Deep Learning on AWS

Course 1247

  • Duration: 1 day
  • Language: English
  • Level: Intermediate

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.

Deep Learning on AWS Delivery Methods

  • Official AWS training curriculum

  • Attend in-class or online

Deep Learning on AWS Course Benefits

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

AWS Deep Learning Course Outline

  • Software Tools

    • AWS
  • Requirements

    • 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
  • Who Should Attend This Course

    • 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
  • This Course Teaches You How To:

    • 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.

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Deep Learning on AWS FAQs

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