Understanding how AI works and how to use it responsibly. Includes prompting techniques, tool usage, and evaluating AI output.

LIT 101 – AI Basics and Key Terms

Students learn the vocabulary and core concepts of artificial intelligence systems.

LIT 102 – Prompts, Inputs, and Outputs

How AI systems process information and generate results.

LIT 103 – Trust, Bias, and Verification

This course teaches students how to think critically about AI-generated content. Learners will explore how AI outputs can appear convincing while still being incomplete, inaccurate, biased, or misleading. The course introduces the concepts of trust, bias, verification, and human review through examples and guided analysis. By the end of the course, students will be able to evaluate AI responses more carefully, identify when verification is needed, and explain why responsible AI use requires questioning and checking information instead of accepting every output at face value.