Imagine a product that quietly adjusts itself so that a first-time user, a power user and someone relying on assistive technology each get an experience that genuinely works for them. That is the promise of inclusive design, and super intelligence is what turns this promise into something practical and scalable, not just an aspiration.

Inclusive design on its own already aims to build integrated, seamless experiences for users of every background. What AI adds is the ability to act on that intention at scale: analyzing huge volumes of user data, anticipating needs, and generating design solutions tailored to real people rather than an imagined "average" user.

With AI tools in hand, designers can reach new levels of creativity and innovation while overcoming the traditional obstacles they face when building experiences that are both engaging and genuinely inclusive. This course is offered by the Arab British Fellowship Training Academy.

Who Should Attend?

• UI/UX designers.
• Design project managers.
• Software developers and AI specialists.
• Data and analytics specialists.
• Graphic designers and digital artists.
• Entrepreneurs and business owners.
• Students and professionals in design and technology.

Knowledge and Benefits

• Grasp core AI concepts, such as machine learning and deep learning, and how they apply to inclusive design.
• Use available AI tools, including generative design and data analysis tools, to improve design processes.
• Analyze user behavior with AI and personalize the user experience based on real data.
• Generate new, innovative design ideas and strengthen the creative process with AI.
• Manage design projects more effectively with AI, including task automation and resource allocation.
• Understand how AI-driven decisions affect design quality and user performance.

Module 1: Inclusive Design Meets Super Intelligence

• What inclusive design means, and why it matters.
• A fast primer on AI: definition, evolution, and where it is applied.
• Why combining the two is a natural fit.

Module 2: Putting AI to Work Inside the Design Process

• AI tools and programs commonly used in design.
• Collecting and analyzing data to inform design choices.
• Using AI to generate design ideas, graphics and layouts.

Module 3: Making Experiences Personal

• Personalizing the user experience with AI.
• Analyzing user behavior and applying the resulting insights.
• Predictive models for anticipating how users will interact.

Module 4: Managing, Automating and Assuring Quality

• Using AI in project management: tracking progress and evaluating performance.
• Automating routine design tasks to save time and resources.
• AI-based testing to guarantee a consistently good user experience.