Genai And Llm Technologies

Host University

George Mason University

Semester

Fall 2026

Course Number

ECE 553 DL1

Credits

3

Discipline

Electrical & Computer Engineering

Instructor

Erton Boci (eboci@gmu.edu)

Times and Days

7:20 pm - 10:00 pm

M

Course Information

Introduction to Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) offers a practical, hands-on exploration of cutting-edge AI technologies with applications in software development, hardware design, Internet of Things, systems engineering, and beyond. Students will gain foundational knowledge of Microsoft Azure Cloud, including deploying GPU-enabled virtual machines and utilizing the Azure OpenAI service to access models via Jupyter Notebooks and HTTP APIs. Emphasis will be placed on open-source tools and the implementation of Retrieval-Augmented Generation (RAG). Topics include leveraging LLMs for code generation, debugging, and explanation. The course culminates with student-led projects and discussions on emerging trends, providing a comprehensive blend of technical expertise and practical application in AI technologies. This course is ideal for students aiming to integrate LLMs into complex engineering systems and workflows. Offered by Electrical & Comp. Engineering. May not be repeated for credit.

Prerequisites

CS 112 and (ECE 231 or ECE 301) or equivalent