Course

AI for Everyone 2: Understand, Evaluate, Reflect

In AI for Everyone 2, you will delve deeper into methods of Artificial Intelligence. You will learn to purposefully select, critically evaluate and classify AI models. In doing so, you will develop a keen sense for the multifaceted perspectives within the human-machine discourse.

KI fuer Alle2
📊︎ Intermediate
42 hours
🏅︎ Confirmation of Participation
🎁︎ For free
4.33 (6)
© CC BY-SA 4.0
🌐︎ German

Overview

This learning opportunity imparts advanced knowledge in the field of Artificial Intelligence, focusing both on the most common AI methods and techniques, as well as on various aspects of AI literacy. The offer therefore concentrates on a deeper engagement with AI methods and techniques and their implications for society. It aims to enable the selection and assessment of AI models for different scenarios, as well as the adoption of different perspectives within the human-machine discourse.

What content can I expect?

  • Deepening of the most common methods and techniques of Artificial Intelligence, especially Machine Learning
  • Data collection and data preparation
  • AI Literacy: sustainability, emotions relating to AI, human-machine interaction

 

What will I achieve?

Upon completion of the course, you will be able to...

  • ... list possible questions and areas of application for the most common methods of Artificial Intelligence.
  • ... assign different methods of Artificial Intelligence to various use cases.
  • ... highlight possible pitfalls in data collection and data preparation.
  • ... critically discuss various methods of Artificial Intelligence.
  • ... discuss the sustainability of Artificial Intelligence, emotions regarding AI, and human interaction with AI.

What requirements do I need?

It is recommended to attend the event “AI for Everyone: Introduction to Artificial Intelligence” in advance or to have acquired basic knowledge in the field of Artificial Intelligence in another way.

This course is offered by

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Klusik-Eckert
Dr. Jacqueline Klusik-Eckert
Universität Düsseldorf
Heine Center for Artificial Intelligence and Data Science
Himmelspach
Dr. Ludmila Himmelspach
Universität Düsseldorf
Heine Center for Artificial Intelligence and Data Science
von Lobenstein
Marie von Lobenstein
Universität Düsseldorf
Heine Center for Artificial Intelligence and Data Science
Mayer
Dr. Maike Mayer
Universität Düsseldorf
Heine Center for Artificial Intelligence and Data Science
Selker
Dr. Ann-Kathrin Selker
Universität Düsseldorf
Heine Center for Artificial Intelligence and Data Science
Theune
Dr. Katja Theune
Universität Düsseldorf
Heine Center for Artificial Intelligence and Data Science
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