Prerequisite: Minimum grade of C- in CMSC132. Intermediate Python programming experience and basic familiarity with general APIs and Large Language Models (LLMs) is required. Please contact the instructor if you have any questions about whether you meet these prerequisites.

Course description: In this course we will learn how to leverage LLM applications. We will cover tools like Langchain, Gradio, streamlit, weights and biases, etc.