About this Course

Deep Learning on AWS is a one-day course that introduces you to cloud-based Deep Learning 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 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.

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

Learn from the UK's leading AWS training provider

  • Superb satisfaction scores

    99% say their AWS training has led to improved workplace performance

  • Top technical trainers

    Our AWS-certified trainers ensure you get the most out of your training

  • Comprehensive curriculum

    We offer the UK's widest and most up-to-date range of AWS courses

  • Innovative & interactive

    All our AWS courses provide an interactive, hands-on approach

  • Amazon Web Services Partner Network Training Partner

Why people choose QA

Locations

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  • London

    London

    International House

  • Manchester

    Manchester

    Oxford Street

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Detailed Information

This course covers the following concepts:

  • Introduction to Machine Learning
  • Introduction to Deep Learning
    • Lab 1: Setting up a Deep Learning AMI instance and running a multi-layer perceptron model
  • Introduction to MXNet on AWS
    • Lab 2: Running a convolutional neural network model and predicting images on CIFAR-10 dataset
  • Deploying Deep Learning Workloads on AWS
    • Lab 3: Deploying a Deep Learning model for predicting images using AWS Lambda

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

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.

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