BUS 156 — Building AI-Native Products: From Vision to Market Impact
Quarter: Spring
Instructor(s): Shakhina Pulatova
Date(s): Apr 9—May 7
Class Recording Available: Yes
Class Meeting Day: Thursdays
Grade Restriction: NGR only; no credit/letter grade
Class Meeting Time: 6:30—8:00 pm (PT)
Tuition: $435
Refund Deadline: Apr 11
Unit(s): 0
Enrollment Limit: 45
Status: Open
Quarter: Spring
Day: Thursdays
Duration: 5 weeks
Time: 6:30—8:00 pm (PT)
Date(s): Apr 9—May 7
Unit(s): 0
Tuition: $435
Refund Deadline: Apr 11
Instructor(s): Shakhina Pulatova
Grade Restriction: NGR only; no credit/letter grade
Enrollment Limit: 45
Recording Available: Yes
Status: Open
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 co-pilots, assistants, 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 management leader with over 18 years of experience building AI-driven marketplace, social network, and data cloud products at companies such as LinkedIn, Snowflake, and eBay. As an entrepreneur in residence at Storm Ventures, she evaluates and advises AI-native startups shaping the future of enterprise software. Her teaching and speaking focus on guiding teams to build user-centric, defensible, and high-impact AI products. She 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.