Introduction to Artificial Intelligence, Machine Learning and Neural Networks

Artificial Intelligence (AI) has grown in the last few years from a promising research field into a widely applied technology. Many processes and decisions in our lives are governed by algorithms: from autonomous driving, e-commerce recommendations, traffic predictions to fraud detection. It is important that AI is used correctly, to prevent privacy issues, discriminations and other harm. In this course we explain what AI is, how algorithms work, and how you select, train and implement algorithms.

In this course you get a hands-on introduction into all aspects of modern AI. You will learn the following:

• Definition of AI and common usage. Distinction between AI, machine learning, deep learning and classic AI;
• Explanation of rule based systems and limitations;
• Representing data as vectors and manipulating data with linear algebra in python;
• Neural networks;
• Genetic Algorithms;
• The process of training, testing and evaluating algorithms;
• Understanding algorithmic bias and how to ensure the ethical and responsible use of AI.

The course consists of a combination of lectures, practical sessions using the Python programming language, and group discussions. The course is an extension of a previous Webinar and will also cover the following articles on algorithmic bias and responsible use of AI:

• https://ictinstitute.nl/ai-machine-learning-and-neural-networks-explain…
• https://ictinstitute.nl/algorithmic-bias-project-management/
• https://ictinstitute.nl/ai-risk-management-checklist/