AI clicking is not AI literacy

There is no shortage of AI training courses, ranging from agents and prompts to validation. Yet the overall context is often missing: what is the company using AI for, and to what end? What data is being used, and where does it come from? Which use cases really drive progress, and what benefits do they bring?

AI seminars need a concept to serve as a solid ‘foundation’. This allows you to pool your resources. After all, the AI learning plan follows the concept and builds lasting AI expertise.

• Your AI competence framework, tailored to your organisation – including implementation.
• Guidance – the framework as a guiding principle: ensuring staff use AI effectively, evaluate results, recognise limitations, protect data and take responsibility.
• Clarity on the AI needs of target groups, ranging from foundational knowledge for everyone to in-depth skills for roles involving higher risk or greater responsibility.
• Learning formats tailored to the framework – modules, case studies, peer learning, self-study materials.
• Impact assessment: clear metrics for competence (such as quality control of results, confident decision-making, and the ability to identify AI errors).

• You don’t squander your budget on training in a scattergun approach, but instead focus on your goal: clearly defined AI skills.
• You don’t invest in fancy ‘AI training’ for whatever tool is currently in vogue. Instead, you follow your own strategy, which contributes to your company’s objectives.
• Everyone involved gains clarity: What skills need to be developed? Why is this important? How do you measure learning success?
• Form follows function: You offer learning formats that directly contribute to skills development.
• You comply with the EU AI Act – which requires AI literacy, not one-size-fits-all training.