Deep learning on Aws
In this one-day course, you'll learn cloud-based deep learning solutions on the AWS platform. You'll learn how to run your models on the cloud using Amazon EC2‒based deep learning Amazon Machine Image (AMI) and Apache MXNet on AWS frameworks.
In addition, you'll learn how to use Amazon SageMaker and deploy your deep learning models using AWS services like AWS Lambda and Amazon Elastic Container Service (Amazon ECS), all while designing intelligent systems on AWS.
Utbildningsformer
Remote
Längd
1 dag
Pris
Target Group
Who should take this course
- Developers who are 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
Goal
What you'll learn
- Define machine learning and deep learning
- Identify the concepts in a deep learning ecosystem
- Leverage Amazon SageMaker and MXNet programming frameworks for deep learning workloads
- Fit AWS solutions for deep learning deployments
- And much more
Prerequisites
What experience you'll need
- An understanding of machine learning processes
- Knowledge of AWS core services like Amazon EC2 as well as the AWS SDK
- Proficiency in a scripting language like Python
Course Content
Course outline
- 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