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Deep Learning on AWS

  • Course Code GK7375
  • Duration 1 day

Public Classroom Price


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Course Delivery

This course is available in the following formats:

  • Class Connect HD

    Connect to a class in HD

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

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Course Overview


Tijdens deze eendaagse training maakt u kennis met de op de cloud gebaseerde Deep Learning (DL)-oplossingen op Amazon Web Services (AWS). De training gaat gedetailleerd in op de verschillende concepten van ‘deep learning’ en hoe het nuttig kan worden ingezet. Ook leer je hoe je modellen kunt loslaten op de cloud met Amazon SageMaker, met het op Amazon Elastic Compute Cloud (Amazon EC2) gebaseerde Deep Learning Amazon Machine Image (AMI) en MXNet framework. Bovendien krijgt u meer inzicht in het gebruik van AWS-services zoals AWS Lambda en Amazon EC2 Container Service (Amazon ECS) bij het ontwerpen van intelligente systemen op AWS gebaseerd op basis van Deep Learning.



Deep Learning on AWS is a one-day course that 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.

Course Schedule

    • Delivery Format: Virtual Learning
    • Date: 07 May, 2021

      Guaranteed  To Run

    • Location: Virtual


    • Delivery Format: Virtual Learning
    • Date: 08 July, 2021
    • Location: Virtual


    • Delivery Format: Virtual Learning
    • Date: 16 July, 2021
    • Location: Virtual
    • Delivery Format: Virtual Learning
    • Date: 02 September, 2021
    • Location: Virtual


    • Delivery Format: Public Classroom
    • Date: 02 September, 2021
    • Location: Zoetermeer (Kinderen v Versteegplein 18)

Target Audience

  • 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

Course Objectives

  • 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 Content


Introduction to Machine Learning

Introduction to Deep Learning

  • Lab 1: Setting up a Deep Learning AMI instance and running a multi-layer perceptron neural network model

Introduction to MXNet on AWS

  • Lab 2: Running a Convolutional Neural Network (CNN) model to predicting images using CIFAR 10 dataset

Deploying Smart Applications on AWS

  • Lab 3: Deploying a Deep Learning model for predicting images using AWS Lambda

Course 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
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