Production-oriented learning track for healthcare agentic AI across workflow orchestration, tool use, FHIR grounding, cloud architectures, reliability engineering, and Australian governance.
Frame agentic AI around bounded healthcare jobs, approval boundaries, and failure modes before choosing tools or models.
Design planners, tool contracts, session state, and approval-aware orchestration for healthcare agents.
Ground healthcare agents in FHIR APIs, SMART authorization, structured patient context, and cited retrieval.
Use bounded agent workflows for prior authorization, inbox triage, scheduling, and denial management.
Apply agentic AI to surveillance, triage, and clinician-facing draft support without removing human clinical authority.
Map Bedrock AgentCore, supervisor agents, workflow assistants, EKS hosting, and healthcare extraction services into production flows on AWS.
Use Agent Builder, Agent Engine, Cloud Healthcare API, and de-identification controls on Google Cloud.
Engineer evaluation, observability, human review, and rollback so healthcare agents stay auditable and safe.
Apply Privacy Act, OAIC, TGA, AHPRA, and My Health Record constraints to healthcare agent deployments.
Validate your knowledge across foundations, tooling, FHIR grounding, cloud stacks, reliability, and Australian governance.