Architecting Intelligent Systems
Architecting intelligent systems requires a deep comprehension of both the abstract foundations of AI and the real-world challenges involved. This entails carefully determining appropriate algorithms, frameworks, and datasets to develop systems that can evolve from data and execute complex tasks. A key element of this methodology is ensuring the r