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BUS 25 — Generative AI for Product Managers

Quarter: Spring
Day(s): Mondays
Course Format: On-campus (About Formats)
Duration: 8 weeks
Date(s): Apr 8—Jun 3
Time: 5:30—7:20 pm (PT)
Refund Deadline: Apr 10
Unit: 1
Tuition: $610
Instructor(s): Vikash Rungta
Limit: 40
Class Recording Available: No
Status: Closed
Please Note: No class on May 27
5:30—7:20 pm (PT)
Apr 8—Jun 3
8 weeks
Refund Date
Apr 10
1 Unit
Vikash Rungta
Please Note: No class on May 27
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, relevant case studies, and industry speakers, offering a unique opportunity to learn from current innovators and real-life scenarios. Throughout the course, students will engage in real-world situations, gaining insights into how startups and established companies strategically integrate GenAI into existing and future products. The course helps 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.

Product Lead, Privacy, Fairness & Responsible AI, Meta

Vikash Rungta leads responsible AI and fairness for Meta's ads system. 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.