Architecting intelligent systems necessitates a deep understanding of both the theoretical foundations of AI and the real-world challenges posed. This entails carefully selecting appropriate algorithms, architectures, and datasets to build systems that can adapt from data and perform complex tasks. A key aspect of this methodology is guaranteeing