Quantum AI Systems: Theory, Architecture, and Applications presents a rigorous system-level framework for integrating quantum information science and artificial intelligence into deployable, governable architectures. Volume III develops the learning and architectural foundations of Quantum AI Systems (QAIS). Covering Chapters 6-8, the volume introduces quantum learning mechanisms, architectural integration principles, QALIS-based system design, and the transition from representation and reasoning toward adaptive intelligent behavior. Designed for students, researchers, professionals, and technically informed readers, the text emphasizes systems-level analysis, architectural governance, verification, resilience, and real-world deployment considerations.