Training · Public, institutional & non-profit
AI Training & Education
A pillar in its own right, separate from the business offer. It is aimed at public schools, education authorities and ministry-level teams, as well as private non-profit schools — and, on the private side, at SME leaders and managers who want to bring AI into their company.
The common thread: a practitioner who builds real AI tools every day and passes on what actually works. The same hands-on know-how, adapted to each audience: educational institutions, teachers, business leaders. Training is always grounded in fieldwork, never theoretical.
Discuss an education projectThree catalogues, one method
Each catalogue details its modules, durations, deliverables and how to combine them. Nothing is fixed: the programme is built with you.
Business schools
AI applied to commercial roles: learn to control it, and leave with a tool that works.
16 modules · 52 h · French and English
See the catalogueEngineering schools
Bringing AI into engineering teaching, with a CAD / CAM block: AI proposes, physics decides.
15 modules · 55 h
See the catalogueBusinesses — small and mid-sized
AI training that is training in your own trade: follow-ups, quotes, prospecting, reviews.
24 modules · discovery or hands-on delivery
See the catalogueInstitutional & government
Support for education authorities and ministry-level teams in steering the roll-out of AI in education.
Coordination and steering
Structuring the roll-out of AI across a region or territory: governance, framing of uses, monitoring indicators.
Consolidating training programmes
Harmonising existing pathways, keeping content consistent, scaling up in a controlled way across teaching staff.
Compliance
A framework for AI use in education, GDPR and the EU AI Act: turning obligations into operational rules teams can understand.
A “train the trainers” strategy
Building and equipping a network of internal trainers able to multiply training on the ground.
Fieldwork & teaching
Direct training of teachers and talks to students, with practice-oriented programmes.
Rethinking assessment in the age of AI
Rethinking instructions, formats and criteria so assessments stay valid when students have access to AI.
Designing teaching prompts
A practical method to write, test and reuse prompts suited to a subject and a level.
Differentiation and remediation
Using AI to produce materials adapted to individual needs without multiplying preparation time.
Supervised teaching assistants
Setting up AI assistants with an explicit scope, safeguards and rules of use.
Engineering schools — applied AI
Talks and sessions: from idea to tool, how an AI project is really built.
AI as an engineering skill
What future engineers must be able to do: frame, prototype, evaluate and industrialise an AI use.
Private sector · Businesses (SMEs)
Executives & business managers
Training is not only for the public sector. SME leaders and teams are trained in AI so they can bring it into their own company: decision-oriented and hands-on, not theory.
Understand real-world uses
What AI actually does in business today, what it doesn't, and how to read a vendor's promise without being misled.
Identify use cases
A map of the tasks in your business where AI brings a measurable gain, prioritised by effort and impact.
Build AI into your processes
Hands-on work on your own documents and workflows: writing, analysis, support, sales follow-up, reporting.
Become autonomous
Internal rules of use, tool choices, confidentiality rules and skills growth for your teams, without depending on a provider.
A practitioner, not a training catalogue.
What is taught comes from AI tools that were actually built, deployed and maintained. That is what makes it possible to answer field questions — the ones that arrive after the theory.
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