Executive Education
Project Management Certificate
Frame, steer and deliver — a proven method, in six months.
- Framing
- Planning
- Risk management
- Scrum
IHETC Academy
Data analysis, machine learning and professional use of language models. The field runs from a cleaned spreadsheet to a model in production — including the question always forgotten: where does the data come from, and what is it worth.
Data analysis, machine learning and professional use of language models. The field runs from a cleaned spreadsheet to a model in production — including the question always forgotten: where does the data come from, and what is it worth.
Produced on demand beyond that.
The base is an intermediate plateau. Where the « advanced » column is empty, it stays on display: that is the most useful information here.
This is where the gap between talk and practice is widest. Many professionals already use a conversational assistant without knowing how to verify its output. The first gain is not learning to train a model: it is learning when not to trust one.
What these people actually do once in role — not the title on the payslip.
They turn raw data into a decision. The core of the job is not the tool but the question: an analysis answering the wrong question is well-presented wasted time.
They replace repetitive tasks with reliable chains, and know where automation becomes risky. In demand in SMEs, where nobody holds this role today.
They frame usage, write internal rules and train colleagues. As much a governance role as a technical one — and it has only recently appeared on org charts.
Order matters more than volume: a module taken at the wrong time is a module wasted.
Collection, cleaning, verification. Eighty per cent of the real work, and the part always skipped.
Useful statistics, honest visualisation, and the ability to say « the data does not support a conclusion ».
Applied machine learning, evaluation, monitoring after deployment.
Not to start. A large part of the field can be tackled through spreadsheets and no-code tools, which is often enough to create value in an SME. Programming becomes necessary from the « models » stage onward, stated as such on each course page.
Principles — evaluation, bias, output verification — move slowly; tools move fast. Tool-specific modules therefore carry an explicit date, and a course in session is never changed under your feet: the freeze rule guarantees two learners in the same session received the same teaching.
Correct, and this is the best-served field on that front. The base is an intermediate plateau: it makes you operational, it does not make you a researcher. Expert level is produced on demand, for a specific need, paid in production lead time rather than waiting for a catalogue.
Executive Education
Frame, steer and deliver — a proven method, in six months.
Executive Education
Move from talking about AI to measurable gains.
Executive Education
Lead the digital change of a whole organisation.
Executive Education
The tool everyone thinks they know, finally mastered.
Executive Education
Write your first useful program, with no prior background.
Executive Education
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Executive Education
Attract customers online on a controlled budget.
Executive Education
Run a community that replies, returns and recommends.
Executive Education
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Executive Education
Produce accounts that pass audit — and explain them to management.
Executive Education
Know what AI can do in your organisation — and turn down the projects that will fail.
Executive Education
Lead teams you do not see daily — without surveilling them.