Faculty pedigree
Our faculty brings experience from
Most AI education begins with tools. Ours begin with judgement.
Most AI education begins with tools. Ours begin with judgement.
Students learn through real-world cases, small-group critique, role-based venture studios, and working prototypes, inside a calm, institutional learning environment.
Each experience is tailored to the student’s progress, ambition, and future academic or career direction.
For students beginning their AI journey.
The entry stage of the Edison pathway. Students learn how modern AI systems work, how to think with them, and how to ship their first real project. Curiosity is the prerequisite, no prior coding required.
For students ready to create with AI, not just use it.
The middle progression. Students design multimodal workflows, architect end-to-end AI systems, and defend their decisions in studio critique. They graduate with portfolio-grade artefacts.
For students building original systems, ventures, research, or leadership portfolios.
The elite progression. Students operate like junior product leads and founders, scoping complex problems, defending their analysis to external panels, and shipping public-facing capstones.
For schools
Edison AI Academy works with Australian schools to design and deliver practical AI curriculum experiences for students, teachers, and leadership teams. Our programs help schools move beyond one-off AI workshops and build a coherent pathway for AI literacy, applied creation, responsible use, and future career readiness.
Introduce structured AI literacy from Years 7–12 through workshops, bootcamps, enrichment programs, and portfolio projects that turn curiosity into demonstrated capability.
Equip educators with practical professional learning on responsible AI use, classroom integration, and thoughtful assessment redesign.
Align AI education with innovation, STEM, enterprise, and future-skills priorities through a coherent pathway that leadership teams can champion with confidence.
Inspired by Harvard case learning, Princeton independent work, Yale mentorship, and Oxbridge-style tutorials, redesigned for the AI age.
Explore our teaching modelStudents complete each module with a working AI-powered prototype, workflow, tool, case recommendation, or portfolio-ready artefact.
See what students buildIn small-group projects, students rotate through real-world roles including founder, product manager, AI engineer, designer, researcher, ethics lead, and growth storyteller.
View the role-based studio modelA five-mode cycle that recurs in every module, from a four-week bootcamp to a sixteen-week senior capstone. What changes is depth, autonomy, and the ambition of the artefact at the end.
Students rotate through the nine roles that shape real AI work, building the cross-functional fluency that distinguishes leaders from operators.
Sets direction, makes trade-offs, and presents the strategic case.
Defines the user problem, prioritises features, and manages the roadmap.
Builds prompts, workflows, prototypes, agents, and technical systems.
Shapes the user experience, interface, storytelling, and usability.
Investigates the problem, benchmarks examples, and tests assumptions.
Evaluates bias, privacy, safety, and unintended consequences.
Defines the target audience, crafts the launch message, and prepares the pitch.
Tests AI output quality, defines success metrics, and reviews performance.
Parents buy confidence. Students buy identity. Schools buy outcomes. At Edison, every module produces visible proof of learning, not just completion.
A working AI-powered prototype.
A portfolio-ready project.
Experience working in a rotating team role.
Stronger problem-solving and communication skills.
Practical AI fluency beyond basic prompting.
A clearer sense of how AI applies to careers, creativity, research, and entrepreneurship.
Sample artefacts from recent cohorts
AI-powered study assistant
Personal productivity agent
Research workflow
Chatbot prototype
No-code AI app
AI ethics case recommendation
Business automation workflow
Final capstone prototype
The Edison guarantee
Every Edison module ends with a working prototype students can explain, present, and improve.
AI is changing how students learn, work, create, and compete. The question is no longer whether young people will use AI, it is whether they will use it with judgement.
Edison gives students structured, rigorous, and human-centred AI education, so they can build confidence, develop capability, and understand the responsibility that comes with powerful technology.
Built on structured learning design and evidence-informed pedagogy, drawn from cognitive science and the world's best teaching traditions.
Students learn when AI helps and when human judgement must lead. Ethics is the curriculum, not a footnote.
Students build tangible work that demonstrates growth and capability, visible to parents, schools, and future universities.
AI will not replace ambitious students. It will replace students who were never taught how to think with AI.
