AI is only as good as the data you can unlock: connecting systems, standardising them and making them work together.
In every organisation, data is spread across dozens of systems. Every serious AI application therefore starts with integration: unlocking sources, connecting them and bringing them together reliably.
Interoperability — systems that speak each other's language through standards — makes your solutions future-proof. You learn to choose between integration patterns and to set up the connection securely as well.
You design the data integration for an AI application in your own organisation — from source to model.
An information specialist unlocks three document systems into a single searchable knowledge layer.
A commercial analyst connects the CRM to an AI tool that flags sales opportunities — with proper authorisation in place.
A logistics employee introduces a single message standard with chain partners — and suddenly the forecasts do add up.
You take this module the way you take the whole programme: classes every other week on Friday and Saturday, with a study load of 15–20 hours per week, of which 10–15 hours are self-study. The teaching is a mix of classroom lessons, practice-based learning, blended learning and working groups or study teams — taught by lecturers who practise the profession themselves every day.
You conclude each theme with a professional product or a technical solution based on a real situation in your own work, which you discuss in an assessment with the lecturer. This way your portfolio grows with real work — and your employer benefits directly.
After this module you deliver an integration design for a real AI application, including a security section.
Email or call the programme — we're happy to help you think it through.