Deep Learning on AWS

AWSDLA
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Praha (610 €)

Brno (na vyžádání)

Bratislava (610 €)

Deep Learning on AWS is a one-day course that introduces you to cloud-based Deep Learning 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 Elastic Compute Cloud (Amazon EC2)-based Deep Learning Amazon Machine Image (AMI) and MXNet framework. In addition, you will gain a better understanding of 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.

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

Define machine learning and deep learning.
Identify the concepts in a deep learning ecosystem.
Leverage MXNet programming framework for deep learning workloads
Fit AWS solutions for deep learning deployments.

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

Studijní materiál AWS

Introduction to Machine Learning
Introduction to Deep Learning
Lab 1: Setting up a Deep Learning AMI instance and running a multi-layer perceptron model
Introduction to MXNet on AWS
Lab 2: Running a convolutional neural network model and predicting images on CIFAR-10 dataset
Deploying Deep Learning Workloads on AWS
Lab 3: Deploying a Deep Learning model for predicting images using AWS Lambda

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Deep Learning on AWS

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