AI-supported analysis and automation are reshaping financial processes. This course shows how smart models sharpen decision-making, drive efficiency, and enable data-driven strategies.

Intelligent AI agents handle analysis, forecasting, and reporting in the financial sector. Those who use them strategically gain efficiency, scalability, and a better basis for decision-making.

AI opens new potential for administration and public services. Automation, data literacy and ethical governance form the foundation for digital transformation in the public sector.

AI methods, data analysis, and strategic product thinking in one course. Product managers expand their skills for future-ready, data-driven product development with AI.

PropTech, AI, and data analysis are fundamentally changing the real estate industry. Professionals learn to apply these technologies purposefully in valuation, management, and investment.

Supply chain management with AI: forecasting, automation, and transparency for professionals who want to make supply chains more efficient, robust, and future-ready.

AI meets sustainability: from climate action and ESG strategies to environmental monitoring – practical for anyone applying digital methods responsibly.

Bitcoin expertise for leadership: market mechanisms, regulatory context, and strategic use of digital assets – practical and without technical prerequisites.

Blockchain knowledge for leaders: fundamentals, application areas, and strategic potential – practical, without technical prerequisites, and immediately applicable.

Discover the basics of artificial intelligence! Learn how AI systems work, which algorithms are used, and how companies can benefit from AI. Ideal for beginners and decision-makers.

Business analysis fundamentals – a compact introduction to structured requirements analysis, process modelling, and business cases for beginners and career changers.

Structured methods for business process modelling – from BPMN fundamentals to process optimisation. A compact introduction for business analysts and those responsible for processes.

Structured methods for applied business analysis – stakeholder coordination, modelling, solution identification, and business cases in two compact days.

Requirements engineering as the foundation of business analysis – practical training for those who elicit, document, and deliver clear requirements in projects.

Understand data analytics from the ground up – covering data quality, statistical methods, visualisation, and AI-supported analysis. Practice-oriented for all entry levels.