AI Training for R&D Teams
Practical, hands-on training programs designed to help your team understand, evaluate, and implement AI solutions effectively.
Navigate AI Without the Hype
The AI landscape is noisy. Every vendor promises magic. Your team needs to separate signal from noise—understanding what AI can realistically do, what it can't, and how to evaluate solutions critically.
My training programs are designed by someone who has implemented AI in production environments, not just read about it. You'll learn from real case studies, hands-on exercises, and practical frameworks you can apply immediately.
After the training, your team will:
- Evaluate AI tools and vendors critically
- Identify high-value AI use cases in your domain
- Understand the technical foundations without needing to code
- Communicate effectively with data science teams
- Avoid common pitfalls that derail AI projects
Training Formats
Flexible options to fit your team's needs and schedule.
Half-Day Workshop
Intensive 4-hour session covering AI fundamentals and your specific domain challenges. Perfect for executive teams and decision makers.
- • Up to 20 participants
- • On-site (France) or remote
- • Custom case studies
Two-Day Bootcamp
Comprehensive training with hands-on exercises, group projects, and personalized feedback. The full experience.
- • Up to 20 participants
- • Hands-on exercises
- • Follow-up Q&A session
Ongoing Advisory
Monthly / weekly sessions over 3-6 months. Training combined with project guidance as your team implements AI initiatives.
- • Continuous support
- • Project reviews
- • Team mentoring
Topics We Cover
AI Fundamentals
Machine learning, deep learning, LLMs—what they are and how they work.
Generative AI
Understanding ChatGPT, Claude, and how to use them effectively in your work.
AI in Life Sciences
Drug discovery, genomics, clinical trials—domain-specific applications.
Prompt Engineering
Getting better results from AI tools through effective prompting strategies.
AI Project Management
Scoping, estimating, and managing AI projects realistically.
Ethics & Governance
Responsible AI use, bias detection, and regulatory considerations.
Ready to upskill your team?
Let's discuss your team's current level, goals, and design a training program that fits.