Lehrgangsinhalte
Artificial Intelligence, Weiterführende Mathematik, Use Case und Evaluierung, AI und Society, Weiterführende Statistik, Projekt: AI Use Case, Programmieren mit Python, Machine Learning, Deep Learning, Sprach- und Bildverarbeitung, Inferenz und Kausalität, Reinforcement Learning, Software Engineering für Datenwissenschaft, Aktuelle Themen in AI, Spezialisierung aus dem Wahlpflichtbereich A: AI Specialist, Data Engineer, Technical Project Lead, UI/UX Expert, Artificial Intelligence in FinTech, Applied Autonomous Driving, Atrificial Intelligence in Supply Chain Management, Al in Healthcare and Medical Imaging, Al in E-Commerce, Marketing and Demand Forecase, Industrial Al, Natural Language Processing ad Voice Assistants, Foundational Computer Vision; Spezialisierung aus dem Wahlpflichtberich B: Consumer Behaviour and Research, Corporate Finance, Innovate and Change, Management, Sales, Pricing and Brand Management, Weiterführende Robotik 4.0, Robo Advisory and Al in FinTech, Functional Security and Computer Vision for Autonomous Systems, Al and its Application in Demand Forecast and Procurement, Medical NLP and Medical Robotics, Al for Analytics, Personalization and Recommender Systems, Industrial Automation and Computer Vision for Autonomous Systems, NLP and Innovative Technologies in Education, Cognitive Computer Vision; Master-Thesis
