Prompt to Product: Building MVPs with AI

In product management, your most humbling moment occurs when you take your product to real customers. That’s when theory meets reality, and your core assumptions are put to the test. Rarely is the product you scale the same as you first imagined. Product managers must ruthlessly define a minimum viable product (MVP), quickly take it to real customers, and rapidly iterate. Today, with the growing number of AI enabled “no-code” tools, it has never been easier to quickly develop a working prototype without having any computer science or coding skills. Understanding how to quickly prototype using the most current tools available is becoming a must have skill for aspiring entrepreneurs and product managers that are building internet enabled products & services.

This course gives students hands-on experience using AI to develop working prototypes for real customers. Students will be assigned to teams of ~ 4 students and be given a problem that betters the CBS community. Although the final problem will vary from section to section, an example problem statement that the students may focus on is “As the CMC, I want to help MBA students find valuable employment opportunities that require MBAs beyond those industries that commonly invest in on-campus recruiting.” During the course, students will design, build, and launch an MVP and use customer feedback to refine and improve their product. Leveraging a no-code AI-powered tool, students will learn how to transform product requirements into working software in hours. The course teaches emerging skills in prompt engineering and AI-assisted development—capabilities that are quickly becoming essential in the modern product manager’s toolkit.

The course culminates in the development of a working prototype and a formal recommendation to CBS leaders on whether resources should be invested to scale the product.