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Large Language Models: From Foundations to Transformers

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About the Instructor

Dr. Ryan Rad

Dr. Ryan Rad is an AI researcher, professor, and industry advisor with over 15 years shaping how artificial intelligence is built, taught, and deployed. He holds faculty positions at Northeastern University and the University of British Columbia, where he has designed curricula and graduate programs in Machine Learning, Computer Vision, Generative AI, and Data Science—reaching thousands of students across six universities and online. His industry work spans research, engineering, and leadership at startups and tech giants including Microsoft, scaling AI solutions across 40 countries for Fortune 500 companies. A sought-after speaker with 50+ international talks and tens of top-tier peer-reviewed publications, Dr. Rad's research focuses on resource-efficient generative AI for edge deployment. He is the author of The Agentic AI Book—distilling years of building, teaching, and deploying AI into actionable insights—and shares AI perspectives on his YouTube channel.

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