Knauer, RicardoWallsberger, RaphaelGrimm, MarvinBookhahn, MarianNeumann, FrankMatzka, StephanRodner, ErikKlein, MaikeKrupka, DanielWinter, CorneliaWohlgemuth, Volker2023-11-292023-11-292023978-3-88579-731-9https://dl.gi.de/handle/20.500.12116/43152The field of artificial intelligence (AI) has experienced tremendous advances and will undoubtedly shape a range of vertical industries over the next years. Understanding and applying AI technologies are key skills for the future and of utmost importance for virtually all disciplines. At the University of Applied Sciences Berlin, we are designing an infrastructure and community called KI-Werkstatt that allows us to tackle the challenges of applied research and teaching across vertical domains. The following paper outlines our current efforts and principles.enAI educationapplied AI researchhardware infrastructureFoundations for applied artificial intelligence: enabling and supporting AI teaching and researchText/Conference Paper10.18420/inf2023_331617-5468