[visionlist] AIDA Short Course: "Nvidia DLI - Accelerating Data Engineering Pipelines", 13th January 2023

Ioanna Koroni ioannakoroni at csd.auth.gr
Fri Jan 13 03:43:11 -04 2023



Nvidia DLI and University Debrecen organize an online AIDA short course on
"Accelerating Data Engineering Pipelines" offered through the International
Artificial Intelligence Doctoral Academy (AIDA). 

The purpose of this course is to overview the foundations and the current
state of the art in GPU-accelerated data science in python.

This short course will cover the following topics:

*	Data on the Hardware Level (60 mins), 
*	ETL with NVTabular (120), Data Visualization (120 mins), 
*	Final Project: Data Detective (60 mins)

The targeted applications will be in GPU-accelerated ETL data process.



- Dr. Laszlo Kovacs, Assistant Professor

Nvidia Deep Learning Institute Certified Instructor and Ambassador, email:
kovacs.laszlo at inf.unideb.hu <mailto:kovacs.laszlo at inf.unideb.hu> 


HOST INSTITUTION/ORGANIZER: Nvidia Deep Learning Institute, Faculty of
Informatics, University of Debrecen, Hungary


REGISTRATION: Free of charge for university students and staff


WHEN: January 13, 2022 from 09:00 to 17:00 CET


WHERE: Online



Both AIDA and non-AIDA students are encouraged to participate in this short


If you are an AIDA Student* already, please: 

Step (a) register in the course by following the Course Link:
<https://inf.unideb.hu/en/nvidia-deep-learning-institute> Nvidia Deep
Learning Institute | University of Debrecen (unideb.hu) AND 

Step (b) enroll in the same course in the AIDA system using the enrollment
button in the AIDA course page
lines/> Nvidia DLI - Accelerating Data Engineering Pipelines - AIDA - AI
Doctoral Academy (i-aida.org), so that this course enter your AIDA Course
Attendance Certificate. 


If you are not an AIDA Student do only step (a). 


*AIDA Students should have been registered in the AIDA system already (they
are PhD students or PostDocs that belong only to the AIDA Members listed in
this page: https://www.i-aida.org/about/members/)


Dr. Laszlo Kovacs, Assistant Professor

Nvidia Deep Learning Institute Certified Instructor and Ambassador

Email  <mailto:kovacs.laszlo at inf.unideb.hu> kovacs.laszlo at inf.unideb.hu

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