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 Duration 14 hours

Course Outline

Agentic AI Foundations for Healthcare

  • Distinguishing agentic systems from simple tool-based LLM applications.
  • Defining autonomy limits, policies, and the role of human supervision.
  • Navigating the healthcare data environment and constraints (EHR, FHIR, PHI).

Crafting Agent Workflows

  • Integrating planning, memory, tool usage, and iterative reflection loops.
  • Advanced prompt engineering, function calling, and decision-making mechanisms.
  • Managing state and orchestration patterns for complex tasks.

Retrieval-Augmented Agents

  • Processing and segmenting medical documentation.
  • Utilizing embeddings, vector databases, and assessing relevance.
  • Anchoring responses in source material and developing citation methods.

Healthcare Integration and Interoperability

  • Essential FHIR/SMART concepts for connecting agents to health systems.
  • Managing structured and unstructured clinical data streams.
  • Implementing event handling, API integrations, and maintaining audit logs.

Safety, Risk Management, and Governance

  • Establishing guardrails, conducting red-team exercises, and designing fail-safes.
  • Handling PHI, implementing de-identification, and enforcing access controls.
  • Implementing human-in-the-loop review processes and escalation protocols.

Assessment and Monitoring

  • Conducting offline tests, defining golden sets, and establishing KPIs.
  • Detecting hallucinations and verifying factual accuracy.
  • Enhancing observability, logging, and managing cost and latency.

Deployment Strategies and Practical Lab

  • Choosing between API-based and on-premises model deployment.
  • Developing a retrieval-augmented agent using LangChain, FastAPI, and ChromaDB.
  • Simulating incident response and executing rollback procedures.

Recap and Future Directions

Requirements

  • Proficiency in fundamental Python programming.
  • Practical experience with data analysis or machine learning pipelines.
  • Knowledge of healthcare data frameworks (e.g., EHR, FHIR).

Target Audience

  • Data scientists and ML engineers in the healthcare sector.
  • Teams involved in clinical informatics and digital health product development.
  • IT leaders and innovation managers operating within healthcare organizations.

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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