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
Grade Restriction: No letter grade
Class Meeting Time: 6:00—7:50 pm (PT)
Tuition: $540
Refund Deadline: Jul 15
Unit(s): 1
Enrollment Limit: 45
Status: Registration opens May 18, 8:30 am (PT)
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
Grade Restriction: No letter grade
Enrollment Limit: 45
Recording Available: Yes
Status: Registration opens May 18, 8:30 am (PT)
AI has moved from side projects to the core of how companies compete and grow, requiring technology leaders to operate beyond engineering by shaping product direction, platform strategy, and roadmaps that 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 coherent product, platform, and AI strategy. The course examines how leaders align with business and product partners; make technology decisions that affect growth, margins, and risk; and take accountability for P&L outcomes. These decisions are explored through practical lenses such as modernization and technical debt, AI maturity and platform strategy, build vs. buy trade-offs, organizational design, crisis leadership, 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 coherent product, platform, and AI strategy. The course examines how leaders align with business and product partners; make technology decisions that affect growth, margins, and risk; and take accountability for P&L outcomes. These decisions are explored through practical lenses such as modernization and technical debt, AI maturity and platform strategy, build vs. buy trade-offs, organizational design, crisis leadership, 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.