BUS 151 — AI Tools and Strategies for Modern Product Managers
Quarter: Winter
Instructor(s): Roshan Agrawal
Date(s): Jan 13—Feb 10
Class Recording Available: Yes
Class Meeting Day: Tuesdays
Grade Restriction: NGR only; no credit/letter grade
Class Meeting Time: 6:00—7:30 pm (PT)
Tuition: $435
Refund Deadline: Jan 15
Unit(s): 0
Status: Open
Quarter: Winter
Day: Tuesdays
Duration: 5 weeks
Time: 6:00—7:30 pm (PT)
Date(s): Jan 13—Feb 10
Unit(s): 0
Tuition: $435
Refund Deadline: Jan 15
Instructor(s): Roshan Agrawal
Grade Restriction: NGR only; no credit/letter grade
Recording Available: Yes
Status: Open
AI is reshaping product management. While it won’t replace product managers, those who embrace AI will outpace those who don’t. This interactive, hands-on course equips you with practical AI tools and strategies to elevate your effectiveness at every stage of the product lifecycle. Whether you’re an experienced PM or just entering the field, you will learn to harness AI to streamline processes, enhance decision-making, and drive results.
Through interactive sessions, you will develop actionable skills you can immediately apply to your work. Specifically, this course covers how to:
- Accelerate customer discovery and user research using advanced language models and smart research prompts
- Synthesize customer and market insights by leveraging AI tools to create data-driven, high-confidence product roadmaps
- Craft compelling user stories and product messaging with AI-powered writing assistants tailored to different stakeholders
This course is designed for experienced product managers seeking to deepen their skills and integrate AI into advanced product strategy and execution. 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.
ROSHAN AGRAWAL
Product Management Executive
Roshan Agrawal is a product management executive who combines enterprise technology leadership with a passion for AI-driven innovation. Having led product teams at Microsoft and VMware, he brings extensive experience in transforming how enterprise products are conceived and delivered. A certified AI Product Leader, his current focus lies at the intersection of AI and product management. He received an MBA from the McCombs School of Business at the University of Texas and a BS in engineering from the Indian Institute of Technology (IIT) Delhi.
Textbooks for this course:
There are no required textbooks; however, some fee-based online readings may be assigned.