<div dir="ltr"><p style="margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">Dear
AI/CS/ECE student/scientist/engineer/enthusiast,</span></p>
<p style="margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">the
International AI Doctoral Academy (<a href="https://www.i-aida.org/" target="_blank" style="color:rgb(70,120,134)">AIDA</a>), is excited to invite you to register and attend
the upcoming online AIDA short course "</span><span style="font-family:Calibri,sans-serif"><a href="https://www.i-aida.org/course/nvidia-dli-computer-vision-for-industrial-inspection/" style="color:rgb(70,120,134)">Nvidia
DLI \u2013 Computer Vision For Industrial Inspection</a><span style="color:rgb(51,51,51)">".</span></span></p>
<p style="margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">Lecturer:</span></b><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)"> Dr. Laszlo Kovacs,
University of Debrecen<br>
<b>Date:</b> </span><span style="font-family:Calibri,sans-serif">14<span style="color:rgb(51,51,51)"> </span>November<span style="color:rgb(51,51,51)"> 2025, 09:00
\u2013 17:00 CET (online)</span></span></p>
<p style="margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">About the
Course</span></b></p>
<p style="margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">Computer vision
is revolutionizing manufacturing and quality assurance by enabling intelligent
visual inspection systems that can detect defects, monitor production, and
ensure consistency at unprecedented speed and accuracy. This hands-on workshop
provides a practical introduction to building, training, and deploying deep
learning models for industrial inspection tasks.</span></p>
<p style="margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">Participants
will learn how to design and implement deep learning\u2013based defect detection
systems, prepare and augment datasets, and optimize models for high accuracy
and performance. The course uses NVIDIA GPU-accelerated frameworks and
pre-trained models to demonstrate how AI can be efficiently integrated into
real-world inspection pipelines.</span></p>
<p style="margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">Short CV of
lecturer</span></b><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">:
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.</span></p>
<p style="margin:0cm 0cm 7.5pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">Details</span></b></p>
<ul style="margin-top:0cm;margin-bottom:0cm" type="disc">
<li class="MsoNormal" style="color:rgb(51,51,51);margin:0cm 0cm 7.5pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">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.</span></li>
<li class="MsoNormal" style="color:rgb(51,51,51);margin:0cm 0cm 7.5pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Upon
successful completion of the assessment, the participants will receive an <b>Nvidia
Certificate of Competency</b>.</span></li>
<li class="gmail-MsoListParagraph" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Registration:
<a href="https://forms.office.com/e/sR2UdYsYKN" style="color:rgb(70,120,134)">https://forms.office.com/e/sR2UdYsYKN</a></span></li>
<li class="gmail-MsoListParagraph" style="color:rgb(51,51,51);margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif;color:windowtext">More information about the course: <a href="https://www.i-aida.org/course/nvidia-dli-computer-vision-for-industrial-inspection/" style="color:rgb(70,120,134)">https://www.i-aida.org/course/nvidia-dli-computer-vision-for-industrial-inspection/</a></span><span style="font-family:Calibri,sans-serif"></span></li>
</ul>
<p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b> </b></p>
<p class="MsoNormal" style="margin:0cm 0cm 0cm 36pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">For AIDA students</span></b><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">: For AIDA students <b>only</b> (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 <a href="https://www.i-aida.org/course/nvidia-dli-fundamentals-of-deep-learning-5/" style="color:rgb(70,120,134)">AIDA
website</a>, so that a successful attendance of this course appears in the AIDA
Certificate of Course Attendance.</span></p>
<p style="margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif;color:rgb(51,51,51)">We look forward
to your participation!</span></p>
<p style="margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:Aptos,sans-serif"><br></p></div>