ARTIFICIAL INTELLIGENCE: ADVANCED

Prerequisite: Course on beginning AI, or equivalent experience. In this course we cover foundational artificial intelligence (AI) concepts, technical infrastructure, practical applications, and the societal implications of AI's rapid emergence. Over five sessions, we explore in lecture and discussion: AI as industrial-scale upheaval (economics, energy, data centers, ecosystem, and an AI taxonomy); how large language models (LLMs) work, with demos of the concepts; advanced prompting, reasoning models and retrieval-augmented generation (RAG); multimodal AI, agents, emergent behavior with exercises; and jobs, sector impacts, governance, artificial general intelligence (AGI), and guided reflection. Please note that this is a course for discussing AI and not for using it.

ARTIFICIAL INTELLIGENCE: ADVANCED (L204)
Dates: 4/1/2026 - 4/29/2026
Times: 12:45 PM - 2:00 PM
Days: W
Sessions: 5
Location: Arsht Hall (opens in new tab)
Instructor(s): Andrea Westerinen, Jeff Westerinen

Course Syllabus

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