AI People Wiki

Builders & open source

Laurence Moroney

Director of AI, Arm

  • Director of AI, Arm1

Laurence Moroney is an AI author and educator whose site says Moroney led AI Advocacy at Google for many years, ran the TensorFlow YouTube channel, and designed a certificate curriculum and test. Moroney's teaching page lists the TensorFlow: In Practice, TensorFlow: Data and Deployment, and TensorFlow: Advanced Techniques specializations taught with DeepLearning.AI, as well as a PyTorch for Deep Learning professional certificate. Moroney's books include AI and Machine Learning for Coders (O'Reilly, 2020) and AI and Machine Learning for On-Device Developers (O'Reilly, 2021).1234

At a glance

Current role
Director of AI
Company
Arm
Work listed
2
Sources cited
4
Profile reviewed

Career

Moroney's website gives a current role as Director of AI at Arm, with a focus on bringing AI to every possible device. Earlier, Moroney led AI Advocacy at Google for many years, educating developers through the TensorFlow YouTube channel, talks at Google I/O and the TensorFlow Dev Summit, the TensorFlow blog, and work with Google Developer Groups and TensorFlow user groups.14

At Google, Moroney also designed the curriculum and test for a certificate covering computer vision, natural language processing and sequence modelling, and helped universities create curricula on building AI systems.1

Teaching

Moroney has taught several online specializations with DeepLearning.AI and Andrew Ng, starting with TensorFlow in Practice and TensorFlow Data and Deployment, followed by TensorFlow Advanced Techniques. More recent courses include a short course on pair-programming with large language models, a Generative AI for Software Development certificate, and a three-course PyTorch for Deep Learning professional certificate.2

Moroney also contributed to Google AI for Anyone on edX with HarvardX and to Harvard's Tiny ML specialization on edX, which teaches machine learning on mobile and embedded devices with TensorFlow Lite for Microcontrollers.2

Writing

Moroney's programming books run from Expert Web Services in the .NET Platform (2004) and a series of Microsoft Press titles on Silverlight and Windows development to The Definitive Guide to Firebase (2017) and two O'Reilly books on machine learning, AI and Machine Learning for Coders (2020) and AI and Machine Learning for On-Device Developers (2021). Moroney has also written science fiction novels, comic books including Stargate Universe: Icarus, and a television pilot.3

Work and contributions

  • TensorFlow Open-source code

    Ran the TensorFlow YouTube channel, designed a certificate curriculum and test, taught TensorFlow specializations on Coursera, and co-wrote a 2022 TensorFlow Blog post, for the TensorFlow team, on developing TensorFlow side by side with JAX.124

  • AI and Machine Learning for Coders Published research

    Author of AI and Machine Learning for Coders (O'Reilly, 2020) and AI and Machine Learning for On-Device Developers (O'Reilly, 2021).3

Timeline

  1. Published Expert Web Services in the .NET Platform with Apress.3
  2. Published Introducing Windows 7 for Developers with Microsoft Press.3
  3. Published The Definitive Guide to Firebase with Apress.3
  4. Published AI and Machine Learning for Coders with O'Reilly.3
  5. Published AI and Machine Learning for On-Device Developers with O'Reilly.3
  6. Co-wrote a TensorFlow blog post on bringing machine learning to every developer's toolbox.4

Other documented roles

Roles the sources document that are not confirmed as current.

Where they work

  • Arm 1 person in the wiki

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References

4 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. Laurence Moroney — homepageLaurence Moroney · Official page · accessed Oct 21, 2026
  2. Laurence Moroney — My TeachingLaurence Moroney · Official page · accessed Oct 21, 2026
  3. Laurence Moroney — My WritingLaurence Moroney · Official page · accessed Oct 21, 2026
  4. Bringing Machine Learning to every developer's toolbox — The TensorFlow BlogTensorFlow (Google) · Announcement · published Jun 27, 2022 · accessed Oct 21, 2026