You will be introduced to Amazon SageMaker Studio, the first integrated development environment (IDE) for machine learning. It brings together a broad set of purpose-built tools covering the entire machine learning lifecycle. With Amazon SageMaker Studio, developers can write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface, which significantly boosts productivity. You will get hands-on experience on no-code/low-code solutions for model development in AWS.
Sherry Ding, Ph.D. - AI/ML Solutions Architect, AWS
Gabriel Brackman - Solutions Architect, AWS
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 Libraries, UCF 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.
For the complete line-up of upcoming Research Computing and Data Workshops, please visit: https://rci.research.ucf.edu/workshops/2022/spring/