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
Shreyas has extensive quantitative experience in Finance and financial technology. He previously worked with the Anti-Money Laundering and Risk Analytics unit at Bank of Montreal and has published papers in Quantitative Finance in topics including Portfolio Credit Risk. As a Quantitative Portfolio Analyst at Hall Private Wealth Management, he was responsible for building quantitative strategies for portfolio management and asset allocation. At Argon, he employs Big Data Analytics and Machine Learning algorithms to improve the decision engine and to optimize the overall portfolio. He served as the Projects Advisor of EntreCORPS, where he advised and led consulting teams in providing business strategies and design thinking to start-ups. He has a Bachelor of Engineering degree in Electrical and Electronics Engineering and a Master of Science degree in Financial Engineering from the University of Illinois, Urbana-Champaign.
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.
Learn More