AI Literacy Curriculum

K-12 AI Curriculum Aligned

A comprehensive, adaptable AI literacy program designed to meet educational standards across the country.

AI Literacy for K-12

This program enables schools and youth organizations to deliver comprehensive AI literacy. Students will develop a strong foundation in AI principles, understand its ethical implications, and acquire practical skills for AI application and creation, preparing them for future careers and challenges.

21 distinct courses have been expertly designed to develop both foundational AI literacy and advanced skills. The course list is organised into these eight categories:

Nationwide Curriculum Alignment

Our curriculum is designed for national relevance. Select your state to see how we align with local educational standards for technology, computer science, and digital literacy.

AI Learning Pathway

Learners begin with “What Is AI?”, move into how machines learn and think, progress to practical AI-tool use, and then advance into creation with AI. The pathway culminates in career readiness, entrepreneurial frameworks, future-studies thinking, and specialised topics.

This scaffolded sequence allows students to build conceptual understanding, tool-use fluency, and then apply AI in meaningful real-world and career contexts.

Our 21-Course AI Curriculum

A comprehensive learning journey from foundational concepts to advanced applications, designed for the next generation of innovators.

Curriculum Adapted for Learners Aged 11-14 and 15-18

Ages 11-14

Our curriculum is designed to cater to the developmental stages and learning styles of both middle school (11-14) and high school (15-18) students. For the younger age group, content focuses on concrete examples, interactive activities, and guided exploration to build foundational understanding and critical thinking skills related to AI's everyday impact. The learning approach emphasizes abstract concepts, advanced applications, and complex causes.

Ages 15-18

For older students (15-18), the curriculum delves deeper into independent research, problem-solving, and a more nuanced understanding of AI's technical underpinnings and future potential. Content is differentiated by introducing more sophisticated tools, complex case studies, and opportunities for project-based learning that align with career exploration and advanced academic interests.