1. Exploring Computer Science (ECS) AI Curriculum

The Exploring Computer Science (ECS) programme, Students are encouraged to engage deeply with AI concepts through real-world applications, critical discussions and practical projects. Rather than focusing solely on programming, ECS broadens students’ understanding of AI by exploring ethical concerns, societal impacts and the underlying mechanisms of AI systems – an approach I believe is vital for developing well-rounded future technologists.

2. University of Colorado Boulder AI Curricula

The University of Colorado Boulder has created outstanding AI resources for secondary education. The curriculum is structured around the “Five Big Ideas in AI“: Perception, Representation and Reasoning, Learning, Natural Interaction and Societal Impact. The programme’s practical, hands-on activities – many of which require no prior coding knowledge allow all students to engage meaningfully with AI concepts, regardless of their technical background.

3. STEM Learning Afterschool Club AI Curriculum (UK)

STEM Learning has developed a targeted afterschool curriculum that introduces AI through accessible hands-on activities. Designed to foster engagement outside the traditional classroom setting, the programme uses challenges, debates and real-world scenarios to teach AI fundamentals. This afterschool curriculum represents a fantastic way to broaden access to AI learning opportunities, especially for students who might otherwise not encounter these topics.

4. Raspberry Pi Foundation: Experience AI

The Raspberry Pi Foundation, working in collaboration with DeepMind, has produced Experience AI  a free, modular educational programme for secondary school students. Lessons explore machine learning, neural networks and ethics, combining theory with practical, real-world examples. This curriculum encourages students not just to understand AI, but also to critically evaluate its uses in society.

5. Code.org AI and Computer Science Curricula

Code.org integrates AI education into its broader Computer Science Discoveries course, offering approachable, interactive lessons about how AI works, real-world applications and the ethical questions AI raises. With video content, simulations and classroom debates, the curriculum supports diverse learning styles and backgrounds. I particularly appreciate how Code.org’s mission to democratise computer science aligns with my commitment to inclusion and accessibility in technology education.

6. Google’s AI Experiments and Curriculum Resources

Google offers a suite of free AI experiments and classroom resources designed to lower the barrier to entry for understanding machine learning and related concepts. Tools like Teachable Machine and interactive activities allow students to experience AI first-hand. These playful and intuitive resources are excellent for creating curiosity and supporting exploratory learning, a crucial starting point for more advanced study.

7. UNESCO’s “AI and the Future of Learning” Curriculum

UNESCO’s global curriculum initiative addresses the intersection of AI, education and ethics. It promotes an inclusive and socially responsible understanding of AI. Students are encouraged to view AI as a tool for solving local and global challenges, considering equity, privacy and human rights. Much like the international work I have contributed to, UNESCO’s curriculum reminds us that AI education must serve all communities and aim to foster a more just and empowered future.

Final Thoughts

In my opinion, teaching AI is about fostering critical thinkers, ethical designers and empowered innovators. These curricula offer a strong foundation for secondary educators seeking to introduce AI in an inspiring, meaningful way.

In my work developing AI materials for schools, I aim to make complex technological concepts both approachable and relevant to  learners. I encourage educators to explore these programmes and join me in preparing the next generation to not only understand AI but to shape its future with confidence, creativity, and care.