Architecting intelligent systems demands a deep grasp of both the theoretical foundations of AI and the applied challenges involved. This implies carefully choosing appropriate algorithms, structures, and datasets to develop systems that can learn from information and execute complex tasks. A key element of this methodology is ensuring the reliabi