Laurence Moroney

Laurence Moroney is a Developer Advocate at Google working on Artificial Intelligence with TensorFlow. As the author of more programming books than he can count, he's excited to be working with deeplearn.ai and Coursera in producing video training. When not working with technology, he's a member of the Science Fiction Writers of America, having authored several science fiction novels, a produced screenplay and comic books, including the prequel to the movie 'Equilibrium' starring Christian Bale. Laurence is based in Washington State, where he drinks way too much coffee.

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Custom and Distributed Training with TensorFlow (Coursera) Coursera
DeepLearning.AI

Custom and Distributed Training with TensorFlow (Coursera)

Dive into Custom and Distributed Training with TensorFlow, a comprehensive course designed to equip you with advanced skills in building, optimizing, and scaling machine learning models. From understanding Tensor objects and eager vs graph modes to creating custom training loops and leveraging distributed training strategies for faster processing and larger model capabilities, this course offers a hands-on approach to mastering TensorFlow's powerful features.

Jul 13th 2026
4 Weeks
Custom Models, Layers, and Loss Functions with TensorFlow (Coursera) Coursera
DeepLearning.AI

Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)

Dive into the world of advanced TensorFlow techniques with 'Custom Models, Layers, and Loss Functions with TensorFlow'. This course will equip you with the skills to build custom machine learning models, craft unique layers, and develop tailored loss functions. Whether you're a data scientist aiming to enhance your neural network's capabilities or an aspiring developer looking to delve deeper into TensorFlow's potential, this course offers a pathway to mastering complex model architectures.

Jul 13th 2026
5-12 Weeks
Applications of TinyML (edX) EdX
HarvardX,Harvard University

Applications of TinyML (edX)

Dive into the world of Tiny Machine Learning with our Applications of TinyML course. This hands-on program will guide you through real-world case studies, showcasing practical applications such as keyword spotting, visual wake words, and gesture recognition. Gain insights directly from industry experts on deploying models onto tiny or deeply embedded devices.

Self Paced
Self-Paced
Generative Deep Learning with TensorFlow (Coursera) Coursera
DeepLearning.AI

Generative Deep Learning with TensorFlow (Coursera)

Dive into the world of generative models with this comprehensive online course on Generative Deep Learning with TensorFlow. Learn neural style transfer, build AutoEncoders, explore Variational AutoEncoders (VAEs), and create your own Generative Adversarial Networks (GANs). Perfect for data scientists, AI enthusiasts, and developers looking to generate new content and images using deep learning.

Jul 13th 2026
4 Weeks
Deploying Machine Learning Models in Production (Coursera) Coursera
DeepLearning.AI

Deploying Machine Learning Models in Production (Coursera)

In this comprehensive course, you'll delve into the critical steps required to deploy machine learning models successfully. From setting up scalable hardware infrastructure to automating workflows and employing progressive delivery methods, this program equips you with the skills needed to make your ML models available to end-users efficiently and reliably.

May 8th 2024
3 Weeks
Firebase in a Weekend: Android (Udacity) Udacity
Udacity

Firebase in a Weekend: Android (Udacity)

Dive into 'Firebase in a Weekend: Android' and transform your app development skills. This Udacity course is tailored for Android enthusiasts who want to leverage Firebase’s robust platform to create engaging real-time chat applications. From mastering data manipulation to implementing user authentication and securing data with Firebase's Security Rules, this course equips you with the knowledge needed to build scalable and secure apps.

Self Paced
Self-Paced