Deep Learning on AWS
Self-Paced
Learning Style
Amazon Web Services
Provider
Beginner
Difficulty
1 Hour
Course Duration
Course Info
Certificate
{{startDate}}
9:00 AM - 5:00 PM CST
Duration - 0 Days -
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Deep Learning on AWS introduces you to deep learning concepts and their various applications.
You'll learn 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 how to design and deploy your deep learning models using AWS services.
Course Information
About this course:
In this course we will learn of AWS Deep learning which is being offered by AWS Cloud. There will be theoretical section of each AWS Deep Learning .This course is for those who loves Deep learning and wanted to get started with build application based on cognitive computing , AI and Deep learning, very basic introduction to deep learning in AWS
You could integrate these services in your Web, Android, IoT, Desktop Applications like Face Detection, ChatBot, Voice Detection, Text to custom Speech (with pitch, emotions, etc), Speech to text, Sentimental Analysis on Social media or any textual data.
For Code Repo please follow this link :https://github.com/emmanueltsukerman/DeepLearningOnAWS
Course Objective:
- Introduction to Amazon EC2
- Deep learning with EC2
- Amazon Sage Maker introduction
Audience:
- People interested in learning about Deep learning
- How to use Deep learning with AWS
Prerequisite:
- Basic programming in python.
- Basic knowledge of data science.
Outline
More Information
| Brand | Amazon Web Services |
|---|---|
| Subjects | Cloud Computing |
| Lab Access | No |
| Technology | AWS |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Beginner |
| Course Duration | 1 Hour |
| Language | English |
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Course Expert:
Paul Jackson
Paul has over 2 decades of of technical experience as a senior engineer, operations manager & project lead.
He has had hands-on impact within internal IT infrastructure, as well as in hundreds of unique customer environments that resulted in an in-depth knowledge of a wide range of security, identity, cloud, and infrastructure products & features; and a breadth of knowledge in associated network devices and applications.
His specialties include:
Identity, AD, Azure AD, Azure AD Connect, Azure MFA, ADFS, WAP, e-Gap, IAG, UAG, Firewalls, DirectAccess, Load balancers, PKI, Troubleshooting application and network issues, quickly learning new applications/technologies, building and leading tech teams, project management, creating scalable processes.
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