Join the new AIDA online short course "Nvidia DLI – Fundamentals of Deep Learning" by Dr. Laszlo Kovacs (University of Debrecen), 27/10/2025.

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Efi P

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Oct 24, 2025, 3:34:51 PM (4 days ago) Oct 24
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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 – Fundamentals of Deep Learning".

Lecturer: Dr. Laszlo Kovacs, University of Debrecen
Date: 27 October 2025, 09:00 – 17:00 CET (online)

About the Course

Artificial intelligence (AI) is transforming every industry — from healthcare and retail to automotive and manufacturing. At the core of this revolution lies deep learning, a powerful AI technique that enables computers to learn complex patterns from data. In this hands-on workshop, you will explore how deep learning works through practical exercises in computer vision and natural language processing. You’ll train models from scratch, experiment with real data, and learn to apply state-of-the-art pre-trained models to accelerate your own projects.

By the end of this course, participants will:

  • Understand the fundamental techniques and tools required to train deep learning models.
  • Work with common data types and architectures used in modern deep learning.
  • Apply data augmentation to improve model accuracy.
  • Utilize transfer learning to achieve efficient results with limited data or compute power.
  • Gain the confidence to start your own deep learning projects using modern frameworks.

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.

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We look forward to your participation!

Best regards,

E. Patmanidou

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