This course explores the architecture, development, and security of modern AI systems, emphasizing end-to-end trustworthiness, robustness, and compliance. Topics include secure foundation models, data governance, adversarial threat modeling, MLSecOps, AI agents, and responsible AI deployment. Students are able to design and implement AI applications that prioritize integrity, privacy, and resilience against adversarial risks.