Architecting intelligent systems requires a deep comprehension of both the theoretical foundations of AI and the applied challenges posed. This implies carefully selecting appropriate algorithms, structures, and datasets to create systems that can evolve from data and perform complex tasks. A key element of this approach is securing the robustness