Licenses don’t create AI experts – AI exams show what your team can really do

Many organizations have invested heavily in AI over the past couple of years. Licenses for Microsoft Copilot, Google Gemini or Claude are bought for the whole staff, and the expectation is clear: work will get faster, better and more efficient. Then months pass, and the productivity jump never quite shows up in the figures.

The reason is rarely the tool itself. A license gives people access – it doesn’t give them skills. One employee uses AI to draft a few emails, another has automated half of their weekly reporting, and a third doesn’t dare to touch it at all. And the organization usually has no way of knowing which is which.

Access is not the same as ability

Using AI tools well is a skill like any other. It takes understanding how the models work, how to give them good instructions, how to check what they produce and how to use them safely with company data. Without that understanding, an expensive license easily ends up as a slightly smarter search engine.

That’s why investing in licenses alone is only half an investment. The other half is making sure people know how to use what they’ve been given – and being able to see that they do.

AI exams make skills visible

This is where AI exams come in. The biggest AI vendors have built certifications that measure exactly these skills:

• Microsoft offers AI certifications from the basics, such as Azure AI Fundamentals (AI-900), to technical ones like Azure AI Engineer Associate (AI-102).
• Google Cloud has certifications in generative AI and machine learning for both business and technical roles.
• Anthropic certifies skills in using Claude and building with it.

An exam measures everyone’s skills in the same way, against a standard set by the vendor itself. For the organization, that means objective information on how capable people are with the tools. For the employee, it means proof of skills that is recognized across the industry – and a clear goal to learn towards.

How to build AI skills in practice

1. Map roles and tools. Who uses which AI tools, and for what? Everyday users need different skills from the people who build solutions.
2. Choose a certification path for each role. Fundamentals-level exams suit everyone who uses AI at work; technical certifications suit developers and specialists.
3. Give people time to learn. Set aside working time for studying, and use the vendors’ free learning materials.
4. Book the exams. Exam vouchers make paying easy, and a private certification event gets the whole team tested in one go.
5. Follow up and keep learning. AI tools develop quickly, and so do the exams. Many certifications need to be renewed regularly, which keeps skills up to date.

CertyHub helps you get your team certified

At CertyHub, you can take AI exams from Microsoft, Google, Anthropic and other vendors at our test centers in Espoo and Gothenburg. We help you choose the right exams, sell exam vouchers for your whole team and organize private certification events, where your team takes their exams together at our test center.

Your AI licenses are already paid for. Make sure your people get the most out of them – and that you can see it. Contact us at info [at] certyhub [dot] com and let’s plan your team’s AI certification path together.