Applied AI NL
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Year 4 · November

Project Assignment: Agent Solution and Data Management Implementation

Gen AI Makers

Everything comes together: an agent solution with the accompanying data management, actually implemented at an organisation.

Why this module

Why this matters

This is the dress rehearsal for your graduation: proving that you can work end-to-end — from a client's question to a working, managed solution.

The assignment is deliberately integral: technology and data and frameworks and people. Exactly the way things go in practice.

What AI changes

How this subject itself is changing

Building the agent takes the least time in this project — that is new, and it moves the centre of gravity of the assignment. What used to be the proof that you could do it is now the part that finishes first.

The weight sits with what was always hardest and now carries the burden of proof as well: the data management underneath, the frameworks around it, and the people who have to work with it. An agent that works technically but that nobody uses is not a solution.

Content

What you will learn

Application

Directly in your own practice

You carry out the assignment in your own organisation or for an external client — with real users and real data.

Your own organisation

A participant implements a quotation assistant, including knowledge management, at their own employer.

External client

A pair builds an agent workflow for order intake for an SME, including the data housekeeping.

Handover

Every assignment ends with working software, documentation and a trained administrator.

How you work

Learning alongside your job

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.

The format is not new: the teaching approach and the AI modules have been running for three years at the AI Proeflokaal — with business, with government, and across part-time modules and minors. What you meet in class here has already been worn in elsewhere.

After this project assignment you have an implemented agent solution plus implementation dossier to your name.

Questions about this module?

Want to know if this suits you?

Email or call the programme — we're happy to help you think it through.

onepager for students (pdf) · onepager for employers (pdf)