Skip to main Content

Deep Learning on AWS

  • Référence GK7375
  • Durée 1 Jour

Classe inter en présentiel Prix

EUR780,00

hors TVA

Demander une formation en intra-entreprise S'inscrire

Modalité pédagogique

La formation est disponible dans les formats suivants:

  • Classe inter à distance

    Depuis n'importe quelle salle équipée d'une connexion internet, rejoignez la classe de formation délivrée en inter-entreprises.

  • Classe inter en présentiel

    Formation délivrée en inter-entreprises. Cette méthode d'apprentissage permet l'interactivité entre le formateur et les participants en classe.

  • Intra-entreprise

    Cette formation est délivrable en groupe privé, et adaptable selon les besoins de l’entreprise. Nous consulter.

Demander cette formation dans un format différent

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 and MXNet framework. In addition, you will gain a better understanding 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.

Prochaines dates

Haut de page
  • 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

Objectifs de la formation

Haut de page
  • 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.

Programme détaillé

Haut de page

Introduction to Machine Learning

Introduction to Deep Learning

  • Lab 1: Spinning up an Amazon SageMaker notebook 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

Pré-requis

Haut de page

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

Bon à savoir

Haut de page

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Cookie Control toggle icon