What is a ChatGPT training - and what does it actually deliver?
A ChatGPT training is a 1- to 2-day workshop where your employees learn to use ChatGPT (or Claude, Gemini, Copilot) in a way that genuinely saves time and produces better work. A good training isn't "this is how you click the buttons." It teaches how to write a good prompt, when to trust the model and when not to, how to spot hallucinations, how to work with your own documents, and which use cases make sense for which role. In other words: it turns "I tried it once" into a productive tool.
Which teams benefit most from ChatGPT training?
Especially: knowledge workers (sales, marketing, HR, legal, consulting) - they have the biggest leverage and typically save 20 to 40 % on routine writing. Leaders who want to introduce ChatGPT in their team and need to understand first what works and what doesn't. IT and engineering teams who want to learn prompt engineering systematically before building their own LLM features. Whole departments looking to establish a unified standard for AI use - including data protection and compliance.
What you'll be able to do after the training
You'll be able to write structured prompts that produce reliable results, instead of drowning in trial-and-error. You'll know typical usage patterns for your role: rewriting, summarizing, translating, researching, generating code, structuring data. You'll know when ChatGPT hallucinates and how to spot it. You'll be able to work with your own documents (uploads, custom GPTs, RAG) and understand what happens to your data. You'll know the most important data-protection pitfalls and how to avoid them - GDPR, trade secrets, sensitive personal data.
What makes this training different
Most ChatGPT trainings on the market are surface-level tool demos by trainers who've never built a production AI system themselves. Ours come from 15+ years of AI engineering at Meta, Bosch, and Amazon, plus teaching experience at HdM Stuttgart. You don't just get tips - you understand why certain prompts work, so you can transfer that knowledge to new models when GPT, Claude, or Gemini change again in 6 months.
Format and investment
Standard format: 1 day (8 hours) with about 50 % theory and 50 % hands-on exercises on real tasks from your day-to-day work. Optional day 2 for deeper topics like custom GPTs, RAG, or prompt engineering for developers. Group size 4 to 15 people. On-site or remote. Cost typically in the low to mid four-figure euro range per day - on request we provide a quote tailored to your industry and roles.