AI-First Product Management
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
New York City
Ramphis is the Co-Founder of ScienceVest (YC F3) - a fund and platform for hard-tech and life science companies, and Impact Science Angels, an angel group focused on investing in companies that can impact 1MM+ lives. As a Kauffman Fellow, Ramphis researched the funding gaps for radical science companies in the U.S., collecting interviews of over 200 stakeholders across the research & commercialization ecosystem in the U.S. He is also Co-Chair of the NYC Kauffman Fellow Chapter - a community of over 450 innovation investors worldwide representing 160 venture firms and corporate venture groups in 40 countries on 6 continents, that have collectively deployed $200B in venture capital.
As an entrepreneur, he has launched and successfully commercialized intellectual property now used across multiple industries around the world. His background includes undergraduate studies in computer engineering, a Juris Doctor with a focus on AI and robotics law, and graduate studies in public policy, entrepreneurship, and entrepreneurship education. He is an NCEES licensed Professional Engineer (Computer Engineering)
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
This course is designed to prepare learners to use the most powerful Generative AI tools and apply the strategic frameworks needed to leverage them effectively and responsibly.
In this course, the learner will gain a hands-on introduction to data analytics and visualization using SQL and Tableau.
Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time or part-time.
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