AI for Educators

Absolutely. This course is designed specifically for educators, not technologists. Every concept is explained in plain language with practical classroom examples. If you can use email and a learning management system, you have all the technical skills you need. There are no coding exercises, no command-line tools, and no assumed knowledge of how AI works under the hood.

Ethics is woven throughout every module, not siloed into a single lesson. Every tool and technique is presented alongside its ethical implications — plagiarism, data privacy, equity of access and the importance of preserving genuine learning relationships. Module 5 goes deep on academic integrity, and Module 6 helps you build classroom and institutional policies that reflect your school’s values.

The course covers all education levels — primary, secondary and higher education. While some modules focus on secondary and higher education challenges like plagiarism detection and academic integrity, others — like lesson planning, inclusive education and AI literacy — are directly applicable to primary school contexts. Each module flags where advice differs by level.

Yes. Module 6 is specifically dedicated to creating classroom and institutional AI policies. You’ll get templates, frameworks and real-world examples that you can adapt to your school’s context, along with strategies for parent communication, staff alignment and governing body presentations.

Module 4 is entirely dedicated to AI for Inclusive Education, covering practical strategies for supporting students with dyslexia, autism, ADHD and English as a second language. The instructor has personal experience building autism-focused educational tools, so the guidance is grounded in real practice, not theory. You’ll learn how to use AI to create differentiated resources, adjust reading levels and build personalised support plans.

This course is built on the conviction that it won’t — and shouldn’t. AI can handle administrative burden, create resources and provide personalised support, but the human relationship at the heart of teaching is irreplaceable. The course helps you use AI to spend more time on what matters most: your students.

Module 5 tackles plagiarism and academic integrity head-on. Rather than just showing you detection tools (which are increasingly unreliable), it helps you rethink assessment design so that AI becomes part of the learning process instead of a shortcut around it. You’ll get practical frameworks for setting clear expectations, designing AI-resistant assessments and having honest conversations with students about responsible use.

The course covers 8 modules, and you can work through it over a term, during school holidays or in short sessions between classes. For the most impactful experience, join a live lesson where Rupert walks your team through the material with real-time Q&A and classroom-specific guidance — ideal for professional development days. Contact us to find out when the next one runs.

They will — and that’s expected. The course focuses on transferable skills and frameworks rather than step-by-step tool tutorials that date quickly. You’ll learn how to evaluate new AI tools, assess their classroom suitability and adapt your approach as the technology evolves. Module 8 specifically addresses the future of teaching and how to stay current without constant retraining.

You’re encouraged to. The course includes downloadable templates, policy frameworks and discussion guides designed to be shared within your school or department. Many educators use the materials to run professional development sessions for their teams. For whole-school or district licensing, get in touch via our contact page and we can discuss team options.

The live lesson is $220 AUD ($150 USD) per person for the course. It covers the same core material in an instructor-led format with real-time Q&A, group exercises, and direct feedback from Rupert.

Contact us to find out about the next live lesson.