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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Browser-based Models with TensorFlow.js (Coursera) Coursera
DeepLearning.AI

Browser-based Models with TensorFlow.js (Coursera)

CS: Software Engineering Computer Science

Embark on an exciting journey to bring your machine learning models into the real world with 'Browser-based Models with TensorFlow.js'. This comprehensive course, part of Coursera's Specialization, will teach you how to effectively deploy ML models in any browser using TensorFlow.js. Learn techniques for handling data within browsers and build a practical computer vision project that recognizes and classifies objects from a webcam.

Jun 22nd 2026
4 Weeks
Machine Learning Object Detection TensorFlow
Details
Device-based Models with TensorFlow Lite (Coursera) Coursera
DeepLearning.AI

Device-based Models with TensorFlow Lite (Coursera)

CS: Software Engineering Computer Science

Embark on a journey into the practical application of machine learning models with 'Device-based Models with TensorFlow Lite'. This course is designed for those who want to extend their expertise beyond modeling data and delve into deploying ML models in real-world scenarios. You'll learn how to optimize models for mobile devices, execute them on both Android and iOS platforms, and even deploy on embedded systems like Raspberry Pi and microcontrollers using TensorFlow Lite.

Jun 22nd 2026
4 Weeks
Machine Learning Android Apps Object Detection
Details
Advanced Computer Vision with TensorFlow (Coursera) Coursera
DeepLearning.AI

Advanced Computer Vision with TensorFlow (Coursera)

Data Science

Dive deep into the world of advanced computer vision with our expert-led course on TensorFlow. From image classification to complex object detection and segmentation, this course will equip you with the skills to analyze images at a sophisticated level using state-of-the-art models like ResNet-50 and Mask-RCNN. Whether you're looking to improve existing systems or develop new applications in computer vision, this course is your gateway to mastering cutting-edge techniques.

Jun 22nd 2026
4 Weeks
ML Computer Vision Visualization
Details
Deploying Machine Learning Models in Production (Coursera) Coursera
DeepLearning.AI

Deploying Machine Learning Models in Production (Coursera)

Data Science

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
Machine Learning Monitoring TensorFlow
Details
Fundamentals of TinyML (edX) EdX
HarvardX,Harvard University

Fundamentals of TinyML (edX)

Statistics & Data Analysis Data Science

Dive into the basics of machine learning applied to tiny devices with our Fundamentals of TinyML course. Gain a solid foundation in this emerging technology that's revolutionizing embedded systems such as wearables and IoT gadgets. Learn from experts and start your journey into the fascinating world of Tiny Machine Learning.

Self Paced
Self-Paced
Machine Learning Embedded Systems Data Science
Details
Firebase in a Weekend: Android (Udacity) Udacity
Udacity

Firebase in a Weekend: Android (Udacity)

Computer Science

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
Android Firebase Firebase Analytics
Details
Applications of TinyML (edX) EdX
HarvardX,Harvard University

Applications of TinyML (edX)

Statistics & Data Analysis

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
Machine Learning Anomaly Detection Tiny Machine Learning (TinyML) Professional Certificate
Details
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