4 courses with the subject MSAE, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MSAE 510Lean Startup & Business Models for AI,3
Introduction to the application of the lean startup methodology. An assembly of methodologies to build and validate business models for AI-driven products and services. The identification of market needs, designing MVPs for an AI-powered service, and conducting data-driven experiments to validate business models.
This hands-on, interdisciplinary course equips students with the skills, frameworks and mindset to lead the creation of AI-powered products from initial concept to market launch. Students will navigate the full AI product lifecycle—covering discovery, design, development, launch, growth and maintenance—with a focus on practical product management techniques. Emphasizing entrepreneurial thinking, the course trains students to identify high-impact market opportunities and drive innovation. Through lectures, case studies, guest talks and applied projects, students will learn to balance technical feasibility, user needs and business value to deliver AI solutions that thrive in competitive markets.
This course introduces foundational concepts of Agent AI and Multi-Agent Systems (MAS) through an entrepreneurial lens. Students will learn how autonomous agents solve problems, collaborate and drive innovation in business. Emphasis is placed on real-world applications, ethical implications and low-code tools to ensure accessibility for non-technical learners. No prior programming experience is required.
The AI Venture Startup Studio is a two-semester capstone course where students build and launch a working AI venture—from problem selection and customer discovery through MVP (Minimum Viable Product) development and venture pitching.
