AI Engineering
You will build, instrument, govern, and demo an agent that does one useful job inside a healthcare workflow — and you will be able to prove, from logs, exactly what it did and what stopped it.
13 lessons · 8.5 hours
Who it's for. Engineers and physician-builders who have already shipped one evaluated language-model application and now need systems that take actions: reading from an EHR sandbox, drafting a prior-authorisation packet, working an inbox queue, moving a scheduling task forward. It suits an informatics engineer, a startup technical founder, and a research-operations lead automating a real pipeline. Leaders who will commission rather than build this belong in the Lead lane; the governance content here is shared with them by design.
The capstone. A deployed healthcare agent that completes one real administrative or clinical-adjacent task behind human approval gates — with a trajectory evaluation, a full audit trail, a governance checklist, kill criteria, and a live demo to the cohort.
Lessons open with membership. Join the network to work through this course at your own pace, keep your progress, and earn a certificate of completion when you finish.
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