Andrew Ng
Andrew Ng is the Founder of DeepLearning.AI, Managing General Partner at AI Fund, Managing Partner at AI Aspire, Executive Chairman of LandingAI, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University. As a pioneer in machine learning and online education, Dr. Ng has changed countless lives through his work in AI. Over 8 million people have taken an AI class from him.
He was the founding lead of the Google Brain team, which helped Google transform into a modern AI company. He served as VP & Chief Scientist at Baidu, where he led a 1,300-person AI team responsible for the company's AI technology and strategy. He was formerly Director of the Stanford AI Lab, home to 20+ faculty members and research groups. In 2023, he was named to the Time100 AI list of the most influential AI persons in the world.
He has authored/co-authored over 200 papers in AI and related fields and holds a B.Sc. from CMU, M.Sc. from MIT, and Ph.D. from UC Berkeley. Dr. Ng now focuses his time primarily on providing AI training and on his entrepreneurial ventures, looking for the best ways to accelerate responsible AI adoption globally.
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Companies
A venture studio that co-founds AI companies from the ground up, working alongside founders to identify ideas, validate markets, and build lasting businesses.
An AI education company that has trained more than seven million learners worldwide, offering courses in partnership with Stanford Online, Coursera, and leading technology companies.
An advisory firm helping enterprises with AI strategy and transformation. In partnership with Bain & Company, AI Aspire guides organizations beyond experimentation to deliver scalable, transformative results with artificial intelligence.
Co-founded by Andrew in 2012, Coursera is a leading online learning platform that partners with top universities and companies to offer courses, professional certificates, and degrees to over 150 million registered learners.
A visual AI platform that makes computer vision accessible for manufacturing inspection and quality control, built on data-centric AI principles.