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Deep Learning on AWS Course Overview

The Deep Learning on AWS course provides comprehensive training on AWS’s deep learning solutions. Throughout the course, participants will gain knowledge about the scenarios in which deep learning is applicable and understand the underlying principles of deep learning. Participants will learn how to leverage Amazon SageMaker, a fully managed machine learning service, and the MXNet framework to run deep learning models on the cloud. The course covers the process of training and deploying deep learning models using these tools. Additionally, participants will learn how to deploy their trained deep learning models using services like AWS Lambda. They will explore the design and implementation of intelligent systems on AWS, utilizing the capabilities of deep learning. By the end of the course, participants will have a solid understanding of AWS’s deep learning solutions, the use cases where deep learning is beneficial, and the practical implementation of deep learning models on AWS. They will be equipped with the knowledge and skills to run, deploy, and design intelligent systems using deep learning technologies.

Course Introduction

Price:

USD 300

Duration:

8 Hrs.

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.
A basic understanding of ML processes Knowledge of AWS core services like Amazon EC2 and AWS SDK Knowledge of a scripting language like Python

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