AI Enabled Innovation

This course is delivered through a fully applied, case-centered learning journey. Participants work in teams on a single practical case that progresses across all five modules, with each module building directly on the outputs of the previous one. Short concept briefings are used to introduce key design thinking and AI application principles, followed immediately by structured application to the case.

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

• Apply design thinking principles to frame complex problems and define meaningful challenge statements for an AI-enabled case
• Analyze user needs and contextual data using AI-supported research techniques to generate actionable insights
• Generate innovative solution concepts by combining human creativity with AI-assisted ideation methods
• Design low-fidelity prototypes that integrate AI capabilities to address defined user needs and constraints
• Evaluate solution concepts through structured testing, feedback, and iteration using qualitative and data-informed inputs

This course is designed for professionals involved in problem-solving, service improvement, innovation, product or process design, digital transformation, and operational improvement. It is suitable for practitioners across functions who are expected to contribute to solution design and implementation, regardless of formal leadership roles. The course is appropriate for participants with varying levels of prior exposure to design thinking or AI, as it focuses on practical application rather than technical development.

• Human-centered problem framing
• Analytical thinking
• Creative ideation
• Prototyping and experimentation
• Evidence-based decision making
• AI literacy for practitioners