BUS 156 — Building AI-Native Products: From Vision to Market Impact
Quarter: Winter
Instructor(s): Shakhina Pulatova
Date(s): Jan 25—Mar 1
Class Recording Available: Yes
Class Meeting Day: Mondays
Grade Restriction: NGR only; no credit/letter grade
Class Meeting Time: 6:30—8:00 pm (PT)
Please Note: No class on February 15
Tuition: $455
Refund Deadline: Jan 27
Unit(s): 0
Status: Registration opens Nov 30, 8:30 am (PT)
Quarter: Winter
Day: Mondays
Duration: 5 weeks
Time: 6:30—8:00 pm (PT)
Date(s): Jan 25—Mar 1
Unit(s): 0
Tuition: $455
Refund Deadline: Jan 27
Instructor(s): Shakhina Pulatova
Grade Restriction: NGR only; no credit/letter grade
Recording Available: Yes
Status: Registration opens Nov 30, 8:30 am (PT)
Please Note: No class on February 15
Artificial intelligence is transforming industries, but not every AI feature translates into a meaningful product. This course is designed for professionals who want to understand what it takes to create AI-native products where AI is at the core of the value proposition rather than just an add-on. We will explore both predictive AI products, such as search, recommendation, and personalization systems, and generative AI products, including AI agents, copilots, and creative tools, highlighting both their commonalities and key differences. Participants will learn frameworks for identifying AI opportunities, defining product vision, designing user-centered experiences, and leading cross-functional teams. We will discuss how to evaluate data and model needs, measure success in probabilistic systems, and build defensible strategies in a competitive landscape. Through case studies from large tech companies and emerging startups, students will gain a clear understanding of how to develop AI-native products from concept to market impact.
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.
SHAKHINA PULATOVA
AI Product Management Leader
Shakhina Pulatova is a product leader and founder with over 18 years of experience building AI-driven marketplace, social network, and data cloud products at LinkedIn, Snowflake, and eBay. She is currently building an AI-native startup that helps people solve complex problems together. Previously, as an entrepreneur in residence at Storm Ventures, she evaluated and advised early-stage AI companies shaping the future of enterprise software. Pulatova received a BS and MS in computer science from the University of Tennessee, Knoxville.
Textbooks for this course:
There are no required textbooks; however, some fee-based online readings may be assigned.