One theme per period
Four blocks a year — September, November, February and April. You start in September or February. Miss a block and you simply rejoin at the next starting moment.
This programme is new. There are no graduates yet who can tell you their story — and we would rather show you nothing than something invented. What does exist already: the modules, and the learning with AI that is built into every class from day one. Here is what that feels like.
The programme is modular: one theme per period, two starting moments each year. You study while working, and that job is not an obstacle — it is your practice material.
Four blocks a year — September, November, February and April. You start in September or February. Miss a block and you simply rejoin at the next starting moment.
Friday from 13:00 to 19:30 and Saturday from 10:00 to 16:30, every other week. Count on 15 to 20 hours a week in total, including self-study and assignments.
You carry out assignments inside your own organisation. Study and work largely overlap: what you build in a module is something you can take further on Monday.
During the week your lecturers are with clients: building AI solutions, setting up data management, advising boards. What they tell you on Saturday, they lived through that week — including what went wrong.
Here AI is not only the goal but also the medium you learn with. Every learning situation has its own bot. That mainly changes when you learn: not when a lecturer has time, but when you are ready.
They explain the material at your level and answer your questions — without limit, at eleven at night, long after the class has ended.
Feedback before you submit, not after. You hear what could be better while it still helps — so you learn from every version instead of from your grade.
A practice audience that asks sharp questions about your story. As often as you like, before it counts for real.
Practise out loud in a real conversation: you speak, the bot speaks back. For conversational skills and presenting.
Unlimited practice with exercises and mock exams, at your own pace and level, with an explanation for every answer.
Helps you plan and keep track of your progress. That is exactly what makes the difference when you combine studying with a full-time job.
They play your stakeholders: a critical client, a board member, a regulator. Safe practice before the real conversation.
This programme is new, so we cannot present you with alumni. And we will not put invented quotes here — you would not believe them anyway, and rightly so. What we can show you is what sits underneath the programme. That is not a plan; it is the class as it is taught today.
The teaching approach and the AI modules did not come fresh off the drawing board. They have been running for three years at the AI Proeflokaal: in projects with business and government, and across a range of part-time modules and minors. What you meet in class here has already been worn in elsewhere.
The graduate profiles were redefined for a world in which you direct agents, the curriculum was redesigned onto them, and the teaching team was taken along — the part that is usually skipped elsewhere.
Lesson bots, feedforward bots, presentation bots, voice bots, practice and test bots, a study coach, role-play bots. Each built for one learning task. Not a trial with a single chatbot: this is how the teaching works here.
The people who designed this programme stand in front of the class themselves and still work in the field. You are not hearing the story from a support department.
What we see is that skills are built far faster this way. Honestly: we have not measured it yet. Once the first participants have finished their module, their verdict goes in this space — you would rather hear it from them than from us.
Email or call the programme team — or view the full programmes on hu.nl.