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Introduction
Foundations provide the essential groundwork for researching and building meaningful, responsible AI products.
Think of it as your starting point — a step-by-step guide that helps you understand how AI fits into real user problems and how to design experiences that stay human-centered, trustworthy, and effective.
Through these four chapters, you’ll learn how to identify opportunities for AI, understand user behavior, build trust, and design for failure and recovery.
Together, they form the core thinking process that every AI product needs before patterns or activities come into play.
By mastering these fundamentals, you’ll gain the clarity and confidence to move from idea to insight — creating AI solutions that are both innovative and responsible.
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Course 1 : Understanding User Needs
Learn how to identify genuine user problems and determine where AI can make a real difference.
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🔒 Course 2 : Creating Mental Models
Explore how people form expectations about AI systems, and support clear, healthy mental models.
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🔒 Course 3 : Building User Trust
Discover principles for earning, sustaining, and calibrating trust, ensuring people feel confident using your AI.
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🔒 Course 4 : Addressing Graceful Failures
Prepare for errors and breakdowns by designing recovery strategies that keep users supported and engaged.
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