AI Literacy
Build confidence in every student to navigate AI effectively.
A future-ready curriculum that builds critical thinking, ethical understanding, and confidence in every student.
A curriculum that builds confidence, judgement & ethics.
See AI Literacy in Action.
Students are already using AI. Very few understand it.
Without a structured curriculum, students pick up habits and shortcuts without developing the judgment to use these tools responsibly.
Academic integrity issues
Over-reliance without critical thinking. A generation that is dependent on AI without understanding it.
School leaders feel the pressure
The question is how to act on it.
A curriculum built for how students actually learn.
Two differentiated tracks designed to meet students exactly where they are.
Middle School Track
Grades 6–8
Foundational AI literacy. What AI is, how it learns, what it can and cannot do, and how to use it safely and ethically.
High School Track
Grades 9–12
Applied AI literacy. How AI systems work, real-world case studies, ethical frameworks, and project-based learning that connects AI to future careers.
ALIGNED TO GLOBAL STANDARDS
What students learn
How AI systems are trained
And what that means for accuracy and bias.
Critical content evaluation
How to evaluate AI-generated content with judgment.
Responsible and ethical AI use
In academic and personal contexts.
AI as a thinking partner
Problem-solving and decision-making with AI.
Confidence with AI tools
Engaging thoughtfully, not just clicking.
You do not need to be an AI expert to teach this.
Every lesson includes full teacher guides, facilitation notes, and preparation support. Teachers feel ready to run their first session within hours of training, not weeks!
Our team stays available throughout the program, not just at kickoff.
"We're learning how to create lessons that invite AI in but also hang on to students' critical thinking and creativity."
Amity School District
Inside each unit
AI Foundations & Big Ideas
WKS 1–5- Explore AI history, definitions, and real-world examples
- Compare rule-based logic vs machine learning
- Train models using Teachable Machine
Generative AI & Prompting
WKS 6–10- Craft and refine prompts for LLMs and image generators
- Co-create stories and analyse AI hallucinations
- Explore tools: ChatGPT, Gemini, Canva, DALL·E
Ethics & Digital Citizenship
WKS 11–15- Identify bias, fairness, and privacy issues in AI
- Critique deepfakes and AI-driven misinformation
- Develop personal and class AI usage policies
AI in Careers & Domains
WKS 16–20- Explore AI in healthcare, journalism, education, business
- Hear from industry experts on AI career pathways
- Analyse real-world AI case studies across sectors
Capstone Lab
WKS 21–30- Identify a real-world problem and design an AI solution
- Build prototypes using no-code tools
- Present findings at a public project showcase
Structured learning in every 60*-minute session
*customizable according to schedule
Fact-Based Instruction
Core concepts through slides, videos, and guided discussion
Lab Activity
Hands-on exploration using safe, classroom-ready AI tools
Ethics Minute
Structured reflection on bias, fairness, and responsible AI use
Assessment & Reflection
Exit tickets, prompt logs, and portfolio-building activities
"Students don't just use AI — they question it, interrogate it, and reflect on it."
Designed for educators, not only CS specialists
What Teachers Receive
- Turn-key lesson plans with slide decks
- Tutorial videos for every AI tool used
- Ethics reflection prompts & discussion guides
- Student handouts and activity worksheets
What This Enables
- Confident AI instruction from day one
- Consistent delivery across classrooms
- Structured ethical conversations with students
- Data-driven impact reporting for administrators
Optional: 5-hour Professional Development boot camp with 4 modules — Awareness, Efficiency, Ethics, Personalization
From kickoff to classroom
in days, not months.
Discovery call
We learn about your school, goals, and grade levels.
Program configuration
Right track and pacing for your schedule.
Teacher training
Live PD before the first student session.
Program delivery
Structured curriculum with ongoing support.
Impact review
Outcomes review and roadmap for next steps.