Architecting Intelligent Systems
Architecting intelligent systems requires a deep understanding of both the theoretical foundations of AI and the real-world challenges presented. This involves carefully choosing appropriate algorithms, structures, and datasets to develop systems that can evolve from information and execute complex tasks. A key aspect of this methodology is securi