For organisations
Train a team, build AI literacy, frame use cases and work from your documents, constraints and risks.
Discuss professional training ↗Learn · practice · frame
Learn AI without staying on the surface.
Understand the principles, practice the right methods, frame use cases and know when AI really helps — or when it becomes risky.
LinkedIn Learning
Already taught at scale
Before the generative AI wave, I taught big data, text mining, deep learning and digital transformation on LinkedIn Learning.
47,000+learners visible across these courses⭐️ 4.7/5highest learner rating
For individual learners
A consumer video course is in preparation: method, exercises, generative AI, prompting and context engineering at your own pace.
Video course coming soonMethod
Three learning gestures, adapted to your needs
Understand
Models, agents, hallucinations, bias, security, confidentiality, limits and reasonable uses.
Design
Use cases, prompting, context engineering, document workflows, human supervision and evaluation criteria.
Code / industrialise
Python, APIs, notebooks, pipelines, prototypes, machine learning and reproducible systems when needed.
AI · Art · Graphic design
Bringing generative AI into a creative process
Since 2022, I have been teaching AI beginners — design students, creative professionals, artists, graphic designers and communicators — how generative AI is reshaping visual creation and how to produce images with intent, not just effects.
The goal is not to “make pretty images with Midjourney”, but to define an intention, build prompts, explore style, test limits, discuss copyright and understand what still makes an artwork.
A few examples developed in class with students and evening-course professionals: framing exercises, visual series, patterns, mockups and limits testing.
IPAC GenevaBachelor Graphic Design
Evening course for professionals in design, digital marketing, production and graphic design
AI beginner level at the start.
Programme: reflections on art and creativity. Generative AI applied to graphic creation, posters, logos, moodboards. Advanced prompting techniques, AI limits, copyright.
University of GenevaEvening course AI & Art · 2022–2024: visual culture, artists, styles, uses and limits.
2023: training AI on a specialised corpus, moving from generated images to a controlled visual system.
Château VoltaireCuratorship of the exhibition “IA ou Réalités”: showing, contextualising and questioning.
Formats
Possible formats
The video course gives an individual method. Professional training adds context: your jobs, data, documents, risks and collective decisions.
Conference - panel discussion
Open an AI conversation with a broad audience, without unnecessary jargon.
Workshop - seminar
Help a team practice on its own roles, documents or use cases.
1–5 day training
Programme on request. Can be specialised around your data and your needs.
Advisory
Frame a project, audit a use case or turn an intuition into a useful prototype.
What participants say
“There was a before and after in the understanding of what AI is.”
“A fine understanding of the techniques and associated issues.”
“He explains even the most difficult notions in very clear language.”
“Very interesting practical cases.” … “Everything is much clearer in my head.”
“Adapting the pedagogy to the students’ level… consistent with the industrial use case.”
“Excellent pedagogy and popularisation of a technical subject.”
“The ability to make information simple and useful at the same time.”
“His technical data science courses really opened my eyes.”
“There was a before and after in the understanding of what AI is.”
“A fine understanding of the techniques and associated issues.”
“He explains even the most difficult notions in very clear language.”
“Very interesting practical cases.” … “Everything is much clearer in my head.”
“Adapting the pedagogy to the students’ level… consistent with the industrial use case.”
“Excellent pedagogy and popularisation of a technical subject.”
“The ability to make information simple and useful at the same time.”
“His technical data science courses really opened my eyes.”