ITM 641 - Prompt Engineering for AI (3 )

GR

This course focuses on the art and science of prompt engineering for large language models like GPT-3.5 and GPT-4. Students will explore the principles of effective prompting, including how to structure prompts for specific tasks, control outputs, and refine models’ responses. The course will also cover advanced techniques such as role prompting, few-shot learning, and integrating language models into applications using tools like LangChain. By the end of the course, students will be proficient in designing and deploying AI-driven solutions using advanced prompt engineering strategies.
PRE-REQ REQ or RECOMMENDED: Python programming skill is a required prerequisite for this course. To satisfy this requirement, a student may take MDS 600 and MDS 630, or CSC 111 Programming Fundamentals, or transfer in an equivalent course showing Python mastery. Documented non-academic Python training will be considered on a case-by-case basis.

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