Who should attend
This course is intended for:
- 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
- AWS core services like Amazon EC2 and knowledge of AWS SDK
- A scripting language like Python
Course Objectives
This course is designed to teach you how to:
- Define machine learning (ML) and deep learning
- 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
Course Content
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.
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