Containers in AWS - ECS, EKS
- Date: Tuesday Nov. 12, 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
- CIT Hosts: Ned B. La Celle, Sean D. Walsh
- AWS SA : Anel Perez
Agenda
| Time | Topic | Description |
|---|---|---|
| 9:00 AM – 9:15 AM | Welcome and Introductions | |
| 9:15 AM – 10:00 AM | Module 1: Introduction to Containers | This module is focused on introducing what are containers, their benefits and the services offered by AWS for Containers. |
| 10:00 AM – 10:30 AM | Module 2: Amazon ECS Lab | In this lab, participants will deploy a Cluster in ECS and deploy a basic web application |
| 10:30 AM – 10:45 AM | Break | |
| 10:45 AM – 11:15 AM | Module 3: Containers Deep Dive | This module will focus on the different configuration options that are available with ECS\EKS (e.g. networking modes, placement groups, running services). |
| 11:15 AM – 12:00 PM | Module 4: Amazon ECS + ECR Deep Dive Lab | Within this lab, participants will create their own image and store it within ECR. Also, provision ECS instances and define various parameters within their cluster. |
| 12:00 PM – 1:00 PM | Lunch | |
| 1:00 PM – 1:30 PM | Module 5: CI/CD and DevOps Practices on AWS | The focus will be to provide an overview of CI/CD pipelines and the services that AWS offers for them. There will also be an overview of DevOps principles and how to approach them on AWS. |
| 1:30 PM – 2:00 PM | Q+A, Close Out |
Materials
- Module 2 - Getting Started with Docker and ECR Lab.docx
- Module 4 - Getting Started with ECS.docx
- BOX Folder with Slides : https://cornell.box.com/v/AWS-ECS-EKS-TrainingSlides
CU_TRAINING AWS account has been cleaned up (2019-11-13) of any ECS ECR lab related recources ( VPCs, Clusters, Loadbalancers, Instances, IAM Roles ) - NL85
AI/ML Services in AWS
- 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
- CIT Host: Marty J. Sullivan
Agenda
| 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 – 11:00 AM | Module 2: Amazon Lex Lab | Within this lab, participants will have the opportunity to create a Chatbot leveraging Amazon Lex. |
| 11:00 AM – 11:15 AM | Break | |
| 11:15 AM – 12:00 AM | Module 3: 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 4: 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 | Module 5: Amazon SageMaker Lab | Within this lab, participants will create a Jupyter Notebook leveraging Amazon SageMaker and build a recommendation engine. |
Materials
- Amazon Lex Lab: Module 2 - Lex Chatbot Lab.docx
- SageMaker Lab: https://aws.amazon.com/getting-started/tutorials/build-train-deploy-machine-learning-model-sagemaker/?trk=gs_card
- Presentation: https://cornell.box.com/s/l2ywhmln14h36b6qzkbvam1n8xveg2oq