
Deep Learning on AWS (AWSDL)
Chi dovrebbe partecipare
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
Prerequisiti
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
Obiettivi del Corso
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.
Contenuti del Corso
- 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
Schedulazione
Inglese
Fuso orario CET
1 ora spostamento del fuso orario
Spanoglo
4 ore spostamento del fuso orario
5 ore spostamento del fuso orario
6 ore spostamento del fuso orario
7 ore spostamento del fuso orario
8 ore spostamento del fuso orario
Italia
Per informazioni scrivere a info@flane.it
FLEX & Online Training
Di seguito i corsi disponibili in modalità Flex.