The concepts, possibilities and limitations of data and AI — so you can join any conversation on solid ground.
AI terms come at you from all sides: LLM, hallucination, training, inference, bias. If you master the concepts, you see through the hype and spot opportunities others miss.
Literacy also means reading claims critically. What does '95% accurate' really mean? What can a model actually do, and what can it definitely not? You train that level-headedness throughout all four years.
Literacy used to be a glossary: know the terms and you can join the conversation. But this year's terms are not last year's. A subject that hands you a list hands you something that will be out of date before you graduate.
So this subject is not about the terms but about testing them. What does ‘95% accurate’ actually mean here? Which claim is a demo, which is a product? You learn to take apart, today, an assertion you had not heard of last week.
New concepts and developments surface in every module — this learning strand makes sure you keep mastering them.
You analyse a current AI announcement: what is genuinely new, what is marketing?
You dissect a product claim ('99% accurate!') and formulate the questions you would ask as a buyer.
You explain an AI concept to a colleague without a technical background — the ultimate test of understanding.
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 is self-study. The teaching is a mix of classroom sessions, workplace learning, blended learning and working groups or study teams — taught by lecturers who practise the profession themselves on a daily basis.
You conclude each theme with a professional product or a technical solution addressing 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.
By the end you are the colleague who can make sense of AI developments — level-headed, up to date and well-founded.
Email or call the programme team — we are happy to think it through with you.