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.
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Washington, D.C.
A Raleigh native, I graduated from N.C. State University in 2005 with a BS in computer science. From there, I took a sojourn through various philosophy and logic programs (receiving an M.S. from CMU's Department of Philosophy, currently A.B.D.) which put me directly in contact with inductive logic, statistics, and machine learning. I left CMU in 2013 to join Distil's team as their first (and currently senior) data scientist. The leap from doing blackboard mathematics and proofs back to coding, fire-drills, and harsh deadlines (especially in a Hadoop ecosystem) was a jarring though incredibly enriching one. Today I'm glad to say that I am involved with Distil in developing cutting edge bot detection using machine learning and behavioral modeling. I have always enjoyed applied math and statistics, but I have to say that in dealing with Distil's large data set, I have found a real aesthetic appreciation for working with big data specifically; not just the sheer volume of what's being accomplished, but the small volume of people who are capable of doing it at all.
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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