Registration for the first cohort is open. Limited seats. A Practical Program on AI in Healthcare for doctors, live on 7 and 8 November. Reserve a seat

Two clinicians walk away down a sunlit hospital corridor in the early morning.
  • For physicians
  • Executives
  • Researchers
  • 11 courses

Clinical AI needs physicians in the decision.

Courses, a sourced library and live sessions, plus the network of people deploying AI alongside you.

The tools our courses and cohort use

  • Claude
  • ChatGPT
  • Gemini
  • Llama
  • Python
  • scikit-learn
  • HL7 FHIR

Why physicians

EnthusiasmEvidenceThe gapjudgment is needed here →Time since the demo →Amount →
Figure 1 — Enthusiasm and evidence, over time since the demo. The gap is where judgment is needed.
  • 1,430AI-enabled medical devices on the FDA list through 2025. Our tracker

Judgment belongs with the people who know the patient.

No one deploys clinical AI alone

The AIMOCS network is where the three professions work it out together.

Overhead view of clinicians' hands annotating printed charts and a tablet on a shared table.
The physicianThe researcherThe executiveThe network(this is the whole product)Deployed. Governed. Used.
  • The physicianknows the patient

  • The researcherknows where the model fails

  • The executiveowns the budget and the risk

Figure 4 — Three professions, one deployment.

What is here

Courses

11 courses, 137 lessons, each ending in a hands-on exercise.

Browse the courses
The brochureyour ward is hereFPR →TPR →

Library

112 sourced pieces on evaluating and running clinical AI.

Open the library

Live

A cohort that works through the material together, and events with the people building it.

See events

Live cohort

A Practical Program on AI in Healthcare

Two live days for doctors, from how machine learning works to building your own AI agents.

For doctors · Live online

Saturday 7 and Sunday 8 November 2026

10 live hours · recorded · certificate of completion

Worth watching

The AI Revolution in Medicine with Dr. Isaac Kohane of Harvard Medical SchoolCognitive Revolution, YouTubeWatch on YouTube
The Impact of GPT-4 in Medicine: Ground Truths Podcast with Eric Topol and Peter LeeScripps Research, YouTubeWatch on YouTube
[1hr Talk] Intro to Large Language ModelsAndrej Karpathy, YouTubeWatch on YouTube

Programs people compare us with

  • Harvard
  • Stanford
  • Johns Hopkins

Named for comparison only. AIMOCS is not affiliated with, endorsed by, or sponsored by these institutions.

A certificate ends. The network continues.

  • AIMOCS

    What continues after
    The member community, live events and replays, and the research briefing
    What you build
    A hands-on exercise in every one of 129 lessons, across ten courses
    Generative + agentic AI
    Core to two of four tracks: LLMs end to end, agentic AI engineering, scribes, golden-set evals, MCP, EHR agents, and governance. A separate course covers working with Claude
  • Johns Hopkins

    What continues after
    Program ends at certificate [1]
    What you build
    Guided projects + masterclass build [1]
    Generative + agentic AI
    Curriculum runs from LLMs to goal-directed agentic AI, plus an n8n masterclass [1]
  • Harvard

    What continues after
    Program ends at certificate; alumni events vary [2]
    What you build
    Demonstrations only [2]
    Generative + agentic AI
    Curriculum covers generative AI; hands-on sessions are demonstrations [2]
  • Stanford

    What continues after
    Program ends at certificate [3]
    What you build
    Recorded exercises + capstone [3]
    Generative + agentic AI
    No agentic-AI module in the published syllabus; core CME content released Aug 2023 [3][4]
  1. Johns Hopkins: AI in Healthcare Certificate Program
  2. Harvard Medical School: “AI in Clinical Medicine”
  3. Stanford: AI in Healthcare Specialization (Coursera)
  4. Stanford: Fundamental Machine Learning for Healthcare (CME first released 10 Aug 2023; renewed through 9 Aug 2029, as rechecked 9 Sep 2026)

The full comparison

Bring your judgment to the network.

Post a case, take a course, or join a live session with the people deploying the same tools.

Join the network

Get the briefing

One study in healthcare AI, read closely, when it publishes.

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