Connectionists: Join the AIDA online short course "Nvidia DLI – Applications of AI for Predictive Maintenance" by Dr. Laszlo Kovacs (University of Debrecen), 15/11/2025.

[Efi P]

Dear AI/CS/ECE student/scientist/engineer/enthusiast,

the International AI Doctoral Academy (AIDA <https://www.i-aida.org/>), is
excited to invite you to register and attend the upcoming online AIDA short
course "Nvidia DLI – Applications of AI for Predictive Maintenance
<https://www.i-aida.org/course/nvidia-dli-applications-of-ai-for-predictive-maintenance-2/>
".

*Lecturer:* Dr. Laszlo Kovacs, University of Debrecen
*Date:* 15 November 2025, 09:00 – 17:00 CET (online)

*About the Course*

Unplanned equipment downtime is costly and disruptive — but AI-powered
predictive maintenance is transforming how industries manage reliability
and performance. In this hands-on workshop, you will learn how to use
machine learning and deep learning techniques to analyze sensor data,
detect early signs of failure, and predict the remaining useful life (RUL)
of industrial assets. You’ll explore methods such as LSTM networks,
autoencoders, and XGBoost, and discover how AI can move your operations
from reactive to proactive maintenance. Through real-world case studies and
guided exercises, participants will build models capable of anomaly
detection, predictive forecasting, and data-driven maintenance optimization.

*Short CV of lecturer*:  Dr Laszlo Kovacs received his Ph.D. degree in
computer science. He is specialized in science and engineering in machine
and deep learning, distributed computing, HPC environments, Nvidia GPU
acceleration, and server virtualization. I am a Platinum Tier Level
(top-rated) certified instructor and university ambassador at Nvidia Deep
Learning Institute. He has experience in the research and development of
autonomous vehicles in real and model-sized, including machine learning
engineering, simulations, and digital twins. He is a Specialist Data
Scientist and Q-IT. He is working on AI/ML-based product development, and
real-time product-related data analysis solutions to support production and
quality steering, including innovation in digitalizing quality IT. He has
worked in the USA and  currently working mostly in Germany and Austria.

*Details*

   - Free of charge for university students and staff. An understanding of
   fundamental programming concepts in Python such as functions, loops,
   dictionaries, and arrays is a prerequisite.
   - Upon successful completion of the assessment, the participants will
   receive an *Nvidia Certificate of Competency*.
   - Registration: https://forms.office.com/e/sR2UdYsYKN
   - More information about the course:
   https://www.i-aida.org/course/nvidia-dli-applications-of-ai-for-predictive-maintenance-2/



*For AIDA students*: For AIDA students *only* (AIDA students are PhD
students/candidates or postdoc researchers belonging to any AIDA member):
On the top of the above registration, we strongly encourage you to also
enroll in this course through the AIDA website
<https://www.i-aida.org/course/nvidia-dli-applications-of-ai-for-predictive-maintenance-2/>,
so that a successful attendance of this course appears in the AIDA
Certificate of Course Attendance.

We look forward to your participation!
Best regards
AIDA Secretariat
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