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Case study · Higher education

Training future hospitality professionals in AI.

I've been teaching at a hospitality and management school since 2019, and designing its applied AI curriculum since 2023. Content rewritten every year, because the subject won't sit still.

Starting from the job, not the technology

The classic trap of an AI course at a management school is teaching concepts. Students end up able to quote the vocabulary and name three tools, and change nothing about how they work once they're on the job.

The approach here reverses that order: it starts from real tasks in the sector, replying to multilingual enquiries, handling guest reviews, building offers and packages, preparing recurring documents. The tool comes second, as a means.

Workshops on the tools the sector actually uses

Exercises run on the tools students will meet in the workplace, using cases drawn from real hospitality situations rather than generic examples. A student who has already drafted a reply to a difficult review, then critiqued the tool's own output, can do both on placement.

That requirement has a direct consequence: the content ages fast. It's rewritten every year, which forces a fresh read of the state of the art rather than replaying a fixed deck.

Assessment that checks use, not recitation

Exams are designed to certify and to measure a working competence: knowing how to phrase a request, knowing how to judge an output, knowing how to spot a factual error before it reaches a guest.

That last point is what separates a trained professional from an occasional user. An AI tool always produces something; knowing when not to use it is part of the skill.

The course, in a computer lab

A computer lab at a higher education institution during a class, students at their workstations and the instructor facing the group
Generated illustration, representative of the computer-lab format of the course. This is not a photograph of an actual class.

What it delivered

  • Successive cohorts trained on concrete professional uses of AI, not generalities about the technology.
  • Course content rewritten every year, at the real pace tools evolve.
  • Certifying exams that assess the ability to judge an output, not just generate one.
  • First-hand knowledge of the hospitality sector that in turn feeds business engagements.

A similar project?

Training your team or your students in AI?

Whether it's a school or a company, the principle is the same: start from real tasks, work on the actual tools, and check for real use at the end. OPCO (France's sector-based training funding bodies) funding may be available on the company side.