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BUS 190 — Building Generative and Agentic AI Products: A First-Principles Guide for Product Managers

Quarter: Spring
Instructor(s): Vikash Rungta
Duration: 2 days
Location: On-campus
Date(s): Apr 25—Apr 26
Class Recording Available: No
Class Meeting Day: Saturday and Sunday
 
Class Meeting Time: 9:30 am—4:30 pm (PT)
Tuition: $570
   
Refund Deadline: Apr 18
 
Unit(s): 1
   
Status: Registration opens Feb 23, 8:30 am (PT)
 
Quarter: Spring
Day: Saturday and Sunday
Duration: 2 days
Time: 9:30 am—4:30 pm (PT)
Date(s): Apr 25—Apr 26
Unit(s): 1
Location: On-campus
 
Tuition: $570
 
Refund Deadline: Apr 18
 
Instructor(s): Vikash Rungta
 
Recording Available: No
 
Status: Registration opens Feb 23, 8:30 am (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
You will leave with both the technical insight and leadership perspective needed to architect the intelligent products of the future.

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.

VIKASH RUNGTA
Co-Founder & Chief Product Officer, Alloi.ai

Vikash Rungta heads product and monetization at Alloi.ai, an agent-centric reliability platform he co-founded. Previously, he led product management at Meta and safety and human alignment for the Llama foundational model, and he built the world's largest real-world friend graph. He blends engineering insight with market-oriented thinking to help future leaders harness generative AI responsibly. 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.