WEEK 1 · FOUNDATION
The AI Healthcare Revolution & the AI Literacy Gap Crisis™
What does a healthcare professional need to understand before trusting an intelligent system?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 2 · FOUNDATION
How Modern AI Actually Works: LLMs, Transformers, Tokens, Embeddings, Training & Inference
If AI influences a clinical answer, what must a clinician understand about how that answer was produced?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 3 · FOUNDATION
Foundation Models, RAG, Multimodal AI & Clinical Agents
How do we control what information an AI system can use and what actions it is allowed to take?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 4 · CLINICAL SAFETY
Clinical AI Decision Intelligence: Prediction, Diagnosis, Triage & Treatment
When AI influences a clinical decision, where should AI authority end and professional judgment begin?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 5 · VALIDATE
Data Quality, Bias, Fairness & Generalizability
Can a model be “accurate” overall while creating unacceptable harm for a subgroup?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 6 · VALIDATE
Quantitative Clinical AI Validation: From Confusion Matrix to Calibration
What evidence is strong enough to authorize a clinical AI system for a specific population, setting and use?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 7 · EVALUATE
Dataset Shift, Model Drift & Continuous Clinical AI Monitoring
What evidence proves the AI still performs safely after months or years of real use?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 8 · FAILURE SCIENCE
The New AI Failure Science™: FMEA, Failure Propagation & Simulation
How do we prevent small failures across data, model, workflow and humans from becoming patient harm?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 9 · HUMAN FACTORS
Human Factors in Clinical AI: Automation Bias, Alert Fatigue, Trust & HITL
When does human oversight become symbolic rather than effective?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 10 · LAW / LIABILITY
AI Medical Malpractice, Liability & Defensible Documentation
If harm occurs after AI influenced care, can the organization reconstruct and defend the decision pathway?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 11 · ETHICS / RIGHTS
Algorithmic Informed Consent™, Patient Rights, Ethics & Transparency
When is AI involvement material enough that patients should be informed, given choices or offered human review?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 12 · CYBER / PRIVACY
AI Privacy, Cybersecurity, Adversarial Risk & Data Leakage
Can a clinically accurate AI system remain safe if its data, prompts, tools or permissions are compromised?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 13 · REGULATION / QUALITY
Clinical AI Regulation, Quality Systems & Change Control
When does a change in AI behavior, intended use or evidence require new regulatory/quality review?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 14 · GOVERNANCE
Enterprise AI Governance, Board Oversight & Decision Authority
Who can approve, condition, pause or retire enterprise clinical AI — and who is accountable?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 15 · VENDOR RISK
Vendor Due Diligence, Contracting, Procurement & Third-Party AI Risk
What must an organization independently verify before trusting a third-party AI vendor?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 16 · IMPLEMENT
Implementation Science, Workflow Integration, Change Management & Adoption
How do we move from a technically promising model to safe, usable and sustainable clinical practice?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 17 · RISK TRANSFER
Insurance, Risk Transfer, Financial Risk & Risk-Adjusted ROI
How should organizations price, finance, insure and transfer the residual risk of clinical AI?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 18 · INCIDENT COMMAND
AI Incident Response, Root-Cause Analysis & Crisis Command
What must happen in the first minutes and hours after a serious AI safety event?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 19 · EXECUTIVE CONTROL
Enterprise AI Command Center™, Portfolio Governance & Agentic Strategy
How does an enterprise govern dozens of models, vendors and agents as one risk portfolio?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
WEEK 20 · SAFETY CASE
Clinical AI Safety Case™: Capstone Integration, Unseen Case & Defense Preparation
Can the learner defend an evidence-based decision to approve, condition, pilot, pause, reject or retire a clinical AI system?
Non-video learner package: teaching notes, verified readings, case, lab, applied exercise, implementation/capstone, assessment and red-team review.
