<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 "<a href="https://www.i-aida.org/course/nvidia-dli-applications-of-ai-for-predictive-maintenance-2/" style="color:rgb(70,120,134)">Nvidia
DLI \u2013 Applications of AI for Predictive Maintenance</a>".</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">15<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">Unplanned equipment downtime
is costly and disruptive \u2014 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\u2019ll 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.</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-applications-of-ai-for-predictive-maintenance-2/" style="color:rgb(70,120,134)">https://www.i-aida.org/course/nvidia-dli-applications-of-ai-for-predictive-maintenance-2/</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-applications-of-ai-for-predictive-maintenance-2/" 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>
<span style="font-size:12pt;font-family:Calibri,sans-serif;color:rgb(51,51,51)">Best regards</span><div><span style="font-size:12pt;font-family:Calibri,sans-serif;color:rgb(51,51,51)">AIDA Secretariat</span></div></div>