Dear AI/CS/ECE student/scientist/engineer/enthusiast,
the International AI Doctoral Academy (AIDA), is excited to invite you to register and attend the upcoming online AIDA short course "Nvidia DLI – Applications of AI For Anomaly Detection".
Lecturer: Dr. Laszlo Kovacs,
University of Debrecen
Date: 22 November 2025, 09:00
– 17:00 CET (online)
About the Course
This short course offers a practical deep dive into detecting irregular patterns using cutting-edge AI techniques. Participants learn how to apply GPU-accelerated XGBoost, autoencoders, and GAN-based models to identify anomalies in real-world datasets across sectors like manufacturing, finance, and cybersecurity. Designed for learners with intermediate Python skills, this full-day training provides hands-on experience and an industry-recognized NVIDIA certificate upon completion.
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
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, so that a successful attendance of this course appears in the AIDA Certificate of Course Attendance.
We look forward to your participation!
Best regards,
E. Patmanidou