Self-paced courses on AI in healthcare, in four tracks: 11 courses, each built from short written lessons with diagrams and a hands-on exercise. Lessons are part of membership in the AIMOCS network.
You will go from never having programmed to writing and running small Python scripts on a table of clinical data, ready for day 1 of Python to agents and for Programming Foundations.
You will build and publish a reproducible clinical analysis repository that a stranger can clone, run, and trust.
You will take one language-model use case from "someone suggested it in a meeting" to a running, evaluated, cost-modelled, documented system that you can defend in front of a governance committee.
You will build, instrument, govern, and demo an agent that does one useful job inside a healthcare workflow.
Members work through any course at their own pace, keep their progress, and earn a certificate of completion for each course they finish.
Join the networkBy the end of this course you can walk any audience — a board, a department meeting, a conference panel — through what AI in healthcare actually is, where it already runs in your organization, what the rules require this quarter, and what the evidence does and does not license you to claim.
By the end of this course you can take one real workflow in a healthcare organization, find where AI genuinely removes cost or delay, prove who pays and who is protected, and present an operational case a CFO and a CMO will both sign.
By the end of this course you can take an organization from "we should do something about AI" to a governed, board-ready pilot proposal.
By the end of this course, Claude and Claude Code are part of how you work every day: you can specify a task precisely, keep patient data out of it structurally, ship a working automation for a real healthcare workflow, and prove.
By the end of this course you have a deployed, working health-tech MVP built with Claude Code, evidence that identified buyers want it, a regulatory and reimbursement position you can state in two sentences each, and a pitch that survives an audience of clinicians.