AI+ Design

The AI+ Design certification is meticulously crafted to equip designers with the advanced knowledge and skills required to harness the transformative power of artificial intelligence in the design industry. This comprehensive program blends foundational AI concepts with practical applications in design, emphasizing innovation, strategic implementation, and continuous adaptation to emerging trends. It prepares participants to not only integrate AI into their design practices but also to lead the evolution of design in an AI-driven future.

Upon successful completion of the AI+ Design course, participants will be certified to demonstrate comprehensive proficiency in integrating Artificial Intelligence (AI) into design processes. This certification recognizes their mastery of foundational AI principles in design, adeptness in utilizing AI tools and technologies tailored for designers, and capability in leveraging data-driven insights for personalized user experiences. Graduates will showcase innovation through the application of Generative AI, skillfully conduct AI-enhanced prototyping and user testing, and strategically implement AI in design projects to achieve business objectives. Additionally, participants will exhibit foresight into emerging technologies shaping the future of design and a commitment to continuous learning and professional development in the dynamic field of design.

Prerequisites

• Understand AI basics and how AI is used - no technical skills required

• A keen interest and motivation to explore the intersection of AI and design

• Willingness to think creatively to generate ideas and use AI tools effectively

Exams

• Number of Questions: 50

• Passing Score: 35/50 or 70%

• Duration: 90 Minutes

• Format: Online via AI Proctoring platform

• Question Type: Multiple Choice/Multiple Response

Exam Overview: 

• Foundations of Artificial Intelligence (AI) in Design - 11%

• AI Tools and Technologies for Designers - 13%

• Data-Driven Design and Personalization - 13%

• Generative AI for Creative Exploration - 13%

• AI-Enhanced Prototyping and User Testing - 13%

• Strategic Implementation of AI in Design Projects - 13%

• Emerging Technologies and the Future of Design - 13%

• Continuous Learning and Development in AI+ Design - 11%