TECH 114 — AI for Leaders: Foundations, Strategy, and Applied Use Cases
Quarter: Summer
Instructor(s): Giancarlo Mori
Date(s): Jun 27—Jun 28
Class Recording Available: No
Class Meeting Day: Saturday and Sunday
Grade Restriction: No letter grade
Class Meeting Time: 10:00 am—4:00 pm (PT)
Tuition: $420
Refund Deadline: Jun 20
Unit(s): 1
Enrollment Limit: 65
Status: Registration opens May 18, 8:30 am (PT)
Quarter: Summer
Day: Saturday and Sunday
Duration: 2 days
Time: 10:00 am—4:00 pm (PT)
Date(s): Jun 27—Jun 28
Unit(s): 1
Tuition: $420
Refund Deadline: Jun 20
Instructor(s): Giancarlo Mori
Grade Restriction: No letter grade
Enrollment Limit: 65
Recording Available: No
Status: Registration opens May 18, 8:30 am (PT)
AI and machine learning are reshaping how organizations operate, but for many leaders, it remains difficult to move beyond the hype and see where real value lies.
This course gives leaders a framework for understanding how AI can be integrated into an organization and where it can create meaningful impact. We examine large language models, generative AI, and agentic systems—what they do well, where they fall short, and how they are being applied in practice today. We also explore the data, infrastructure, and governance required for adoption, along with how teams define roles and accountability for AI initiatives.
Designed for leaders new to AI or with limited hands-on exposure, the course provides a practical understanding of how organizations assess and apply AI. By the end, students will be able to identify AI opportunities, design an early pilot, and brief their teams on key trade-offs and implementation considerations.
This course gives leaders a framework for understanding how AI can be integrated into an organization and where it can create meaningful impact. We examine large language models, generative AI, and agentic systems—what they do well, where they fall short, and how they are being applied in practice today. We also explore the data, infrastructure, and governance required for adoption, along with how teams define roles and accountability for AI initiatives.
Designed for leaders new to AI or with limited hands-on exposure, the course provides a practical understanding of how organizations assess and apply AI. By the end, students will be able to identify AI opportunities, design an early pilot, and brief their teams on key trade-offs and implementation considerations.
The course title and description have been updated since this course was first posted. Familiarity with at least one major large language model (e.g., ChatGPT, Anthropic Claude) is recommended.
GIANCARLO MORI
CEO and Chief Architect, Movyl Group
Giancarlo Mori has founded and led two AI/ML companies focused on social intelligence and AI consulting. He previously served as a technology executive at Microsoft, Activision Blizzard, and Atari. With more than 20 years of experience in AI, media, marketing, and interactive technologies, he has helped shape AI strategy and implementation for companies across multiple industries. Textbooks for this course:
There are no required textbooks; however, some fee-based online readings may be assigned.