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.
San Francisco
Erik M. Schmidt is a Senior Scientist at Pandora. His most recent work at Pandora has included leading the playlist and algorithmic design of Thumbprint Radio, a hyper-personalized radio product. His work has also led to the contribution of numerous playlist recommendation strategies to the Pandora listening experience, and the development of machine listening systems to automatically understand the musicological content of audio. Before joining Pandora he was a Post-Doctoral Researcher in the Music and Entertainment Technology Laboratory (MET-lab) at Drexel University in Philadelphia, PA. He received the Ph.D. degree from Drexel University in 2012, and also holds a Master's in Electrical Engineering from Drexel University and a Bachelor's from Temple University. His current work focuses on developing the next generation of playlist and recommendation products at Pandora. Erik has general research interests in the areas of machine learning and recommender systems for playlist generation and machine understanding of music audio.
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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