Edison programs are sequenced from holiday bootcamps to advanced AI systems architecture, each one built on the same five-mode learning cycle, with deeper technical mastery at every stage. Every program ends with a public exhibition of student work.
Every Edison program, from a four-week bootcamp to the senior Systems Architect year, runs on the same pedagogy: Inquiry → Explore → Build → Critique → Exhibit. What changes is depth, autonomy, and the ambition of the artefact at the end.
Students do not simply learn AI tools. They learn how to ask sharper questions, design better systems, test their thinking and communicate their work with confidence.
Students define the question, map assumptions, identify users and clarify what a good answer or solution would need to achieve.
Student output
Problem frame, research question or decision brief.
Students define the question, map assumptions, identify users and clarify what a good answer or solution would need to achieve.
Student output
Problem frame, research question or decision brief.
Every stage at a glance
Students begin by identifying the real problem, the user, the stakes and the decision that needs to be made. They learn that powerful AI work does not start with prompting. It starts with judgement.
Students practise
Students produce
A problem brief, research question, decision frame, or opportunity statement.
Students examine real AI use cases, compare tools, study automation patterns, and evaluate trade-offs across speed, accuracy, cost, ethics, and usability.
Students practise
Students produce
A tool map, case analysis, opportunity scan, or AI strategy note.
Students create prototypes, workflows, automations, agents, research systems, interfaces, or creative outputs. They learn to move from idea to artefact with builder discipline.
Students practise
Students produce
A working prototype, automation, AI workflow, agent concept, interface, or research system.
Students test outputs, identify failure points, receive critique, and refine their solution. They learn that serious AI work must survive scrutiny.
Students practise
Students produce
An iteration log, improved prototype, critique response, risk review, or evaluation report.
Students present their final artefact, explain their choices, defend their thinking, and show what they built. The goal is not completion. The goal is confidence under visibility.
Students practise
Students produce
A final demo, pitch, showcase artefact, portfolio piece, or public presentation.
Define the mission before touching the tool.
Students begin by identifying the real problem, the user, the stakes and the decision that needs to be made. They learn that powerful AI work does not start with prompting. It starts with judgement.
Students practise
Students produce
A problem brief, research question, decision frame, or opportunity statement.
Edison is the only AI academy that has published the research behind its curriculum. Every module is sequenced against evidence, not opinion.
Read the research paper →Use AI tools casually. Prompt, summarise, edit.
Design workflows, prototypes, agents. Ship original output.
Direct AI strategically. Product thinking, ethics, defence.
Foundations · Builders · Innovators, sequenced across the full spectrum.
Most bootcamps and workshops cover literacy only, leaving the engineering and leadership layers unfilled.
Tap any program to expand a quick overview, or open the full course page.
Generalist AI Bootcamp
AI Hypergeneralist
AI Agentic Specialist
AI Associate Architect
AI Young Systems Thinker
AI Young Leader
Tell us your child's age, current AI experience, and primary goal. We will recommend the right program and the next available cohort.
13–15 → Tinkerers · 15–18 → Builders · 16–22 → Architect
None or some → start with Bootcamp or Tinkerers
Fluency · Portfolio · Founder skills · University signal
