Introduction to Generative AI
This program offers a dynamic introduction to generative AI for business, designed specifically for non-technical professionals. No prior AI experience required
Description
This program offers a dynamic introduction to generative AI for business, designed specifically for non-technical professionals. Using a no-code approach, participants will explore fundamental AI concepts, prompt engineering, and real-world applications across a variety of business functions.
The program emphasizes hands-on learning, ethical awareness, and practical skill development to build AI fluency. Through guided activities and case examples, participants will gain confidence using AI tools effectively and responsibly. This foundation sets the stage for deeper learning and prepares participants to engage with advanced AI topics in future experiences.
Faculty:
Instruction will be provided by a team of three expert faculty members, each bringing unique insights and experience to the program.
Kofi Arhin
Kofi’s research focuses on AI design, information security, ethics in information systems, human-computer interaction, and web technologies. His current work addresses ethical challenges in designing and implementing AI systems. He holds a Ph.D. in Management from Rensselaer Polytechnic Institute, along with M.Sc. and M.Phil. degrees in Information Systems from GIMPA, and a B.Sc. in Development Planning from the University of Science and Technology in Kumasi, Ghana.
Burak Eskici
Burak is a teaching assistant professor in the DATA department at Lehigh University and co-director of the Computer Science and Business program. He teaches computing, data science, and AI across undergraduate and graduate levels. Previously, he worked on digital development at the World Bank and held academic roles at UC San Diego, J-PAL South Asia, and Harvard University. He holds degrees in Industrial Engineering from Boğaziçi University and a Ph.D. in Sociology from Harvard, specializing in computational social science.
Michael Rivera
Michael is an assistant professor of Business Information Systems at Lehigh University’s College of Business. His research explores real-time feedback, digital transformation, and leadership, with work published in top journals and conferences. He teaches machine learning and AI strategy and has co-founded two tech startups. Dr. Rivera also consults for major firms including Lockheed Martin, Mars Wrigley, Subaru, and American Airlines, bridging academic insight with industry impact.
Participants in this program will:
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Build AI fluency quickly and position yourself as a future-ready leader
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Enhance decision-making capabilities by understanding AI's potential and limitations to identify opportunities and assess risks effectively
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Achieve immediate productivity gains through hands-on application of AI tools to real business challenges and workflows
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Establish a solid foundation for advanced AI learning, preparing you to confidently engage with AI applications and emerging technologies