- Course overview
- Course details
- Prerequisites
Course overview
About this course
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.
Audience profile
- 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
At course completion
You will be able to learn:
- 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.
Course details
Modules:
- 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
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
Enquiry
Course : Deep Learning on AWS
Enquiry
request for : Deep Learning on AWS
