AI driving licence for office and knowledge work

Modules

1. M0 · 15 min

   Starting check

   Learning objectives

   • name your own working situation and a meaningful learning goal
   • recognise safety and responsibility limits before the first input
   • distinguish participation, exercise result and responsible approval

2. M1 · 35 min

   Using AI sensibly

   Learning objectives

   • assess typical AI capabilities and their limits for office tasks
   • distinguish suitable, unsuitable and check-only tasks
   • use the task traffic light for a reasoned usage decision

3. M2 · 40 min

   Starting safely

   Learning objectives

   • clarify tool and account requirements before use
   • minimise data and limit uploads to permitted, necessary content
   • document context, assumptions and open points separately before the first input

4. M3 · 45 min

   Briefing clearly

   Learning objectives

   • define goal, context and sources in a clear brief
   • describe format and criteria so that results become verifiable
   • use follow-up questions and iteration for targeted improvement

5. M4 · 60 min

   Office practice lab

   Learning objectives

   • use AI support appropriately for emails and meeting notes
   • revise documents against clear requirements and check their statements
   • work on spreadsheets with traceable number and plausibility checks
   • document office artefacts with sources, corrections and approval status

6. M5 · 45 min

   Error workshop

   Learning objectives

   • recognise and stop hallucinations and unsupported statements
   • recalculate figures independently and check sources for reliability
   • recognise bias in results and justify a correction or escalation

7. M6 · 35 min

   Responsibility

   Learning objectives

   • distinguish legal orientation from binding legal advice
   • classify roles, responsibilities and sensitive applications appropriately
   • escalate safely when uncertain or when risk is high

8. M7 · 45 min

   Assistants and workflows

   Learning objectives

   • use a maintained knowledge collection as the basis for assistance
   • define tool access and agent limits for a workflow
   • anchor human approval points and stops in assistant workflows

9. M8 · 70 min

   Driving test

   Learning objectives

   • recall the safety and quality principles without assistance
   • create a synthetic practice artefact with a check and approval decision
   • reflect on your own decision and the next improvements