Foundation Models and Human-Centric AI: A Practical Framework for Industry Applications
This course explains the main principles of foundation models behind Artificial Intelligence (AI). It presents the historical context of AI and provides an understanding of a panel of learning models, such as supervised learning, unsupervised learning, reinforcement learning, and self-supervised learning. The course will also explain current and possible applications of Human-Centric AI across different industries, in a simplified and understandable way.
Learning Outcomes
At the end of this course, attendees will be able to:
- Understand AI Foundations Models
- Apprehend the Complex Challenges facing AI Models
- Integrate a practical Human-Centric AI framework to solve problems across different industry applications
Context of Use
- Understanding Foundation Models and Generative AI
- Participants will understand how AI tools can significantly solve problems across all industries
- Adapting to Technological Advancements and AI Evolution
Participants will appreciate the importance of staying updated with the latest AI advancements and methodologies. This continuous learning is crucial for maintaining a competitive edge across all industries
Instructor
Mario Saba
Mario Saba holds a Ph.D. in Management Science (Information Systems), two master’s degrees in marketing and hospitality management, and a Postgraduate Certificate in Higher Education.
He is an Associate Professor of Information Systems (IS) and the founder of the Higher Hospitality Academy of Switzerland. He teaches in the fields of IS and Hospitality at leading universities across Switzerland, Europe, and the USA. With extensive leadership experience, he designs and delivers professional training programs for executives. He specializes in systemic interactions often overlooked by traditional management training approaches. Within this framework, he leads projects and provides advisory services across various industries.
Dr. Saba research focuses on Human-Centric Artificial Intelligence, innovative applications of IS technology, and decision-making tools. He publishes his findings in international peer-reviewed journals.
Publication Year: 2025