Architecting intelligent systems necessitates a deep grasp of both the conceptual foundations of AI and the applied challenges involved. This involves carefully selecting appropriate algorithms, frameworks, and training to build systems that can evolve from data and execute complex tasks. A key aspect of this methodology is securing the robustness