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

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