Students learn how data powers AI systems, how bias and privacy affect outcomes, and when human judgment matters most through hands-on activities, real-world case studies, and no-code AI model building.

Navigating artificial intelligence is becoming as foundational as media literacy and digital citizenship. AI Literacy helps students understand how AI systems work, evaluate AI-generated content, recognize bias, protect privacy, and make informed decisions in school, work, and everyday life.


The AI Literacy series is designed to build students' understanding of artificial intelligence through progressively deeper exploration of technology, ethics, and real-world applications. These courses can be offered as standalone electives, incorporated into CTE programs, or used to expand district-wide AI literacy initiatives.
Students build and evaluate no-code AI models while examining the ethical and societal implications of AI systems.
Builds on the foundations established in AI Literacy I and expands students' understanding of advanced AI applications and emerging ethical challenges.
One semester, five instructional units
Key topics:
Whether you're expanding a CTE pathway, adding a technology-focused elective, or introducing AI literacy across your curriculum, explore how this course helps students build the knowledge and judgment needed to use AI responsibly.