Home
Courses
Deep Learning on AWS (AWSDL)

Deep Learning on AWS (AWSDL)

Course 1751

Duration: 1 day
Language: English
Level: Intermediate

Get This Course £700

1-day instructor-led training course
Official AWS training curriculum

Include dates with afternoon start times

#1751

Nov 11 9:00 AM - 5:00 PM GMT

London or WebEx
Jan 12 9:00 AM - 5:00 PM GMT

London or WebEx
Apr 20 9:00 AM - 5:00 PM BST

London or WebEx
Jul 13 9:00 AM - 5:00 PM BST

London or WebEx

Bring this or any training to your organisation
Full-scale program development
Delivered when, where, and how you want it
Blended learning models
Tailored content
Expert team coaching

#1751

Deep Learning ILT introduces you to cloud-based deep learning solutions on AWS. In this course, we will detail how deep learning is useful and explain the different concepts in deep learning. This course also teaches you how to run your models on the cloud using Amazon EC2-based Deep Learning AMI and MXNet framework. This course will help you gain a better understanding of deploying your deep learning models using AWS services like AWS Lambda, and Amazon EC2 Container Service (ECS) while designing intelligent systems on AWS based on deep learning.

Deep Learning on AWS (AWSDL) Delivery Methods

In-Person
Online

Deep Learning on AWS (AWSDL) Course Information

In this Deep Learning on AWS (AWSDL) course, you will learn 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.
Deep Learning on AWS (AWSDL) Prerequisites

We recommend that attendees of this course have the following prerequisites:
- Basic understanding of ML processes
- Basic understanding of AWS core services like EC2 and knowledge of AWS SDK
- Basic knowledge of a scripting language e.g. Python

Deep Learning on AWS (AWSDL) Course Outline

Module 1: Machine learning overview

A brief history of AI, ML, and DL
The business importance of ML
Common challenges in ML
Different types of ML problems and tasks
AI on AWS

Module 2: Introduction to deep learning

Introduction to DL
The DL concepts
A summary of how to train DL models on AWS
Introduction to Amazon SageMaker
Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model

Module 3: Introduction to Apache MXNet

The motivation for and benefits of using MXNet and Gluon
Important terms and APIs used in MXNet
Convolutional neural networks (CNN) architecture
Hands-on lab: Training a CNN on a CIFAR-10 dataset

Module 4: ML and DL architectures on AWS

AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk)
Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition)
Hands-on lab: Deploying a trained model for prediction on AWS Lambda

Need Help Finding The Right Training Solution?

Our training advisors are here for you.

Deep Learning on AWS (AWSDL) Course FAQs

This course is intended for:

Developers responsible for developing DL applications
Developers who want to understand the concepts behind deep learning and how to implement a DL solution on AWS

Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want.