A pathway for every stage of AI ambition.
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.
The same five-mode cycle, repeated at increasing depth.
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.
Tinkerers · Builders · Architects — same cycle, deeper each time.
Inquiry
Frame questions worth pursuing before reaching for any tool.
- ·Problem framing and research design
- ·Prompt architecture and question quality
- ·Source evaluation and bias awareness
- ·Distinguishing signal from noise in AI outputs
Students develop research fluency, source evaluation, and the judgment to distinguish signal from noise. Foundations: Socratic method, problem-based learning, backward design.
Frame questions worth pursuing before reaching for any tool.
- ·Problem framing and research design
- ·Prompt architecture and question quality
- ·Source evaluation and bias awareness
- ·Distinguishing signal from noise in AI outputs
Students develop research fluency, source evaluation, and the judgment to distinguish signal from noise. Foundations: Socratic method, problem-based learning, backward design.
The cycle repeats at increasing depth. Tinkerers complete short cycles with scaffolded support. Builders complete medium cycles with growing autonomy. Systems Architects complete extended cycles culminating in capstone exhibition.
Woven through every mode: metacognition, collaboration, ethical reasoning, and continuous communication.
Drawn from 1,000+ job descriptions, 30+ global courses, and peer-reviewed cognitive-science research.
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 →Most providers stop at literacy. Edison covers the full spectrum.
AI Literacy
Use AI tools casually. Prompt, summarise, edit.
AI Engineering
Design workflows, prototypes, agents. Ship original output.
AI Leadership
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.
Compare every Edison program.
Tinker Bootcamp
- Ages
- 13–18
- Duration
- 4 or 8 weeks
- Cadence
- 2–2.5 hours per week
- Cohort
- 12–16 students
- Builds toward
- A complete project in a compressed format
AI Generalist
- Ages
- 13–22
- Duration
- 38 weeks
- Cadence
- 2 hours per week + assignments
- Cohort
- 10–14 students
- Builds toward
- AI fluency and a defendable portfolio piece
AI Hypergeneralist
- Ages
- 14–22
- Duration
- 32 weeks
- Cadence
- 2 hours per week + homework
- Cohort
- 8–12 students
- Builds toward
- Portfolio-worthy multimodal AI project
AI Associate Architect
- Ages
- 16–22
- Duration
- 30 weeks
- Cadence
- 2 hours per week
- Cohort
- 6–10 students
- Builds toward
- Shipped AI system with technical defence
AI Young Systems Thinker
- Ages
- 15–22
- Duration
- 30 weeks
- Cadence
- 2 hours per week
- Cohort
- 8–12 students
- Builds toward
- Research-grade systems brief
AI Young Leader
- Ages
- 16–22
- Duration
- 10 weeks
- Cadence
- 3 hours per week
- Cohort
- 6–10 students
- Builds toward
- Public-facing leadership project
Not sure where your child should start?
Tell us your child's age, current AI experience, and primary goal. We will recommend the right program and the next available cohort.
- Age
13–15 → Tinkerers · 15–18 → Builders · 16–22 → Architect
- Prior AI experience
None or some → start with Bootcamp or Tinkerers
- Primary goal
Fluency · Portfolio · Founder skills · University signal