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Containers in AWS - ECS, EKS

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• Date: Wednesday Nov. 13, 2019
• Location: Stone Classroom, Mann Library (https://mannlib.cornell.edu/use/spaces/all/stone-classroom)
• Cost: $0
• Register: https://cornell.qualtrics.com/jfe/form/SV_dckdOaEJO9fWYkd
• Bring: 
  • Your own laptop might be easier to use, but there are also workstations in the training room.
  • Your own lunch/snacks
• Limit: 27 students
• Zoom/Remote Option: No

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Agenda

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00 PM

Time	Topic	Description
9:00 AM – 9:15 AM	Welcome and Introductions
9:15 AM – 10:00 AM	Module 1: Introduction to AI\ML Services in AWS	The goal of this module is to provide an overview and introduction to AI\Ml services that are currently offered by AWS.
10:00 AM - 1011:30 00 AM	Module 2
10:30 AM - 10:45 AM	Break
: Amazon Lex Lab	Within this lab, participants will have the opportunity to create a Chatbot leveraging Amazon Lex.
11:00 10:45 AM - 11:15 AM	Module 3Break
11:15 AM - 12:00 PMAM	Module 43:  Deep Dive into Amazon Rekognition + Demo	We will be review the Amazon Rekognition service in greater detail and demonstrating a demo leveraging AWS DeepLens.
12:	00PM - 1:00 PM	Lunch
1:00 PM – 1:30 PM	Module 54: Deep Dive into Amazon SageMaker	In this module, we will be diving deeper into what is Amazon SageMaker and potential use cases for it.
1:30 PM – 2:00 PM	Q+A, Close Out	Module 5: Amazon SageMaker Lab	Within this lab, participants will create a Jupyter Notebook leveraging Amazon SageMaker and build a recommendation engine.