With the explosive growth in AI training offerings, picking the right one has gotten harder, not easier. At AI Advies Bureau we help SMEs cut through that noise — here are seven criteria to use when making the decision.
1. Fit With Roles
Not every AI training is equally relevant to every team member. Choose training that matches the specific roles in your company. That produces a more efficient learning process and stronger engagement.
2. Sector Cases
Look for training with practical examples relevant to your sector. That makes applying what's learned far easier and more relevant.
3. The Legal Duty Under Article 4
In some cases, learning specific knowledge and skills is a legal requirement. Check which mandatory framework applies to you, to avoid problems later.
4. A Measurable Starting Level
Avoid your team having unrealistic expectations of their own skills. Roughly two-thirds of people overestimate their own AI capabilities. Make sure you pick training that starts with a baseline measurement.
5. Embedding the Knowledge
Implementing new knowledge requires a solid follow-up process. Check whether the training offers a follow-up strategy that embeds the knowledge internally.
6. Proof of Learning
Good training provides proof of the skills learned, for example via recognised certificates. That also helps motivate team members.
7. Price
And of course, price has to match the value delivered. Don't be led by the size of the investment alone — look at the cost/benefit of the training itself.
Conclusion: Measure and Verify
When choosing AI training, it's important to be critical of quality and relevance for your team. Don't just ask — measure your team's actual starting level. Consider a conversation via our AI literacy training for more insight and advice on the options. AI Advies Bureau helps you make these decisions on solid ground.