1. Module 1: Foundations of Creativity, Innovation, and Design (2 h)

This module establishes the theoretical foundation for innovation by examining human creativity and the strategic impact of design. Participants learn to transition from theoretical ideation to a testing culture. 

• How human creativity works and what drives novel solutions. 
• The myths that block creative work, including the lone genius fallacy. 
• The main types of innovation and their impact on organisational growth. 
• Design as a core driver of business value and competitive advantage. 

2. Module 2: Tools and Techniques for Creative Problem Solving (2 h)

This session provides practical tools to manage creative workflows, focusing on structured methodologies for creative problem solving and international best practices. 

• Morphological analysis for exploring every possible solution path. 
• SCAMPER (Substitute, Combine, Adapt, Modify, Put to another use, Eliminate, and Reverse) for iterating on existing products and services. 
• Grid brainstorming for organising high volumes of ideas. 
• AI driven ideation: Large Language Models as creative partners that bypass creative blocks and accelerate data synthesis. 

3. Module 3 (Part 1): Design Thinking Frameworks and AI Integration (Practical exercise) (1 h & 30 min)

This session examines specialised frameworks from leading global institutions to support market success and promote the ethical and effective use of AI.  

• The MIT Design Thinking process for discovering the need, defining the problem, designing the concept, prototyping, and verifying. 
• Columbia's discovery model: What Is, What If, What Wows, What Works, that allows participants to learn how to reframe organizational challenges, to provide a structured Design Thinking discovery process and to uncover hidden user needs. 
• The Anthropic 4D AI Fluency Framework for effective and ethical human AI collaboration. 
• The human in the loop principle for accuracy and safety within automated business processes. 

4. Module 3 (Part 1 Continued): Design Thinking Frameworks and AI Integration (Practical exercise) (1 h & 30 min)

This session examines specialised frameworks from leading global institutions to support market success and promote the ethical and effective use of AI.  

• The MIT Design Thinking process for discovering the need, defining the problem, designing the concept, prototyping, and verifying. 
• Columbia's discovery model: What Is, What If, What Wows, What Works, that allows participants to learn how to reframe organizational challenges, to provide a structured Design Thinking discovery process and to uncover hidden user needs. 
• The Anthropic 4D AI Fluency Framework for effective and ethical human AI collaboration. 
• The human in the loop principle for accuracy and safety within automated business processes.