CS 6180 — Foundations for Generative AI
4 semester hoursGraduateLectureusually offered: fall, springOnlineSilicon Valley, CAVancouver, CanadaHybridOnlineTraditional
Offers students an opportunity to obtain both the theoretical foundation and practical skills to understand, analyze, and apply generative AI techniques effectively. Begins with foundational concepts in AI and machine learning; progresses to advanced natural language processing, transformer models, and large language models; and concludes with cutting-edge techniques like prompt engineering, domain-specific adaptations, and retrieval-augmented generation.
Prerequisites
- one of:
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2025 | 1 | 26 | 29 | 90% | 3.0 |
| Spring 2026 | 4 | 119 | 151 | 79% | 8.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 18% · T 0% · W 46% · Th 0% · F 0%
Common patterns: async (54% of sections), W (28% of sections), MW (18% of sections) — in patterns, R means Thursday
Professors
Fall
- Nadim Saad (100% of students) · reviews
Spring
- Ryan Rad (77% of students) · reviews
- Jiaji Huang (23% of students)
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list CS 6180 in their prerequisites.
Links
Official catalog (CS course descriptions) · Student reviews on RateMyHusky · All CS courses · Plan it at numap.app