Who is this training for?
- Leaders
- Managers
Training objectives
- Collaborative approach: Benefit from collective intelligence to deepen your understanding of AI in an organizational context.
- Practical learning: Apply the concepts covered through hands-on workshops.
- Professional development: Strengthen your skills to stay relevant in a constantly evolving environment.
Summary
Everyone agrees that artificial intelligence will have major impacts on organizations and businesses. First, automating repetitive tasks will increase operational efficiency and reduce costs. In addition, AI will enable advanced data analysis, facilitating decision-making based on accurate, real-time information. Customers, for their part, will benefit from personalized services thanks to AI's ability to understand and predict their needs. Finally, AI will transform business models by opening up new opportunities for innovation and growth. Participants, coming from different organizations, form a learning group. Each one brings their own professional challenges and concerns.
Format: Sessions take place every two (2) weeks to allow for progress tracking and ongoing problem resolution.
Course outline
Session 1: Demystifying AI and its transformational potential (business case)
Session 2: The challenges and success factors of responsible AI
Session 3: Strategies for implementing AI in organizations
Approach and methodology
This circle favours a collaborative, experiential approach that fosters learning through peer exchange, experience sharing, and collective intelligence. Sessions combine conceptual input, hands-on workshops, and guided discussions to explore real-world cases of AI integration in an organizational context. The gradual, time-spaced approach supports the retention of learning, experimentation in a professional setting, and the ongoing development of skills.
Recommendations
- Have a general understanding of digital concepts and artificial intelligence (no advanced technical prerequisites required).
- Be exposed to an organizational context where transformation, data, or innovation challenges are present.
- Come prepared with concrete situations or professional challenges to share, in order to enrich the discussions and collaborative workshops.
