Architecting intelligent systems necessitates a deep grasp of both the abstract foundations of AI and the applied challenges involved. This implies carefully determining appropriate algorithms, architectures, and datasets to build systems that can learn from data and accomplish complex tasks. A key factor of this process is guaranteeing the robust