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AI & Data Science Course in the Heart of Dubai
Learn cutting-edge AI and Data Science in a 7-day intensive, hands-on program — designed for real-world impact in one of the world’s most dynamic cities. Starts September 4, 2025 — Limited seats available. Don’t miss your chance to register!
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🌐 Join Us from Anywhere
Can’t make it to Dubai? No problem. Join the program online and experience world-class learning—live and interactive—from the comfort of your home.
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Machine Learning Focus
Master Supervised and Unsupervised Machine Learning From classification and regression models to clustering and neural networks, dive into real Python implementation with top experts.
Explore the Curriculum

Discover how AI and data science are reshaping business. Over 7 immersive days — in Dubai or from anywhere online — learn from world-class professors and unlock tools that turn insight into action. Whether you’re leading a team, launching a venture, or planning your next move, this hands-on journey will meet you where you are — and take you further. More details: here
Where Innovation Meets Impact — Dubai & Online | Sept 4–10, 2025

🔹Why Join Us?

Expert Professors

Learn from top international experts who bring together academic knowledge and real business experience.

Practical Learning

Work on real projects using Python, KNIME, Excel, and Tableau to build practical data skills.

Accelerated 7-Day Program

Master essential AI and Data Science skills in just one intensive, focused week.

Dubai: A Global Business Hub

Learn, network, and grow in Dubai, a leading destination for innovation and business connections.

🔹Countdown Begins!

Mark Your Calendar! September 4–10, 2025
A 7-day immersive summer school in AI & Data Science.

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🔹Meet Your Instructors

Prof. Dursun Delen

Oklahoma State University, USA

Regents Professor and Patterson Family Chair at Oklahoma State University, director of the Center for Health Systems Innovation, and faculty member in the Department of Management Science & Information Systems. Holds a PhD in Industrial Engineering and Management from OSU, with academic research focused on decision support systems, machine learning, and healthcare analytics. Has authored over 250 scientific papers and 12 books in data science and business analytics. Led AI-driven research projects funded by NASA, DoD, and NIH. Frequently invited as keynote speaker worldwide. Editor-in-Chief of Journal of Business Analytics and AI in Business.
Google Scholar 

Prof. Alireza Daneshkhah

Professor of Data Science
Emirates Aviation University, UAE

Professor of Data Science at Emirates Aviation University, holding a PhD in Bayesian Statistics from the University of Warwick. His academic background includes leading roles at Coventry University and contributions to research centers in predictive modelling and computational science. Specializes in Bayesian machine learning, uncertainty quantification, and deep learning for complex system simulation in health, climate, and infrastructure. Has led multiple UK-funded AI projects involving probabilistic modeling, expert elicitation, and graph-based learning. Member of the International Society for Bayesian Analysis and Fellow of the Royal Statistical Society.

Google Scholar 

Prof. Meenakshi Kaushik

Professor , LIET , Lloyd group of Institutions,MBA, Ph.D

Dean of Research at Trinity Institute (India) and a global thought leader in digital transformation, AI, and sustainable management.
With over 16 years in academia, she has spoken at leading conferences in Turkey and beyond, earning the LREA Award (London, 2024) for excellence in education.
Her work bridges digital innovation with timeless human values—most notably in her book Digital Transformation: Recent Trends and Practices. At our summer school, she brings a unique perspective on AI for leadership and sustainability, enriched by both analytical insight and spiritual depth.

Google Scholar 

Prof. Hossein Peyvandi

Dr. Hossein Peyvandi holds a PhD in Electrical Engineering from the University of Surrey, UK.
He has published over 24 papers and holds a patent in cryptography.
His research areas include computational intelligence, network security, and information theory.
He is a Fellow of HEA and a member of IEEE, AMS, and IET.
Biography 

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