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
Sarah Daniels is an environmental health scientist with over a decade of experience examining the causal relationships between exposures and disease outcomes. Sarah received her doctorate from UC Berkeley in the Environmental Health Sciences Division of the School of Public Health. Her emphasis was in epidemiology and biostatistics. Her dissertation focused on pesticide exposures and other blood
biomarkers associated with type II diabetes, as well as improving methods of detection in small volumes of blood. Post-graduation, Sarah has furthered her interests at the intersection of public health and technology. She is currently working on an emergency management platform to connect victims with resources that they need in the aftermath of a disaster. Sarah is also a core volunteer of the DataKind SF, a non-profit that helps mission-driven organizations leverage data science tools.
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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