Register now: https://registration.genomecenter.ucdavis.edu/events/datalab2020IntroAWSwithJupyter/

Instructors: Kevin Murakoshi, Claudiu Farcas, and Danyell Wilt

Date: August 20, 2020

Time: 3 – 5:30pm (2 hours + 30min for Q&A)

Description:

This workshop introduces cloud computing, Amazon Web Solutions infrastructure (including AWS Regions and Availability Zones), and the types of workloads that are a good fit for AWS.  This session includes a hands-on lab where we will use a Jupyter notebook and AWS APIs to launch a simple web application on AWS. The last 30 minutes of this workshop are reserved for Q&A and continued practice with the platform.

Advanced registration is REQUIRED for this workshop. UC Davis DataLab Affiliates and UC students have priority registration. Register here.

Note that while this workshop is similar in lecture-content to the “Introduction to AWS for Research,” it will not use the AWS GUI and instead prior experience with Python and Jupyter notebooks is necessary for the hands-on lab component.

Prerequisites:

-Registration is required for this workshop.

-No prior experience with AWS is necessary. This workshop is a stand-alone and does not build on the prior Intro to AWS for Research workshop.

-You will need access to a computer with a ssh client (example for Windows and using PuTTY).

-Familiarity with running code in a Jupyter Notebooks

-Basic Python programming experience

Learning Objectives:

At the end of this workshop, attendees will be able to:

-Identify good use cases for research on AWS

-Launch a Juypter Notebook on AWS Sagemaker

-Use AWS APIs to launch a basic Web Application

About the instructors:

Kevin Murakoshi is a Sr. Solutions Architect at AWS working with the Northern California UC Schools. Prior to joining AWS, Kevin worked at UC Davis in IET where he supported a wide range of tools ranging from critical campus infrastructure to reasearch IT.

Claudiu Farcas is a Sr. Solutions Architect at AWS in the Higher Education vertical covering the UC campuses in Southern California. Prior to AWS, he was a research scientist at UCSD for over a decade developing multiple large-scale national research platforms in a variety of fields as diverse as ocean sciences, proteomics, genomics, biomedical informatics, green energy, etc.

Danyell Wilt is a Sr. Solutions Architect at AWS working with UC Academic Medical Centers. Prior to joining AWS, he helped design and operationalize distributed teleradiology platforms supporting hundreds of hospitals and millions of patient exams which improved patient care and turn around time for those facilities.