BUS 190 — Building Generative and Agentic AI Products: A First-Principles Guide for Product Managers
Quarter: Winter
Instructor(s): Vikash Rungta
Date(s): Jan 27—Jan 31
Class Recording Available: No
Class Meeting Day: Wed/Sat/Sun
Grade Restriction: No letter grade
Class Meeting Time: See full schedule below
Please Note: The course begins with an online session on Wednesday, January 27, from 5:30 to 7:30 pm (PT). The remaining sessions will meet in person on Saturday, January 30, and Sunday, January 31, from 9:30 am to 4:30 pm (PT).
Tuition: $630
Refund Deadline: Jan 29
Unit(s): 1
Status: Registration opens Nov 30, 8:30 am (PT)
Quarter: Winter
Day: Wed/Sat/Sun
Duration: 3 days
Time: See full schedule below
Date(s): Jan 27—Jan 31
Unit(s): 1
Tuition: $630
Refund Deadline: Jan 29
Instructor(s): Vikash Rungta
Grade Restriction: No letter grade
Recording Available: No
Status: Registration opens Nov 30, 8:30 am (PT)
Please Note: The course begins with an online session on Wednesday, January 27, from 5:30 to 7:30 pm (PT). The remaining sessions will meet in person on Saturday, January 30, and Sunday, January 31, from 9:30 am to 4:30 pm (PT).
To build the next generation of products, leaders can no longer treat AI as a black box. A first-principles understanding of how generative and agentic AI works is now an essential competency for product leadership. This hands-on course provides that foundation. We will go beyond surface-level applications to explore the core architectures and mechanisms that enable these systems to reason, plan, and execute. By developing this intuition, you will be able to identify product opportunities others miss, ask the right technical questions, and guide teams with greater credibility. Designed for product managers, startup founders, and technology strategists, this course will equip you to:
- Spot and evaluate new opportunities for AI-powered products
- Collaborate effectively with engineering counterparts
- Make confident, strategic investment decisions in AI
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. This course relies on the use of an external, third-party tool that is not managed or supported by Stanford. Students must purchase their own tool subscriptions and can expect to spend $25-$100 per month. Please see the course syllabus for more details.