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This online course program teaches the fundamentals of programming with Python for AI projects such as neural networks.

This online course gives an introduction to developing deep learning models with Tensorflow (an open source machine library for deep learning).

This online course gives an introduction to Generative Adversarial Networks (GANs), including their fundamental components and applications.

This online course program explores Generative Adversarial Networks (GANs). It includes image generation with GANs, charting a path from foundational concepts to advanced...

This series of online courses explores the key concepts and applications of Deep Learning, including various kinds of neural networks for supervised and unsupervised learning....

This online course shows how to build deep learning agents with neural networks.

This online course program gives an introduction to applying Artificial Intelligence (AI) to healthcare. It includes modules on applying AI to 2D and 3D medical imaging data,...

This online course gives an introduction to generative adversarial networks (GANs). It teaches how to build and train different GANs architectures to generate new images using...

This online course program gives an introduction to the mathematics required for applications in Machine Learning and Data Science. It includes Linear Algebra, Multivariate...

This online course explains the basic principles of machine translation. It covers the main difficulties of translating natural languages and the principles of different machine...

This program includes 5 individual online courses and gives learners a comprehensive introduction to Deep Learning as a key building block of artificial intelligence.Learners...

This online course explores how to apply machine learning in practice, using Google's approach including TensorFlow models.

This online course program explores the main areas of machine learning: supervised learning, unsupervised learning, deep learning, and reinforcement learning.

This online course series explores how AI applications can be used in trading and quantitative finance.

This online course program explores the potential of machine learning in a business setting. It covers topics such as data analysis for machine learning, supervised learning...

In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

This online course teaches the foundations of deep learning. Participants can learn how to build, train and apply deep neural networks.

This online course gives an introduction to Generative AI with Large Language Models (LLMs). It includes the key steps in a typical LLM-based generative AI lifecycle, from data...

This online course series gives an introduction to Machine Learning and Deep Learning, using various tools and methods as well as practical applications.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this online course will introduce learners to the “language” of TinyML.