Artificial Intelligence Advance Topics

Catalog description

This course explores advanced topics in artificial intelligence, focusing on advanced topics shaping the future of AI systems and artificial intelligence systems. Students examine scaling laws, computational power, and the role of inference-time compute in large language models, deep learning, and neural networks. Additional topics in artificial intelligence include reinforcement learning, edge computing, large datasets, expanding context windows, and emerging natural language processing capabilities. Through theoretical analysis and applied exploration, students gain knowledge of state of the art AI techniques, machine learning algorithms, and advanced applications across various industries and business applications. This advanced topics in artificial course equips learners with the tools, techniques, and insight needed to stay ahead of rapidly evolving emerging technologies in artificial intelligence. (Prerequisite: ARIN350)