Founder of DeepLearning.AI and AI Fund managing general partner
Andrew Ng
Andrew Ng is an AI researcher, educator, and entrepreneur who founded DeepLearning.AI, co-founded Coursera, and teaches at Stanford University.
About Andrew Ng
Andrew Ng is an AI researcher, educator, and entrepreneur. He founded DeepLearning.AI, serves as managing general partner at AI Fund, and is an adjunct professor at Stanford University. His current work combines AI training with building and supporting AI businesses.
He co-founded Coursera, led the founding Google Brain team, and previously served as chief scientist at Baidu and director of the Stanford AI Lab. His research and teaching cover machine learning and practical AI applications. He earned his PhD at the University of California, Berkeley.
Mentioned in our coverage
46 articles name Andrew Ng, excluding author credits.
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- a16z Launches a $35M Tuition-Free AI Academy as a College Alternative →
On September 22, 2026, Andreessen Horowitz announced the Horowitz Andreessen Academy — a $35M, tuition-free, one-year program for 16-to-22 year-olds built around practical AI and startup work instead of a degree. Led by Udemy co-founder and Maven CEO Gagan Biyani, it pairs short courses from tech leaders with co-ops at Anthropic, Meta, and Stripe. explainx.ai covers what's actually offered, who it's for, and how it compares to a bootcamp or a computer science degree.
- Andrew Ng: AI Fear Is Overhyped After a PR-Driven Two Weeks →
DeepLearning.AI's September 18, 2026 Batch issue 371 opens with a letter from Andrew Ng pushing back on two weeks of AI panic he attributes partly to orchestrated PR. Ng says extinction risk hasn't moved, cyber agents are serious but not magical, and the Hugging Face incident mostly exposed sandbox bugs — not a reason to pause the field. explainx.ai unpacks the argument for builders, where it aligns with explainx.ai's own incident coverage, and what Ng's hammer metaphor means for agent responsibility.
- Linear Reworked CI for Agentic Coding: What Changed and What to Steal →
On September 21, 2026, Linear engineer Mufeez Amjad published how Linear rebuilt CI after agent-assisted development quadrupled its test suite but left every pull request waiting on the same gates. The post is a concrete playbook — infrastructure, critical-path jobs, setup amortization, and Vitest sharding — not just "buy faster runners." explainx.ai breaks down the numbers, the risks (including agent-written tests), and how it pairs with Anthropic's parallel story about test impact analysis at 25x CI volume.
- Top Generative AI Workshops in 2026: Complete Guide →
Looking for a generative AI workshop that goes beyond "what is a prompt"? We ranked the best live options for 2026 — starting with explainx.ai's AI Builder Workshop (Nov 15-16 & 22-23), the only one that has you ship a deployed, full-stack AI product by the end.
- Top Generative AI Workshops for Software Developers in 2026 →