AI agents powered by Large Language Models are already transforming how we work, learn, and solve problems — and we are only at the beginning. As these systems grow more capable, they hold extraordinary promise for accelerating scientific discovery and democratizing access to high-quality medical, legal, and educational services worldwide. This is a project course coupled with rigorous lectures on the principles, methodologies, and cutting-edge research underlying agentic AI. Students undertake a substantial quarter-long project in either foundational methodology research or building novel agents in a domain of their choice.
Topics include:
| 👩🏫 Instructor | Monica Lam ( lam at cs)
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| 🧑🏫 Head TA | Cyrus Zhou ( zikai at cs) |
| 🧑🏫 TA | Harshit Joshi ( harshitj at cs)
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| 🕒 Time | Mon, Wed 3:00-4:20pm |
| 🏫 Location | CoDa B80 |
| 💳 Credits | 3-4 units |
| Office hours will be posted here in the first week of class. |
Every project is mentored and supervised on a weekly basis. Mentors for this year include:
yuchengj at cs)sliu22 at cs)sunjd24 at cs)zikai at cs)harshitj at cs)Lectures: Monday/Wednesday 3:00-4:20pm in person in CoDa B80. Attendance is mandatory.
Recordings: video recordings of the lecture can be found on Canvas.
Slides: can be found on the Schedule and in the lecture slides folder on Canvas. Posted lecture slides are missing important details to facilitate student participation. Please make sure you watch the lectures.
Homework: can be found on the Schedule and submissions will be on Gradescope.
Contact: Students should ask all course-related questions on Ed, where you will also find announcements. For external inquiries, personal matters, or in emergencies, you can send an email to our staff email cs224v-aut2627-staff@lists.stanford.edu
Academic accommodations: If you need an academic accommodation based on a disability, you should initiate the request with the Office of Accessible Education (OAE). The OAE will evaluate the request, recommend accommodations, and prepare a letter for the teaching staff. Once you receive the letter, send it to the course staff email at cs224v-aut2627-staff@lists.stanford.edu. Students should contact the OAE as soon as possible since timely notice is needed to coordinate accommodations.
Audit Requests: To audit the course, please send an email to course staff email at cs224v-aut2627-staff@lists.stanford.edu, with the subject line "audit cs224v request."
Course Participation: We offer the course on SCPD to serve remote students; it is not to allow students take conflicting courses. In-class attendance and participation are an important part of the course. We allocate 15% of the course grade to class participation, which is important to make the most out of the course.
CS 224V has limited enrollment so as to provide adequate project and research supervision to students. The class is currently waitlist only (class #2029 on Navigator).
Prerequisites: one of LINGUIST 180/280, CS 124, CS 224N, CS 224S, 224U.
Grading is according to the following scheme: