Most engineers can build systems they were never taught to question. This book exists to close that gap. Teaching Digital Humanism and AI Ethics is a structured, ready-to-teach curriculum, three full course syllabi, forty-eight week-by-week session plans, and a doctoral research framework, built for the technical programs training the people who will actually build tomorrow's AI systems. No filler theory. No vague ethics-appreciation electives. Just a rigorously designed sequence, grounded directly in the Digital Humanism tradition and its founding literature, that treats ethical judgment as a professional skill worth teaching with the same seriousness as any algorithm. Every session names what students must walk away able to do. Every activity is built to make an abstract tension concrete. Every framework is one an instructor can pick up and teach tomorrow, not next semester after months of redesign. Offered as a sturdy, evidence-grounded starting point, not a finished or final account, for anyone building, adopting, or defending AI ethics education at a technical institution.