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Organization, Regulations, and Courses 2025-26


HSE 762 Applied AI

This course provides a working foundation of artificial intelligence models, with a major focus on generative AI and Large Language Models (LLMs). Topics include key concepts related to building AI-powered applications and pipelines, including pre-and post-processing, Retrieval-Augmented Generation (RAG), vector stores, tool use, and agentic behavior.

0.75 Dartmouth units; (HP, P, LP, NC)

*Core Requirement for MS in Health Data Science Online

Prerequisites: None

Offered: Winter

Instructor

Simon Stone

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.