Fundamentals of Accelerated Data Science (NVIDIA DLI Workshop)

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