Operational AI Consultant & Trainer in Geneva

Why operational AI separates amateurs from professionals

Ninety per cent of AI projects never make it to production. The ones that do often degrade silently — model drift, data quality erosion, infrastructure failures. Operational AI (MLOps) is the discipline that prevents this: automated pipelines, systematic monitoring, version control, rollback capabilities and clear governance.

I train your teams on the full operational lifecycle: model packaging, deployment strategies (blue-green, canary), monitoring (performance, drift, fairness), alerting, incident response and continuous improvement. Every concept is applied to your real AI projects and your Swiss infrastructure.

For FINMA-regulated institutions and healthcare organisations, I specifically address model validation requirements, audit trails and the documentation standards expected by Swiss regulators.

What I can do for you in Switzerland

Beyond training, I support you across your whole project:

• Operational AI audit of your current AI systems.
• MLOps pipeline design and implementation support.
• Monitoring framework for performance, drift and fairness.
• Governance documentation for regulated environments.

Who it is for

• AI and data engineering teams.
• MLOps and DevOps teams.
• IT operations managing AI infrastructure.
• Compliance teams overseeing AI in production.

Operational AI training in Geneva, Lausanne and Zurich

Based in Carouge (Route des jeunes 47B, Canton of Geneva), I deliver on-site training across French-speaking Switzerland — Geneva, Lausanne, Fribourg, Neuchâtel — as well as in Zurich, Berne and Basel, on-site or via virtual classroom. Quotes available in CHF on request.