PRACTITIONER GenAI

The environmental challenges, developments in regulation and consumers’ new needs are transforming the automotive industry. Vehicles are becoming electric, connected and smart. All these shifts require new skills, notably in analysing and processing data.

Knowledge (Understanding) :

• Understanding of Generative AI : Participants will discover what Generative AI is and its potential through prompting tools.
• Operation of GenAI tools : The workshop includes a practical discovery of the tool, implying an understanding of how it operates.
• Principles of CO-DRAFT : The CO-DRAFT framework is presented as a source of inspiration and a means to organize prompts.
• Uses of Generative AI : The "Rosace AI for All" session aims to explain the different types of uses for Generative AI.

Know-how (Practical Skills) :

• Practical use of GenAI tools : Participants will practice using GenAI tools by testing prompts and submitting their results.
• Creation of effective prompts using CO-DRAFT method and CORPUS : The CO-DRAFT and CORPUS exercises aim to improve the participants' ability to create effective prompts.
• Evaluation and refinement of results : Participants will learn to evaluate and improve the outcomes from their prompts.

Soft Skills (Behavioral Skills) :

• Collaborative work and feedback : The workshop encourages sharing and continuous collection of feedback.
• Co-responsibility posture : Participants realize they are co-responsible for the request and the result of the request.
• Critical thinking, adaptability, and creativity : The various activities require participants to be creative and adapt to new information.
• Daily AI reflex : Participants are encouraged to question the use of GenAI for their daily tasks.
• Openness to experimentation and learning : Participants must be open-minded to discovering and experimenting with the AI tool.

Participants are awarded this badge when they meet the following criteria:

• Being able to launch a prompt on a Generative AI tool,
• Being able to make a more advanced prompt (several possible methods) and to step back to evaluate the value of the result.