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Deep Learning on AWS (AWSDL)


Quién debería asistir

This course is intended for:

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


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

Objetivos del curso

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, Amazon EC2 Container Service (ECS) while designing intelligent systems on AWS based on deep learning.

Contenido del curso

  • Introduction to Machine Learning
  • Introduction to Deep Learning
  • Lab 1: Spinning up Amazon Deep Learning AMI based on EC2 and preprocessing data
  • Introduction to MXNet on AWS
  • Lab 2: Running a Convolutional Neural Network model and predicting images
  • Deploying Deep Learning Workloads on AWS
  • Lab 3: Deploying Deep Learning model for predicting images using AWS Lambda
Entrenamiento en línea

Duración 1 día

  • Consulta precio y disponibilidad
Classroom training

Duración 1 día

  • Consulta precio y disponibilidad
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Instructor-led Online Training:   Este es un curso en línea Guiado por un Instructor
Este es un curso FLEX, que es entregado tanto virtualmente como en el salón de clase.
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