Advanced AI for Computer Scientists

Catalog description

Advanced AI for Computer Scientists synthesizes principles of artificial intelligence (AI) and machine learning (ML) to equip students with the skills needed to design sophisticated AI systems that address real-world problems. The course explores cutting-edge techniques such as meta-learning, zero-shot and few-shot learning, and advanced ensemble methods. The course also covers state-of- the-art deep-learning architectures, reinforcement-learning strategies, and probabilistic-reasoning models. Additionally, the course prepares students to critically evaluate AI systems for performance, efficiency, sustainability, and ethical considerations, ensuring a comprehensive understanding of advanced AI applications.