basic knowledge of a scripting language, such as, Python.

Who Should Attend

This course is intended for developers responsible for developing deep learning applications and developers who want to understand concepts behind deep learning and how to implement a deep learning solution on AWS.

This course is highly recommended for:

  • Machine learning developers
  • Data scientists
  • Data engineers
  • Deep learning engineers

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