Training: AWS – Deep Learning on Amazon Web Services

Ref. AWS-15
Duration:
1
 day
Exam:
Optional
Level:
Intermediate

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)

Documentation

  • Digital courseware included

Lab / Exercises

  • Official AWS Labs

Complementary courses

Temptraining funding

ITTA is a partner of Temptraining, the continuing education fund for temporary workers. This training fund can subsidize continuing education for anyone who works for an employer subject to the Collective Work Agreement (CCT) Rental of services.
Prix de l'inscription
CHF 900.-
Inclus dans ce cours
  • Official AWS Training Program
  • Training provided by a certified trainer
  • Documentation in digital format
  • Achievement Badge

ven23Aoû09:00ven17:00VirtuelVirtual Etiquettes de sessionAWS-15

Horaires d’ouverture

Du lundi au vendredi, de 8:30 à 18:00.

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Monday to Friday, from 8:30 am to 06:00 pm.

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