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
A qui s'adresse cette formation
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
Pré-requis
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
Objectifs
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.
Outline: Deep Learning on AWS (AWSDL)
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
