Mastering GPT in Your Daily Work
Course Overview
Target group: Professionals from any functions and industries with basic ChatGPT skills
5h (13.00–18.00)
On-site, Zurich (Impact Hub)
Afternoon powerbreak, brainfood & drinks provided
Certificate of Attendance
CHF 390.- (+ VAT)
Next course dates:
22 August 2025 // 26 September 2025

Course Details & Agenda
This hands-on ChatGPT training targets professionals from any functions and industries with limited prior ChatGPT experience. In one fully packed afternoon, course participants learn about the basics of language models and transformers, how LLMs and ChatGPT work, what LLMs are capable of today, how to interact effectively with LLMs using state-of-the-art prompt engineering techniques, and how to use ChatGPT, Gemini and other LLMs efficiently in their daily work, also by leveraging (individual) GPTs and additional tools / applications. Further, we will discuss important legal and ethical topics related to the subject. Finally, we will risk some crystal ball gazing (recent progress in Generative AI / LLMs – where do we go from here?) and discuss potential business use cases from/with course participants.
Full agenda:
13.00–14.30: LLM / GPT Intro & Capabilities
-
AI & Large Language Model (LLM) Introduction
-
ChatGPT (Performance) History
-
LLM Capabilities & Application Areas
-
Current State of LLMs: Strengths & Limitations
-
Overview & Comparison of leading LLMs
-
Exercises
14.30–15.30: Prompt Engineering ("Prompting")
-
Prompt Engineering Basics & Use Cases
-
Leading Techniques (CoT / Self-reflection / In-context Learning / Few-shot Prompting / Input-output Prompting / Role Prompting / Prompt Chaining / CO-STAR Framework)
-
Custom Instructions, Memory, Commands
-
Exercises
15.30–17.00: LLM / Generative AI Tooling
-
Chat GPT-4o, OpenAI o1–o4, ChatGPT Search / Canvas / Reason / Deep research, Projects
-
Microsoft 365 Copilot, Gemini Advanced
-
GPTs & Additional App's with LLM Integrations
-
AI Image & Video Generations Tools
-
Further Cutting-Edge Generative AI Tools
17.00–18.00: Additional Topics & Outlook
-
Do's & Don'ts when using LLMs
-
LLMs <> Data Protection
-
LLMs <> Copyright Law
-
AI Safety / Ethics
-
Outlook: Trends in the LLM / GenAI Space