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Salim Helou’s Journey with the Online MS in Applied Artificial Intelligence

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Salim Helou

Salim Helou, Head of Technical Operations at Bahrain Bayan School, has over 20 years of experience in educational technology and IT leadership. He has led initiatives spanning infrastructure modernization, AI integration in education, cybersecurity enhancement, and large-scale digital transformation. His passion lies in ensuring that “technology should genuinely serve people and not merely exist alongside them”, especially in schools where infrastructure directly influences teaching and learning.

To deepen his expertise in AI, Salim returned as an alumnus to apply to the Lebanese American University’s online MS in Applied Artificial Intelligence program, marking the beginning of a transformative learning journey that combined his professional experience with enhanced AI knowledge.

Why Choose Lebanese American University?

“I returned to Lebanese American University as an alumnus because I wanted to continue my learning journey in an institution I respect and feel connected to. I chose the Applied Artificial Intelligence program at a pivotal moment in my career: AI was advancing rapidly, and I no longer wished to rely solely on vendor claims or surface-level familiarity when evaluating its real-world impact.”

The rigorous foundation in machine learning and deep learning, combined with its focus on real-world applications, provided exactly what Salim sought from the program. “I wanted to think more precisely, ask better questions, and build solutions that work in real environments, not just on paper.” With this clear drive and the right program, Salim was ready to balance the demands of his career along with his academic goals.

Flexibility That Supports Real-World Application

Given the demands of his role as Head of Technical Operations, Salim found the online format more fitting since taking time away from work wasn’t a viable option. “The online format offered genuine flexibility without lowering expectations; the workload remained demanding, but I could structure my studies around real institutional priorities.”

The flexibility of learning alongside his professional role enabled him to create a continuous feedback loop that helped him assess the relevance of the new knowledge in real time. This immediacy also made his experience far more practical and impactful.

Salim also mentions, “While studying AI governance and model evaluation, I began rethinking how we assess AI-driven tools at the school, shifting our focus from features and usability alone to data-handling practices, scalability, and long-term dependency risks.” This practical knowledge made his learning more relevant and impactful for his career growth.

The Impactful Learning Experience of the Program

Salim’s Master’s project integrates four advanced AI methodologies—Federated Learning, Deep Knowledge Tracing, Contextual Multi-Armed Bandits, and Large Language Models—to create a privacy-preserving personalized learning system.

“This work moved me beyond theory into real system architecture, model optimization, fairness evaluation, and privacy-conscious AI design.” The program’s practical, hands-on nature helped Salim strengthen his ability to lead AI-driven initiatives with greater technical confidence, clarity, and long-term perspective.

Looking Ahead: A New Approach to View AI

“The program deepened my analytical thinking and fundamentally reshaped how I approach institutional challenges”. This enhanced Salim’s ability to view decisions through a systems-level AI lens, weighing scalability, personalization, fairness, privacy, and long-term implications together rather than separately.

With a broader perspective and improved skills, Salim aimed to make a lasting impact in educational technology and IT leadership. He also shares some valuable advice for prospective students taking this program.

Advice for Future Students

“My advice is straightforward: approach the program with seriousness, curiosity, and genuine commitment. Artificial Intelligence is not only about building models, it is about understanding systems, questioning assumptions, and solving meaningful problems with responsibility and care.”

If you also work in information technology, computer, or cybersecurity fields and are looking to build or grow your career in AI, explore our online MS in Applied Artificial Intelligence and start your academic journey with us.

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