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This online course explores the fundamentals of Artificial Intelligence (AI). Participants will design intelligent agents to solve real-world problems, including search, games,...

This online course program explores how to impose ethical behavior on machine models to manage the ethical impact of AI making decisions. It includes topics such as AI...

This comprehensive online course series will introduce participants to the field of artificial intelligence. It includes topics such as search and optimization; logic,...

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

This online course explores how to promote the ethical use of data-driven technologies. It includes topics such as privacy and bias and how ethical concepts can be applied.

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). It teaches how to build and train different GANs architectures to generate new images using...

This online course program gives an introduction to machine learning and artificial intelligence in healthcare. It includes modules on the healthcare system, clinical data and...

This online course explores how to build and incorporate ethical frameworks in AI and Big Data technology and business initiatives to add transparency, build trust, and drive...

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 online course explores key AI concepts, including machine learning, deep learning and neural networks. The course is designed for beginners and no programming skills are...

This online course explores artificial intelligence, how it’s perceived today and the differences between the hype, marketing and reality of AI.

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

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 program explores strategies to put ethics into practice in data-driven technologies such as Artificial Intelligence, Data Science, and Internet of Things.

This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering...

Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in...

This online course gives a basic introduction to the field of deep learning and to building a deep learning model using the Keras library. Some prior knowledge of Python and...

This online course (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...

This online course program gives an introduction to Large Language Models (LLMs). It includes modules on the details of language foundation models (including innovations such as...