BUS 25 — Generative AI for Product Managers
Quarter: Spring
Instructor(s): Vikash Rungta
Date(s): Mar 31—Jun 2
Class Recording Available: No
Class Meeting Day: Mondays
Class Meeting Time: 5:30—7:20 pm (PT)
Please Note: No class on April 21 and May 26
Tuition: $610
Refund Deadline: Apr 2
Unit(s): 1
Enrollment Limit: 55
Status: Registration opens Feb 24, 8:30 am (PT)
Quarter: Spring
Day: Mondays
Duration: 8 weeks
Time: 5:30—7:20 pm (PT)
Date(s): Mar 31—Jun 2
Unit(s): 1
Tuition: $610
Refund Deadline: Apr 2
Instructor(s): Vikash Rungta
Enrollment Limit: 55
Recording Available: No
Status: Registration opens Feb 24, 8:30 am (PT)
Please Note: No class on April 21 and May 26
In an era where the traditional software products we use every day rapidly evolve into the AI products of tomorrow, product managers must have a firm grasp of the vast capabilities and limitations of generative AI (GenAI) and its practical applications in the context of product development. Designed for product managers, startup founders, and technology strategists, this course provides concretized examples of how GenAI is revolutionizing the technology industry through a combination of lectures and relevant case studies, offering a unique opportunity to learn from current innovators and real-life scenarios. Throughout the course, students will examine real-world situations, gaining insights into how startups and established companies strategically integrate GenAI into existing and future products. The course will help students build technical skills and decision-making capabilities to align product strategy, advancements in GenAI, and business goals competently.
Prior knowledge of AI is not required, but students should ideally be actively engaged in high tech product management or performing those functions in building a product.
VIKASH RUNGTA
Lead Product Manager
Vikash Rungta leads monetization at a Silicon Valley tech company. His expertise comes from hands-on experience crafting strategic AI roadmaps, and his interactive teaching style uses real-world case studies to drive home fundamental concepts. Rungta has contributed to several industry publications and has taught online courses on AI product strategy. His passion lies in educating future leaders on harnessing the power of AI in their business strategies. He received a BS in engineering from Bangalore University, a certification in marketing from the Wharton School, and a certification in electrical engineering from Stanford. Textbooks for this course:
There are no required textbooks; however, some fee-based online readings may be assigned.