The course provides a comprehensive overview of how to leverage generative AI within the design thinking framework. Participants will explore practical applications of AI tools across the empathize, define, ideate, prototype, and test stages. Through hands-on exercises, case studies, and collaborative activities, participants will learn to harness AI to gather deeper insights, generate novel ideas, rapidly prototype concepts, and refine solutions based on data-driven feedback. The training emphasizes ethical considerations and responsible AI use, ensuring participants can effectively integrate AI while maintaining a human-centered approach. 

• Foundations: Grasp the fundamentals of AI and design thinking, including key principles like human-centered design and the ethical considerations of AI integration.     
• Responsible AI: Learn to use AI tools responsibly, evaluating their risks and mitigating potential biases.     
• AI-Powered Synthesis: Utilize AI to accelerate research, synthesize findings, and extract insights while critically evaluating AI-generated outputs.     
• AI-Driven Ideation: Explore AI-powered brainstorming techniques to generate diverse ideas, overcome limitations, and push creative boundaries.     
• AI-Augmented Prototyping: Leverage AI tools for rapid prototyping, concept visualization, and interactive simulations.     
• Future of AI in Design: Discuss the evolving landscape of AI in design, ethical implications, and develop a vision for responsible AI integration.     
• Wrap-up and Action Planning: Conclude with a Q&A, key takeaways, resource sharing, and develop personalized action plans for integrating AI into your design practice. 

• Understand the core principles of design thinking and generative AI. 
• Apply AI tools to enhance each stage of the design thinking process. 
• Effectively gather and analyze user insights with AI. 
• Generate innovative ideas and prototypes using AI. 
• Understand the ethical considerations of using AI in design. 
• Create an action plan for integrating AI into their design workflow. 

This training utilizes a blended learning approach to maximize engagement and knowledge retention. Interactive lectures and discussions will establish a foundational understanding of core concepts, while hands-on exercises and practical applications allow participants to apply their knowledge using real AI tools. Demonstrations of AI tools will offer practical experience and build confidence in utilizing these technologies.