Introduction to Amazon SageMaker - An End-to-End Machine Learning Service

Monday, October 10, 2022 2 p.m. to 5 p.m.

Learn how to use Amazon SageMaker Studio, the first integrated development environment (IDE) for machine learning. Amazon SageMaker brings together a broad set of purpose-built tools covering the entire machine learning lifecycle. Developers can write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface. This is a hands-on workshop and a dedicated AWS account will be provided for the lab exercises.

Registration for this workshop will close at 8AM on October 7th.

This workshop is being presented in hybrid format. You may choose to attend in-person or virtually via Zoom/Microsoft Teams. There is limited seating available for in-person attendance.

Presenters: 

Gabriel Brackman - Solutions Architect, Amazon Web Services

Registration link: 
https://ucf.qualtrics.com/jfe/form/SV_9Y7QejE2Teb2pO6

Registration for this workshop will close at 8AM on October 7th.

Research Computing and Data Workshops Series

We are pleased to bring to the UCF Research community a series of workshops on scientific computing and research data management. These workshops are being jointly presented by UCF LibrariesUCF Graduate and Research IT, and UCF Advanced Research Computing Center (ARCC) and will feature some guest speakers from the broader research community. This series also includes Software and Data Carpentries workshops (http://carpentries.org) which have been made possible through the sponsorship of Dr. Elizabeth Klonoff, Vice President for Research and Dean, College of Graduate Studies.

Upcoming Workshops

For the complete line-up of upcoming Research Computing and Data Workshops, please visit: https://rci.research.ucf.edu/workshops/2022/fall/

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Locations:

Research 1: 101-A [ View Website ]

Event Registration

Registration is required for this workshop. Registration will close at 8AM on October 7th.

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Workshop/Conference

Tags:

research computing research data management