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
Rachel Danielle is the Global Portfolio Manager at Echoing Green where she works with emerging social entrepreneurs, cultivating a learning culture focused on leadership and innovation, and is deeply dedicated to building a diverse and equitable ecosystem to support their work. She has over a decade of consulting experience in the public, private, and non-profit sectors. A former Goodwill Ambassador to the Republic of Gambia’s Ministry of Women Affairs and Ministry of Youth & Sports, she worked with key stakeholders, building capacity in leadership development, education, health, and social innovation. She holds a Masters in Social Administration from the Mandel School of Applied Social Sciences at Case Western Reserve University and a BA in Sociology from North Carolina A&T State University. Rachel D. recently completed her Masters in Public Administration at the Robert F. Wagner Graduate School of Public Service at NYU where she focused her studies on leadership, social impact, innovation and investment. She is currently a doctoral student in the EdD in Leadership and Innovation program at NYU Steinhardt.
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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