Designing Accessible AI Products and Inclusive User Experiences

AI technology is transforming how we interact with software, but many modern AI tools remain unusable for people with disabilities. Designing accessible AI products ensures that everyone, regardless of physical or cognitive abilities, can benefit from these powerful systems. In this text-based course, you will learn how to build inclusive user experiences for AI-driven products. You will discover how to apply foundational accessibility principles to conversational interfaces, generative AI outputs, and automated workflows, ensuring your designs meet modern standards and respect user diversity. What you'll learn: 1. Understand the core concepts of accessibility and how they apply specifically to AI interfaces. 2. Apply modern accessibility standards, including WCAG guidelines, to conversational and generative AI systems. 3. Design interfaces that mitigate algorithmic bias and support assistive technologies like screen readers. 4. Implement inclusive user testing strategies and collaborate with diverse user groups for feedback. 5. Structure AI outputs and feedback mechanisms to be readable, predictable, and easy to navigate. The course begins with foundational definitions of accessibility in the context of machine learning and AI. From there, you will progress through structured text lessons and written practical exercises focusing on interface design, error handling, and inclusive testing practices. This course is designed for beginner product designers, product managers, and developers looking to make their AI features more inclusive. No prior experience in accessibility or AI development is required. Start reading today to build AI products that work for everyone.