Tag: AI training UF

NVIDIA Workshop for UF: Accelerating Data Science Flows

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UFIT is hosting Accelerated Data Science with RAPIDS, a two-day workshop. The workshop, part of NVIDIA’s Deep Learning Institute (DLI), will be taught in two, four-hour sessions from 9:00 a.m. – 1:00 p.m. on November 15 and 17.

In Accelerated Data Science with RAPIDS, developers will learn to build and execute end-to-end GPU accelerated data science workflows to quickly explore, iterate, and get their work into production. Using the RAPIDS accelerated data science libraries, developers are able to apply a variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH’s single-source shortest path, and cuML’s KNN, DBSCAN, and logistic regression to perform data analysis at scale. Workshop attendees get access to fully configured, GPU-accelerated servers in the cloud and guidance from a DLI-certified instructor. The workshop has a registration limit of 100, so registering early is strongly recommended. A $10 registration fee covers both sessions. Please contact Ms. Ying Zhang, AI team lead, with any questions about this workshop or other upcoming AI training and events.

The November 2021 AI and NVIDIA training schedule is listed below. Details and registration links are available on https://help.rc.ufl.edu/doc/Training.

Nov. 4: NVIDIA Metropolis
Nov. 9: AI in Matlab at RC
Nov. 15: NVIDIA DLI Workshop Accelerated Data Science with RAPIDS (part one)
Nov. 17: NVIDIA DLI Workshop Accelerated Data Science with RAPIDS (part two)
Nov. 30: NVIDIA CLARA Imaging

Develop Competencies with Practicum AI

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Registration is now open for the first-ever offering of Practicum AI. The program runs Sept. 7 through Nov. 30.

Practicum AI is comprised of hands-on learning experiences designed to teach the coding skills and conceptual AI understanding needed to apply AI methods. The Practicum AI consists of a core set of modules as well as specializations in particular types of AI methods. UFIT is offering the first iteration of Practicum AI face-to-face, with the inaugural participants helping to guide and refine the program for future offerings. Anyone considering applying should note that additional work outside of class time is required to prepare and complete the exercises. For the fall 2021 program, Practicum AI participants are expected to have basic proficiency in Python.

Practicum AI enrollment is limited to 25 participants. The Sept. 7 introductory presentation, held via Zoom, is open to everyone. After the introductory presentation, remaining sessions will be on Zoom as well in person in the UF Informatics Institute seminar room on Tuesdays from 10:40 a.m. to noon. For more information, contact Research Computing Training Team Lead Matt Gitzendanner.