Healthcare AI Learning
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Courses by capability level
Every course is designed to produce an observable capability gain — something you can do afterwards, not only something you know.
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Technical specialist — Engineering depth · 1 module available · Healthcare Data & FHIR for AI
Foundation
Understand AI in healthcare
Build the literacy to understand what AI is, where it creates value and how to judge basic claims. Start here.
AI in Healthcare Essentials
Recommended starting point
Foundation literacy course
Understand the main types of healthcare AI, where they create value and how to assess their limitations.
Practitioner
Apply and implement AI
Select use cases, evaluate solutions and lead AI implementation in healthcare — without writing code.
AI in Healthcare
Comprehensive practitioner course
Identify valuable AI use cases, evaluate solutions and make better implementation decisions.
Agentic AI in Healthcare
Specialist course on agents and autonomous workflows
Understand agents, autonomy and safe delegation in healthcare workflows.
EU Regulatory Readiness for Health AI Vendors
EU Medical Device Regulation (MDR), Medical Device Software & EU AI Act — vendor track
Document a reviewable regulatory starting point end to end: product boundary, intended purpose, qualification assessment, preliminary classification position, conformity strategy, evidence plan, AI Act overlay and lifecycle plan.
Builder
Build AI applications and agents
Create working AI workflows, applications and agents. Hands-on labs: requests, schemas, retrieval, tools and evaluation.
Building GenAI Applications in Healthcare
Hands-on builder labs
Build, ground and evaluate a bounded healthcare GenAI feature from end to end.
Technical specialist
Engineer healthcare AI systems
Work with healthcare data, APIs, FHIR, Python and machine learning. Optional — most roles never need this level.
Healthcare Data & FHIR for AI
Technical data interoperability
Query FHIR resources and prepare healthcare data for use in AI systems.
Clinical Machine Learning with Python
Technical modelling with Python
Specify, build, test and challenge a clinical prediction model in Python.