Deep Learning on AWS is a one-day course that introduces you to cloud-based Deep Learning (DL) 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 SageMaker, 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.
This course is designed for
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
By actively participating in this course, you will learn about the following:
Define machine learning and deep learning.
Identify the concepts in a deep learning ecosystem.
Leverage Amazon SageMaker and MXNet programming framework for deep learning workloads
Fit AWS solutions for deep learning deployments.
We recommend that attendees of this course have:
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
Introduction to Machine Learning
Introduction to Deep Learning
Lab 1: Setting up a Deep Learning AMI instance and running a multi-layer perceptron neural network model
Introduction to MXNet on AWS
Lab 2: Running a Convolutional Neural Network (CNN) model to predicting images using CIFAR 10 dataset
Deploying Smart Applications on AWS
Lab 3: Deploying a Deep Learning model for predicting images using AWS Lambda
There is no exam directly relating to this course.
This training course provided by Skilltec is accredited through Global Knowledge Training Ltd. Global Knowledge Training Ltd are the authorised learning partner; all trademarks and partner statuses are provided through them.