BUS 298 — Technology Leadership in the Age of AI: Product, Platform, and P&L
Quarter: Summer
Instructor(s): Urvashi Tyagi
Date(s): Jul 13—Aug 17
Class Recording Available: Yes
Class Meeting Day: Mondays
Class Meeting Time: 6:00—7:50 pm (PT)
Tuition: $540
Refund Deadline: Jul 15
Unit(s): 1
Enrollment Limit: 45
Status: Open
Quarter: Summer
Day: Mondays
Duration: 6 weeks
Time: 6:00—7:50 pm (PT)
Date(s): Jul 13—Aug 17
Unit(s): 1
Tuition: $540
Refund Deadline: Jul 15
Instructor(s): Urvashi Tyagi
Enrollment Limit: 45
Recording Available: Yes
Status: Open
AI has moved from side projects to the core of how companies compete and grow, requiring technology leaders to operate beyond engineering—shaping product direction, platform strategy, and roadmaps that directly influence business performance. This course is designed for engineering managers, product leaders, senior engineers, and directors expanding their scope or navigating a transition into broader enterprise leadership.
Participants explore leadership challenges at this level, from understanding customer and business pain points to translating them into clear product, platform, and AI strategies. The course examines how leaders align with business and product partners; make technology decisions that shape growth, margins, and risk; and take accountability for P&L outcomes. These decisions are explored through practical lenses such as modernizing legacy architectures, building systems of intelligence, scaling AI responsibly, build-versus-buy trade-offs, organizational design, and executive communication.
By the end, participants will have sharpened how they think, decide, and lead at the intersection of product, platform, and P&L in an AI-driven world.
Participants explore leadership challenges at this level, from understanding customer and business pain points to translating them into clear product, platform, and AI strategies. The course examines how leaders align with business and product partners; make technology decisions that shape growth, margins, and risk; and take accountability for P&L outcomes. These decisions are explored through practical lenses such as modernizing legacy architectures, building systems of intelligence, scaling AI responsibly, build-versus-buy trade-offs, organizational design, and executive communication.
By the end, participants will have sharpened how they think, decide, and lead at the intersection of product, platform, and P&L in an AI-driven world.
URVASHI TYAGI
Former Chief Technology Officer, Resmed and ADP
Urvashi Tyagi is the former CTO of Resmed and ADP, where she led global technology strategy, launched AI products that reached millions of users, and built teams of over 1,500 professionals across engineering, product, and UX. She serves as a startup advisor, angel investor, and board member. Earlier, she held senior roles at American Express, Amazon, Bridgewater Associates, Microsoft, and IBM. Tyagi received an MS in information technology from Worcester Polytechnic Institute. Textbooks for this course:
There are no required textbooks; however, some fee-based online readings may be assigned.