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Seven tiers. One standard.

Every tier is taught directly by the founder unless otherwise stated, in small numbers, with work held to the standard of scientific review: clean data, honest validation, reproducible code, and writing that withstands scrutiny.

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An ascent, and two fixed points.

I II III IV V Polaris Deep Field

Five tiers — First Light through Event Horizon — form a single ascent across ages six to thirty: the same standard, carried to increasing depth. Two more are not steps on that ladder. Polaris is a fixed point: the star used for navigation, for those who must make ongoing judgment calls about AI. Deep Field is a long exposure: sustained, advisory work for those going deep on a single problem.

I – V · The Ascent

For students, ages 6 to 30.

First Light

prima lux

Ages 6–11 · Live online · Term-based

From $2,000+ USD

A child's first encounter with computation, taught the way a scientist meets a new instrument — with wonder and with care.

  • Computational thinking through play
  • What a machine can and cannot know
  • First creative coding projects

Outcome: a curious, confident beginner with honest intuitions about technology.

Begin Your Inquiry →

Rising Star

stella ascendens

Ages 11–14 · Live online · Term-based

From $2,500+ USD

Python, data, and the first real habits of evidence: test it, plot it, question it.

  • Python from first principles
  • Working with real datasets
  • How AI systems actually behave

Outcome: a working programmer who can explain — and defend — what their code does.

Begin Your Inquiry →

Meridian

meridianus

Ages 14–18 · Live online · Multi-term

From $3,500+ USD

The high-noon tier: machine learning fundamentals carried into a substantial portfolio project, mentored one-to-one.

  • ML foundations & honest baselines
  • A defensible original project
  • Technical writing & presentation

Outcome: portfolio-grade work the student can explain line by line.

Begin Your Inquiry →

Parallax

parallaxis

Ages 18–24 · Live online · By engagement

From $4,500+ USD

Seeing the same problem from more than one vantage: statistics, models, and inference at university depth.

  • High-dimensional inference
  • Model evaluation beyond accuracy
  • Research-grade tooling & reproducibility

Outcome: the working habits of a junior researcher, not a course-completer.

Begin Your Inquiry →

Event Horizon

horizon eventuum

Ages 22–30 · Live online · By engagement

From $5,500+ USD

For early-career scientists and engineers approaching the point where their work must hold under review.

  • Advanced ML & signal detection methods
  • Designing experiments that can fail honestly
  • Scientific software engineering

Outcome: work and methods prepared to withstand expert scrutiny.

Begin Your Inquiry →

VI – VII · Fixed Points

For professionals, organizations & researchers.

Polaris

stella polaris

Professionals & organizations · Flexible format

From $4,000+ USD · organizational by quote

A fixed point for people accountable for real decisions: what AI can do, where it fails, and how to judge claims about it.

  • AI literacy for decision-makers
  • Evaluating vendors, models & claims
  • Responsible adoption & team training

Outcome: judgment that does not depend on the loudest voice in the room.

Begin Your Inquiry →

Deep Field

campus profundus

Senior academics & researchers · Advisory

From $6,000+ USD · advisory by quote

The long exposure: methodological advisory and collaboration for researchers bringing modern AI into their field.

  • Methodology & study design review
  • ML integration into domain research
  • Reproducibility & validation audits

Outcome: methods you can defend to your own peer reviewers.

Begin Your Inquiry →

Not sure which tier fits?

That is what the consultation is for. We place students and professionals by readiness — not by age or title alone — and we will tell you honestly if we are not the right fit. Investment is confirmed after a consultation, once scope and goals are clear.

Book Your Free Consultation →

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