Training · ChatGPT
ChatGPT training for teams that want more out of it.
Hands-on half-day sessions: from better prompts to file analysis and tasks ChatGPT completes on its own. With cases from your own work, an action plan and a prompt library.
Compose a learning trackFor whom
Beyond the chat window.
Most people know ChatGPT as a chat window. In the training we go beyond that: text, image and data analysis in one environment, with web browsing, file upload and voice — applied to your own work.
What your team learns.
Text & documents
Drafting, rewriting, summarising and structuring, with your own documents as practice material.
Data & files
Uploading and analysing files: from raw export to an answer you can act on.
Image & voice
Generating images and using voice where the work calls for it.
ChatGPT Work & Codex
For those who want to go further: tasks ChatGPT completes across your apps on its own, and Codex for development.
Practical
Group, duration, investment.
8–15 people
Small enough to get everyone hands-on, large enough to learn from each other.
Half a day per module
Hands-on sessions, in your own tools and environment.
€250–€300 per participant
Minimum starting fee €1,500–€1,800 per module, excluding VAT.
Of the people we train, 87% apply what they learned within a month.
Frequently asked questions
A few things upfront.
01 ChatGPT or Copilot — which fits us? +
That follows from your environment: if your organisation sits deep in Microsoft 365, Copilot is often more logical; ChatGPT is strong as a broad, standalone work environment. We train in both and advise honestly.
02 Which licences are needed? +
The training works best when everyone has the same capabilities and the data agreements are in place, usually via a team or business licence. In the preparation we align on what is available in your environment.
03 Do you also train in other tools? +
Yes: Microsoft Copilot, ChatGPT, Claude, Gemini, Power BI and Copilot Studio. We train in the tool that fits your environment.
Curious which modules fit your team?
Tell us where you stand; we compose the learning track based on what is already there.