Architecting intelligent systems demands a deep grasp of both the conceptual foundations of AI and the applied challenges presented. This implies carefully selecting appropriate algorithms, frameworks, and information to build systems that can adapt from data and perform complex tasks. A key aspect of this methodology is guaranteeing the robustnes