INFO 2101 - AI Agents for Problem Solving

4.5 Credits

Students will explore the fundamental concepts of agentic (AI agent) systems and how to create these workflows while analyzing their outputs for reliability, accuracy, and ethical implications. Students will design workflows that guide AI agents to perform complex tasks and evaluate their performance using metrics such as accuracy, bias, task completion, and safety. Through hands-on projects, students will create functional AI agents that automate real-world processes, applying theoretical concepts to practical problems. By the end of the course, students will have developed a nuanced understanding of agentic systems and the skills to harness their power for positive impact.

Lecture Hours: 4.5
Lab Hours: 0.0
Internship Hours: 0.0
Clinical or Practicum Hours: 0.0

Course Objectives

Explain the fundamental concepts of agentic (AI agent) systems.

Analyze the reliability, accuracy, and ethical implications of AI agent outputs.

Design workflows that guide AI agents to perform multi-step tasks.

Evaluate the performance of AI agents for accuracy, bias, task completion, and safety.

Create a functional AI agent that automates a real-world process.

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