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--- training:ds:2025:accelerated_ds [2025/11/11 12:02] – created Didier Barradas Bautista
+++ training:ds:2025:accelerated_ds [2025/12/04 10:54] (current) – Didier Barradas Bautista
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-Place holder
+====== Fundamentals of Accelerated Data Science (NVIDIA DLI Workshop) ======
+<WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs>
+  * Sunday, December 7, 2025
+  * 9:00 am – 1:00 pm
+<wrap indent></wrap> \\
+</WRAP> </WRAP>
+<WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:map.svg?nolink&}} <tab1> <fs:26px>** Venue**</fs>
+  * Building 1, Level 2, Multi-purpose Room (MPR) (Desert Side)
+<wrap indent></wrap> \\
+<wrap indent></wrap> \\
+</WRAP> </WRAP>
+<WRAP quarter column>
+<WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:globe.svg?nolink&}} <tab1> <fs:26px>** Organizer**</fs>
+{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}} Didier Barradas Bautista \\
+{{:icon:twbs:link:w-25:h-auto:headset-vr.svg?nolink&}} Visualization Core Laboratory \\
+{{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}} didier.barradasbautista@kaust.edu.sa
+</WRAP> </WRAP>
+<WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1> <fs:26px>** Register**</fs>
+<wrap em button> [[https://kaustforms.formstack.com/forms/accelerated_ds_25_fall |Register Here]] </wrap> \\
+<wrap indent></wrap> \\
+<wrap indent></wrap> \\
+<wrap indent></wrap> \\
+</WRAP> </WRAP> </WRAP>
+<WRAP group> <WRAP third column>
+{{training:ds:2025:nvidia-logo-vert.png}}
+<WRAP center round box download 100%>
+ <fs:26px>** Workshop Materials**</fs>
+  * Learn more: [[https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-DS-02+V2|Course Page]]
+  * NVIDIA DLI: [[https://learn.nvidia.com/join/|Training Portal]]
+  * NVIDIA event site: [[https://learn.nvidia.com/dli-event|Event Portal]]
+</WRAP>
+<WRAP center round box todo 100%>
+ <fs:26px>** How to Prepare?**</fs>
+  * Bring a laptop with the latest version of Chrome or Firefox
+  * Review Python basics, especially pandas and NumPy
+  * Familiarize yourself with [[https://developer.nvidia.com/rapids|RAPIDS]] and [[https://developer.nvidia.com/cugraph|cuGraph]]
+</WRAP>
+</WRAP>
+<WRAP twothirds column>
+===== Overview =====
+The NVIDIA Deep Learning Institute (DLI), in collaboration with the KAUST Visualization Core Lab and the KAUST Generative AI Center of Excellence, invites you to a hands-on workshop on **GPU-accelerated data science**.
+This session will teach you how to use NVIDIA tools to accelerate data workflows, improve scalability, and reduce time-to-insight. You’ll gain practical experience with cuDF, XGBoost, and cuGraph.
+This training is **exclusively for KAUST academic students, staff, and researchers**.
+===== Who Should Attend? =====
+This workshop is ideal for:
+  * Graduate students and postdocs
+  * Research staff and faculty
+  * Anyone working with large-scale data science problems
+===== Learning Objectives =====
+  * Use **cuDF** to accelerate pandas, Polars, and Dask
+  * Apply **XGBoost** and other ML algorithms
+  * Analyze networks using **NetworkX** and **cuGraph**
+===== Prerequisites =====
+  * Experience with Python (especially pandas and NumPy)
+  * A laptop with Chrome or Firefox installed
+===== Certification =====
+  * Code-based assessment
+  * Certificate available upon successful completion
+===== Agenda =====
+^ Time ^ Topic ^
+| 09:00 | Welcome & Introduction |
+| 09:15 | Accelerated DataFrames with cuDF |
+| 10:00 | Machine Learning with RAPIDS & XGBoost |
+| 11:00 | Graph Analytics with cuGraph |
+| 12:00 | Hands-on Exercises & Q&A |
+</WRAP> </WRAP>
+----
+{{tag>workshop nvidia gpu data-science accelerated-learning}}