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.
Chicago
Ankur Srivastava is a Lead Data Scientist at Uptake. He manages a team that finds data driven solutions to business problems for key clients. Currently, his team focuses on building predictive analytics models to detect failure in large mining trucks. Before joining Uptake, he was a Lead Engineer in the Probabilistics Lab at GE Global Research Center where he focused on predictive analytics, reliability and robust design of gas turbine systems. Before joining GE, he completed his postdoctoral work from the Aerospace Engineering department at MIT and obtained his doctoral degree from Mechanical Engineering at Rice University, Houston TX. He has a number of journal papers and conference proceedings in this area and has 3 patents filed.
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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