Founder of DeepLearning.AI and AI Fund managing partner
Andrew Ng
Profile
If you’ve taken an online machine learning course, there’s a decent chance Andrew Ng taught it. His 2011 Stanford machine learning class on Coursera enrolled over 100,000 students in its first run — a number that seemed absurd at the time and helped invent the MOOC category. He co-founded Coursera with Daphne Koller shortly after. More people have learned ML fundamentals from Ng than from any other single human, full stop. If you’re a developer who picked up neural networks from a video lecture in the last decade, he’s probably in your lineage.
Before the teaching empire, Ng co-founded Google Brain in 2011 alongside Jeff Dean and others — the team that trained a neural network on YouTube thumbnails and famously found neurons that responded to cats. He then ran AI at Baidu as Chief Scientist from 2014 to 2017, building out one of the earliest large-scale industrial deep learning groups outside the US. He’s been an adjunct professor at Stanford the whole time, with CS229 and CS230 lectures freely available and still assigned reading for anyone getting serious.
Today he runs a small empire focused on getting AI into more hands. DeepLearning.AI produces the Deep Learning Specialization, the Generative AI specializations, and short courses with partners like OpenAI, Anthropic, and LangChain. AI Fund is his venture studio that spins up AI companies from scratch. Landing AI focuses on computer vision for manufacturing. And The Batch is his weekly newsletter — one of the better signal-to-noise reads in the field.
Ng’s stance is consistently pragmatic and builder-friendly. He’s skeptical of AI doom narratives, vocally pro-open-source, and relentlessly focused on “what can you actually build with this.” He famously called AI “the new electricity” — a phrase that’s been mocked and quoted to death but captures his worldview. For someone learning AI to build things, he’s the most useful person to follow: no hype, no catastrophism, just a steady drumbeat of “here’s what works, here’s how to ship it.”
Books
Key Articles & Papers
Building High-level Features Using Large-Scale Unsupervised Learning Deep learning with COTS HPC systems Deep Speech: Scaling up end-to-end speech recognition What Artificial Intelligence Can and Can't Do Right Now AI Transformation Playbook Data-Centric AIControversies
Ng has been openly skeptical of AI existential risk narratives, comparing worry about superintelligent AI to “worrying about overpopulation on Mars.” This has put him repeatedly at odds with figures like Eliezer Yudkowsky, Geoffrey Hinton, and Yoshua Bengio. He’s also been a vocal critic of heavy-handed AI regulation — particularly California’s SB 1047 — arguing that compute thresholds and liability regimes will kill open source and hand the field to a few large labs. Supporters call this refreshingly grounded; critics accuse him of dismissing serious safety concerns from people who built the technology he teaches.
YouTube
Spotify Podcasts
