Overview
Description
This course provides a hands-on overview of artificial intelligence (AI) application development using Python and Large Language Model (LLM) tools. Students learn the foundational programming and API skills required to build and deploy AI-powered applications. Topics include Python programming essentials, web-based API integration, and basic OpenAI model utilization for generative AI and chatbot creation. The course emphasizes practical development through coding exercises, web integration, and iterative projects that connect AI concepts to real-world problem-solving.
Requirements
Prerequisites
- Registration in the Masters of Science in Information Systems (MSIS) Program
IS 350
Original catalog text
Prerequisites
Prerequisite(s): IS 350 or Registration in the Masters of Science in Information Systems (MSIS) Program
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall
Terms
fall
Restrictions
Registration in the Masters of Science in Information Systems (MSIS) Program
Attributes
Standard
Learning Outcomes
- apply programming and computational thinking skills to design and develop Python-based applications that integrate artificial intelligence (AI) capabilities.
- design, construct, and evaluate generative AI chatbot systems by implementing and querying large language models (LLMs) using appropriate toolkits and frameworks.
- employ fundamental programming concepts to analyze and create AI-driven solutions that address practical business or organizational challenges.
- explain in AI model structures, data handling, and input/output management through project-based development and implementation.