Architecting intelligent systems demands a deep grasp of both the theoretical foundations of AI and the practical challenges presented. This involves carefully determining appropriate algorithms, architectures, and datasets to build systems that can learn from data and perform complex tasks. A key factor of this process is securing the robustness