Train the Trainer: Mistral AI

This Train the Trainer program prepares independent trainers to deliver Mistral AI Promptathon sessions for Luxembourg civil servants. Through a progressive, coaching-based methodology, trainer candidates move from experiencing the course as learners to delivering it independently. The program is built on structured reflection: candidates complete a self-assessment across seven dimensions of training practice, receive individual coaching, observe live sessions, co-teach, and ultimately deliver solo with observation and written feedback. Upon successful completion, trainers are certified by AI Bridge and recognised as part of its extended trainer network, ready to deliver high-quality Mistral AI training at scale.

Access to a professional account of Mistral Le Chat is mandatory.

Training 1: Experiencing the Mistral AI Promptathon as a participant (observation at BnL sessions in June 2026) – to be booked here: https://doodle.com/sign-up-sheet/participate/3f121ada-512a-4928-ab6f-0e118093ee17/select 

Self-Assessment: Structured workbook covering seven dimensions of training practice 

Coaching: Half-day group session (4 trainers per session) to debrief self-assessment, align on focus areas, and introduce the observation and feedback framework 

Collaborative Delivery Day: All 8 trainers on-site for one full day, each delivering a 15–30 minute segment with structured group discussion on content delivery 

Content Office Hours: Two 1-on-1 remote sessions per trainer with AI Bridge to address content questions, edge cases, and participant questions from first solo deliveries

At the end of the training, learners will be able to:

• deliver the full Mistral AI Promptathon curriculum confidently and independently to groups of up to 20 participants 
• facilitate interactive AI training sessions using structured prompting exercises and real-world use cases 
• assess their own training practice across seven dimensions and identify concrete areas for improvement 
• handle participant questions on AI concepts, Mistral-specific edge cases, and responsible AI use in the public sector 
• adapt training materials to their audience while maintaining content quality and pedagogical consistency

• Lecture (slides presentation, theoretical instruction ...)
• Real-world scenarios / examples
• Practical exercises (problem-solving, coding exercises, modeling exercices, quiz...)
• Group work (collaborative exercises, peer feedback, workshops...)
• Role playing
• Project-based learning