This course will provide you with the hands-on experience you’ll need to create innovative machine learning applications using ubiquitous Arm-based microcontrollers.

Unlock the potential of AI in marketing by mastering advanced techniques such as predictive analytics, real-time optimization, NLP, email personalization, and social media strategy for impactful marketing.

Learn how to digitally reconstruct a single neuron to better study the biological mechanisms of brain function, behaviour and disease.

A course for anyone to learn what AI is and how it works.

Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.

New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.

This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.

Much of theworld's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.

Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.

Can we characterize intelligent behavior? Are there theoretical foundations on which Artificial Intelligence can be grounded?

Learn the theoretical foundations of Deep Learning through practical Python code.