Architecting intelligent systems demands a deep comprehension of both the abstract foundations of AI and the applied challenges involved. This implies carefully choosing appropriate algorithms, structures, and training to develop systems that can adapt from data and accomplish complex tasks. A key aspect of this methodology is securing the robustn