GenAI
About
Generative AI (GenAI) is transforming the way businesses operate, from automating complex tasks to enhancing decision-making and innovation. To truly leverage the potential, professionals must
- Rethink how GenAI interacts with data, language, reasoning, and knowledge, and
- Understand how to strategically integrate and apply GenAI to drive business value.
This interactive block course equips professionals with a fresh perspective on GenAI’s capabilities, practical insights into its business integration and applications, and hands-on experience through case-based learning with a focus on finance and insurance.
Key Learnings
- (A) Unpacking and Using GenAI: Deconstruct the fundamentals of generative AI, distinguishing it from traditional machine learning and explaining the core mechanics of a Large Language Model (LLM). Analyze the economic implications of using GenAI, specifically evaluating token economics to optimize for cost and efficiency.
- (B) Customizing and Shaping GenAI: Strategically assess and integrate GenAI into business operations, identifying opportunities for deriving tangible business value. Apply advanced customization techniques such as Retrieval-Augmented Generation (RAG) and fine-tuning to tailor models for specific organizational needs.
- (C) Rethinking and Shaping the Future of GenAI: Critically analyze the philosophical and social implications of GenAI, including new perspectives on concepts like rationality, agency, and explainability.
Upcoming Course: January 2026 - 2 Days
Schedule
Day 1: Thursday, Jan 15, 2026, 9.15 - 17.00
Unpacking GenAI: Introduction to Foundation Models and LLMs
- From Deep Learning & Neural Networks to GenAI
- Embeddings
- Architecture of an LLM
- Implications: Strengths and Weaknesses of LLMs
- How GenAI can be used in enterprise applications
- Rethinking GenAI: Language, Intelligence & Agency
Day 2: Friday, Jan 16, 2026, 9.15 - 17.00
Customizing GenAI: Cases and applications in Insurance
- Fine Tuning & Retrieval Augmented Generation and beyond
- Governance and Safety
- Current Applications and Experience
Speakers:
- Katrin Kröger, Senior GenAI Engineer, AXA
- Kornelia Papp, Group Head of Conversational AI & Intelligent Automation, Zurich Insurance
- Bastian Bergmann, ETH FinsureTech Hub,
- Yassir Madhour, Chief Information Officer, Assura
- Michael Hässig, Head OPEX & Innovations, AXA-ARAG
- more tba
Interested to Join?
Who are we looking for:
- Experienced specialists and leaders from the banking, finance and insurance industries. However we welcome participants with diverse industry backgrounds.
- Participants with a university background in engineering, finance, econonomics, computer science or natural sciences.
- At least 3+ relevant professional experience.
- Analytical skills, capacity for in-depth and interdisciplinary thinking.
Course Fee:
- 1200 CHF (incl all course materials, coffee breaks)
- 1000 CHF for ETH Alumni & ETH FinsureTech Alumni
Registration: Use this link to pre-register: Link