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.
Washington, D.C.
Eric is a Data Scientist in The Lab @ DC. He is also a member of the Office of the Deputy Mayor for Public Safety and Justice team. He works closely with the city’s public safety and criminal justice agencies to bring an agile, scientific approach to policy-setting and service delivery. Eric comes to local government after working on a national political campaign’s data team in Detroit.
Before that, he worked at a D.C. startup designing mobile data collection tools for public health agencies and using those tools to survey displaced populations in Iraq. He also worked at the World Bank, helping governments in sub-Saharan Africa modernize weather forecasting and water resources management programs and building innovation ecosystems in Africa’s fastest growing cities.
Eric received a Masters in Geography from Oregon State University, where he studied the effects of large dams on migration and agricultural productivity in China. He has a B.A. in Economics and Chinese from Colby College. A Ward 1 resident, Eric has lived in D.C. for five years and spends his free time rock climbing and whitewater kayaking.
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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