Training: AWS – Deep Learning on Amazon Web Services

Ref. AWS-401

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Duration:

1

day

Exam:

Optional

Level:

Intermediate

Funding:

Eligible

Home > Trainings > IT Pro > Cloud Computing > AWS – Deep Learning on Amazon Web Services

Description

In this 1-day course, you will learn about AWS’s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You will learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You will also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS.

Participant profiles

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

Objectives

Learn how to define machine learning (ML) and deep learning
Learn how to identify the concepts in a deep learning ecosystem
Use Amazon SageMaker and the MXNet programming framework for deep learning workloads
Fit AWS solutions for deep learning deployments

Prerequisites

A basic understanding of ML processes
Knowledge of AWS core services like Amazon EC2 and AWS SDK
Knowledge of a scripting language like Python

Course content

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

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

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)