Deep Learning on AWS

Asseco Academy » Katalog szkoleń » Deep Learning on AWS

Szkolenie AWS_DL_Z

Rozwiązania IT AWS Dane, Analityka, AI i ML Dane, Analityka, AI i ML Dane, Analityka, AI i ML

Akredytacja

Opis szkolenia

In this course, you’ll learn about AWS’s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You’ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You’ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS.

Learn To

Learn how to define machine learning (ML) and deep learning
Learn how to identify the concepts in a deep learning ecosystem
Use Amazon SageMaker and the MXNet programming framework for deep learning workloads
Fit AWS solutions for deep learning deployments

Target audience

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

Prerequisites

We recommend that attendees of this course have:

A basic understanding of ML processes
Knowledge of AWS core services like Amazon EC2 and AWS SDK
Knowledge of a scripting language like Python

Zakres

Module 1: Machine learning overview

A brief history of AI, ML, and DL
The business importance of ML
Common challenges in ML
Different types of ML problems and tasks
AI on AWS

Module 2: Introduction to deep learning

Introduction to DL
The DL concepts
A summary of how to train DL models on AWS
Introduction to Amazon SageMaker
Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model

Module 3: Introduction to Apache MXNet

The motivation for and benefits of using MXNet and Gluon
Important terms and APIs used in MXNet
Convolutional neural networks (CNN) architecture
Hands-on lab: Training a CNN on a CIFAR-10 dataset

Module 4: ML and DL architectures on AWS

AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk)
Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition)
Hands-on lab: Deploying a trained model for prediction on AWS Lambda