AWS Training Partner

This AWS Certification 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.

View all of our AWS Certification Training courses here: https://www.webagesolutions.com/courses/aws-training-courses

Web Age is an approved AWS Training Partner, meaning we have access to the complete AWS official curriculum and Amazon AWS training classes You have access to these AWS Certification training classes with the high level of customer service that you expect from Web Age Solutions.

Objectives

This Amazon AWS Training 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.

Audience

This AWS Certification course is intended 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

Prerequisites

We recommend that attendees of this AWS Certification Training 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

Duration

One day

Outline for Deep Learning on AWS Training

  • 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.