Who is the course 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
What we teach you
- 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.
Required skills
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
Teaching methods
Professional explanation with practical samples and examples.
Teaching materials
Amazon guide book for this course.
Course outline
- 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