Welcome to the Education Catalog! Here you can browse, search and access all the AI education resources currently indexed in the AI4EU AI-on-demand platform, including distance courses, onsite courses, and more.
You are welcome to publish your own educational resources here! To do so, log in to the platform (click on the arrow icon at the upper right corner), go to your dashboard (click on the user icon), and use the "Submit new content" button to access the submission forms.
An encyclopedia of the major scientific and technical terms related to Trustworthy Artificial Intelligence This book (to be consolidated in the second phase of the project) represents the first period deliverable of the TAILOR project, providing an enc...
In this course, we present formalisms and learning algorithms for non-Markovian decision processes, where rewards and dynamics can depend on the history of events. November 7–21, 2022 (schedule on the web site) Room B203, Department of Computer, Aut...
Video recordings of the 1st TAILOR Summer School, which was delivered in an online form on 23-24 September, 2021.
A total of 40 academic hours of interactive, multidisciplinary teaching. 2 ECTS will be awarded upon successful completion of the Course, which requires the attendance of at least 85% of classes and passing the final examination.
A brief tutorial on how to publish the tangible results of a small research project in the AI-oo-demand platform, in the form of a "research bundle"
Prague, Czech Republic • 25 July - 30 July 2022 Vision and Sports is a special kind of summer school. In addition to a broad-range of lectures on state-of-the-art Computer Vision techniques, it offers exciting sport activities.
A 22-minute video tutorial showing how users can publish contents on the AI4EU AI on-demand platform
Covers 4 topics: 1 - Importance of Data Analytics in solving Business Problems 2 - Current Statistics, Challenges, and Future of AI Technologies 3 - Future Of Healthcare with Federated ML 4 - Knowledge Graph
This lecture aims at introducing a general audience to the topic of social robots - humans interactions, and major ethical questions to be discussed when considering such technology.
This module aims at introducing the audience to the key concepts and techniques in data science. The audience will be introduced to different stages in data science based on the CRISP-DM Data Science process.