For leaders, doctors, and researchers

Leading AI in healthcare.

Four tracks — whether you build the systems or lead how they are used. Practical, reviewed every quarter, and taught with the people doing this work in real health systems.

Apply to joinFollow the weekly briefing — free

01The shift

AI reached everyday care faster than anyone taught it.

81%

of US physicians now use AI in their work — up from 38% in 2023.AMA Physician Survey on Augmented Intelligence, 2026
“The greatest opportunity offered by AI is … the opportunity to restore the human touch — between patients and doctors.”

Eric Topol, MD — cardiologist & author

02The community

Clinicians and health leaders, studying AI together.

Clinicians who understand AI, and builders who understand care — global, in English, one standard of rigor.

Who it’s for

Attending physiciansNurse leadersClinical informaticistsResearchersHealth-tech foundersHealth-system executives

03Membership

One membership, all of it.

What membership includes

  1. Four course tracks, sixteen artifacts.

    AI Engineering, Clinical Machine Learning, Healthcare AI Leadership, Health Tech Founder — every module ends with something you build: a plain-language AI explainer for your department, a vendor appraisal your committee can act on, a golden-set eval you run against two frontier models, a capstone pilot proposal you present live. Curriculum v2026.Q3, reviewed quarterly.

  2. The research briefing.

    One paper at a time: what changed, what it means for your work, and where the evidence is thin. Free — it’s how most members meet us.

  3. Conversations with the people doing the work.

    Sessions with the authors of the papers we cover and the leaders deploying AI in health systems — ask them directly.

  4. The case-study library.

    What actually happened when health systems deployed — scribes, prediction models, EHR agents — with the numbers and the failure modes kept in.

  5. Colleagues worth comparing notes with.

    Clinicians, informaticists, operators, and builders working the same problems — discussion that starts from the week’s briefing and the case studies, and doesn’t end when a course does.

  6. Member pricing on courses.

    Members enrol in any track at member pricing; courses are also open individually.

The courses are where you start. The briefing, the conversations, and the community are how you stay current.

The briefing is free for anyone — start there. Everything membership includes →

04The curriculum

Two lanes, four tracks — every course stands alone.

Build — you write the codeLead — you direct the people who do

BUILDLEADTHE TRACK SEALAI Engineeringa deployed healthcare agentClinical Machine Learninga validated clinical modelHealthcare AI Leadershipa governed pilot proposalHealth Tech Founderan MVP and its pitchBUILDAI Engineeringa deployed healthcare agentBUILDClinical Machine Learninga validated clinical modelLEADHealthcare AI Leadershipa governed pilot proposalBUILD + LEADHealth Tech Founderan MVP and its pitchTHE TRACK SEAL

Core courses come with membership; each track ends in work you can show — and its seal.

See the full curriculum →

05How it compares

Current by design, not by release date.

How this compares to the programmes at Johns Hopkins, Harvard, and Stanford. See the full comparison →

Published programme details, checked 25 July 2026. Programmes change — each cell links to its source below.
FeatureAIMOCSJohns HopkinsHarvardStanford
Last content reviewv2026.Q3 · reviewed quarterly (public log)Cohort of 22 Aug 2026 [1]Runs as a live 3-day programme [2]CME release 10 Aug 2023, expires 10 Aug 2026 [3a][3b]
Generative + agentic AICore to two of four tracks: LLMs end-to-end, agentic AI engineering, scribes, golden-set evals, MCP, EHR agents, governanceOne self-paced “Claude-Based AI Workflows” module (~5 h) incl. MCP, plus an n8n masterclass [1]Curriculum covers generative AI; hands-on sessions are demonstrations [2]One 2-hour generative AI module, labelled “Optional Content” [3c]
What you buildOne artifact per module — 16 total, from a department AI explainer to a capstone pilot proposalGuided projects + masterclass build [1]Demonstrations only [2]Recorded exercises + capstone [3]
What continues afterResearch briefing, author conversations, case-study library, quarterly curriculum refreshProgramme ends at certificate [1]Programme ends at certificate; alumni events vary [2]Programme ends at certificate [3]
Accredited CME/CEU— (in progress)6 CEUs [1]27.00 AMA PRA Category 1 Credits + MOC points [2]AMA PRA Category 1 (within accreditation window) [3a]

Where these programmes are ahead of us: Harvard’s carries 27 AMA PRA Category 1 Credits and MOC points — ours carries none yet, and accreditation is in progress. If accredited credit is what you need this year, theirs earns it. We built AIMOCS for what those programmes leave open: staying current after the recording, and leaving every module with something your organization can use.

06Admission

Apply once — we take it from there.

iApplyA short application —minutes, not essays.iiAcceptedReviewed in the order received;member referrals move up.iiiInvestTerms arrive with your decision —nothing is paid before acceptance.THE SCHOLARSHIP ROUTEstudents apply with a short videoTHE FOUNDING HUNDREDthe founding rate, held for lifeiApplyA short application —minutes, not essays.iiAcceptedReviewed in the order received;member referrals move up.iiiInvestTerms arrive with your decision —nothing is paid before acceptance.THE SCHOLARSHIP ROUTEstudents apply with a short videoTHE FOUNDING HUNDREDthe founding rate, held for life

Every wave of members funds scholarship seats.

How scholarships work →

The library

Everything we publish stays open to read.

When you’re ready

The next decade of healthcare will be built with AI. Learn to build it.

Apply to join

Or start with the free weekly briefing.