Certified Artificial Intelligence Strategist (CAIS)

The course is built around simple, visual frameworks that help participants think about AI in a structured way, without technical complexity. Short presentations are followed by practical exercises where participants map opportunities, prioritize use cases, and sketch AI roadmaps for their own organization. Real case studies from different sectors are used to highlight what works, what fails, and why, making the concepts concrete and relatable. Throughout the course, participants work in small groups to co-create strategy elements, present their ideas, and receive feedback in a safe and collaborative environment.

By the end of the course, participants will be able to:

• Identify and prioritize AI use cases that align with organizational goals and real pain points
• Assess basic data, people, and process readiness for AI initiatives
• Design a simple AI roadmap, including phases, quick wins, and longer-term initiatives
• Outline governance, risk, and change management elements required for sustainable AI adoption
• Envision and forecast new technical possibilities in the GenAI field in the short and medium-term

This course is designed for professionals and managers from any function who are involved in decisions about innovation, digital transformation or service improvement. It is suitable for non-technical participants who want to understand how to move from experimenting with AI tools to leading structured AI initiatives. The course is relevant for individuals in areas such as operations, HR, finance, strategy, customer experience, policy, data, and program management. It is also valuable for those who act as bridges between business teams and technical or IT teams, and who need a shared language and clear frameworks for AI.

• AI literacy and strategic thinking
• AI opportunity identification and prioritization
• AI governance and risk awareness
• Change management and stakeholder alignment