This course is designed for data, product, and risk professionals responsible for planning and delivering AI-powered products and processes. Get a comprehensive introduction to trust engineering—a discipline that bridges data science, product development, UX, and risk to help teams build AI systems with safety, transparency, and accountability from the start. Through incident-based exercises and structured reviews of transparency assets, discover practical ways to communicate failure modes, limitations,
and risk levels that different stakeholders can act on. Along the way, practice using assessment tools and oversight patterns that support regulatory expectations while keeping AI initiatives moving. By the end of this course, you’ll be equipped with a shared toolkit that your team can use to plan, implement, manage, and improve AI systems more effectively.
