2025-2026 Academic Catalog

Aug 13, 2025

2025-2026 Academic Catalog

MSCS 3453 - Developing LLM-Based AI Assistants

This course introduces the methodologies, frameworks, and concepts for building AI assistant applications utilizing large language models (LLMs) and traditional natural language understanding (NLU) methods. Students learn how to engineer and refine prompts to achieve better results. Students learn how to create and reuse prompt templates that leverage LLM for systematic reuse. Students will work on real-world hands-on projects to create intelligent conversational agents that complement the human computer interaction in executing process workflows and automating routine user activities. Students develop conversational AI assistants using open-source generative AI frameworks and libraries. The course will cover the latest technologies used in the industry to create vector embeddings to support semantic search and hybrid search using vector databases. This is a Full-Stack project-based development course where students apply modern techniques and methodologies to develop and optimize the performance and accuracy of Generative AI applications.

Prerequisites: MSCS 3450 - Fundamentals of Artificial Intelligence

Anticipated Terms Offered: Annually