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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Sequences, Time Series and Prediction (Coursera) Coursera
DeepLearning.AI

Sequences, Time Series and Prediction (Coursera)

Data Science

Dive into the world of advanced data analysis and learn how to develop powerful predictive models with 'Sequences, Time Series and Prediction' on Coursera. This course is designed for software developers eager to harness AI capabilities by mastering TensorFlow, an essential tool in machine learning. Gain insights into best practices for creating scalable algorithms that can predict future trends based on historical data.

Jun 29th 2026
4 Weeks
Machine Learning Forecasting Prediction
Details
Advanced Deployment Scenarios with TensorFlow (Coursera) Coursera
DeepLearning.AI

Advanced Deployment Scenarios with TensorFlow (Coursera)

Computer Science

Dive into the complexities of bringing your machine learning models from development to deployment with 'Advanced Deployment Scenarios with TensorFlow'. This course, part of a comprehensive specialization on Coursera, will guide you through four distinct real-world deployment scenarios, equipping you with essential skills to train and implement your models effectively.

Jun 29th 2026
4 Weeks
Software Machine Learning Computer Science
Details
Custom and Distributed Training with TensorFlow (Coursera) Coursera
DeepLearning.AI

Custom and Distributed Training with TensorFlow (Coursera)

Data Science

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.

Jun 29th 2026
4 Weeks
Machine Learning GPU Gradient
Details
Custom Models, Layers, and Loss Functions with TensorFlow (Coursera) Coursera
DeepLearning.AI

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

Data Science

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.

Jun 29th 2026
5-12 Weeks
Machine Learning Neural Networks Players
Details
Generative Deep Learning with TensorFlow (Coursera) Coursera
DeepLearning.AI

Generative Deep Learning with TensorFlow (Coursera)

Data Science

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.

Jun 29th 2026
4 Weeks
TensorFlow Deep Learning Autoencoders
Details
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera) Coursera
DeepLearning.AI

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

CS: Software Engineering Computer Science

Dive into the world of artificial intelligence with this comprehensive Introduction to TensorFlow course. Learn best practices for using TensorFlow, a powerful tool for developing scalable machine learning algorithms. Ideal for software developers eager to integrate AI and deep learning into their projects.

Jun 22nd 2026
4 Weeks
Artificial Intelligence Machine Learning Neural Networks
Details
Data Pipelines with TensorFlow Data Services (Coursera) Coursera
DeepLearning.AI

Data Pipelines with TensorFlow Data Services (Coursera)

CS: Software Engineering Computer Science

Dive into the world beyond modeling with 'Data Pipelines with TensorFlow Data Services.' This course will equip you with the skills to deploy machine learning models effectively and optimize your data pipelines for superior performance. From understanding complex deployment scenarios to leveraging data more efficiently in training models, this specialization is designed to bridge the gap between theory and application.

Jun 22nd 2026
4 Weeks
ETL TensorFlow Artificial Neural Networks
Details
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