The Advanced Course on Human-Centered AI: Learning Objectives -- Conceptual Foundations of Human-Centric AI -- Machine Learning With Neural Networks -- Generative Networks and the AutoEncoder -- Convolutional Neural Networks -- Transformers in Natural Language Processing -- Vision and Multi-Modal Transformers -- Transformers in Automatic Speech Recognition -- Interactive Robot Learning: An Overview -- Explainable Machine Learning for Trustworthy AI -- Why and How Should We Explain AI -- Artificial Visual Intelligence: Perceptual Commonsense for Human-Centred Cognitive Technologies -- An Introduction to Ethics and AI -- Law for Computer Scientist -- Mythical Ethical Principles for AI and How to Attain Them -- Operationalising AI Ethics: Conducting Socio-Technical Assessment -- Writing Science Fiction as an inspiration for AI research and Ethics Dissemination -- Argumentation in AI -- Computational Argumentation Cognitive AI -- Agent-based Social Simulation for Policy Making -- Towards a Social Artificial Intelligence.