6Levels, foundation to expert

32Modules

207Topics with study notes

425Cards

How it works

The diploma is delivered as short, repeatable sessions rather than long lectures. Each lesson serves up to ten cards, ordered overdue first, then unseen, then scheduled. You grade your own recall, or answer multiple choice, and the algorithm decides when to show the card again.

Spaced repetition (SM-2). A card you fail resets its interval and lowers its ease. A card you find easy moves out to a longer interval. Over weeks this concentrates your time on the material you have not yet learned, which is the whole point — reviewing what you already know is the most common way to waste study time.

Progress and streaks. Ten XP per correct card, three for a lapse, multiplied at seven- and thirty-day streaks. A module awards its bonus only once every card in it has been studied, so you cannot skim to completion. Streaks advance on the first card graded each day, not on signing in.

Nothing to install, no account. Progress is stored in your own browser. There is no sign-up, no server holding your data, and no cost to start.

Who it is for

Pathologists meeting diagnostic AI for the first time and wanting structure rather than conference talks
Trainees who need the vocabulary and the methodology before they can read the literature critically
Laboratory leads assessing vendor claims, validation plans and regulatory status
Researchers moving into computational pathology from a diagnostic background

Certificates from this course state completion, not professional certification, and the course is not a licence to practise or to deploy any clinical tool. Validate any algorithm against your own laboratory's quality system and current regulatory position.

Level 1 · 5 modules

Foundation

Master the fundamentals of AI and pathology

Start level 1

Module 1

Introduction to AI

History of AI, machine learning, deep learning, generative AI, computer vision, common terminology, limitations and opportunities in pathology.

Topics covered

History of AIMachine LearningDeep LearningGenerative AIComputer VisionClinical use casesLimitationsOpportunities

15 min · 8 topics · 50 XP

Module 2

Fundamentals of Pathology

Histopathology, cytopathology, molecular pathology, laboratory workflow, quality systems, diagnostic decision making.

Topics covered

HistopathologyCytopathologyMolecular pathologyLaboratory workflowQuality systemsDiagnostic decision making

15 min · 6 topics · 50 XP

Module 3

Digital Pathology Essentials

Whole slide imaging, scanners, image formats, storage, telepathology, validation.

Topics covered

Whole slide imagingScannersImage formatsStorage solutionsTelepathologyValidation

12 min · 6 topics · 50 XP

Module 4

AI Tools

ChatGPT, Claude, Gemini, NotebookLM, MedGemma, literature search tools, presentation tools.

Topics covered

ChatGPTClaudeGeminiNotebookLMMedGemmaLiterature search toolsPresentation tools

15 min · 7 topics · 50 XP

Module 5

AI Productivity

Report drafting, literature summaries, education, meeting notes, prompt engineering basics.

Topics covered

Report draftingLiterature summariesEducationMeeting notesPrompt engineering basics

12 min · 5 topics · 50 XP

Level 2 · 5 modules

Digital Pathology Professional

Build expertise in digital pathology systems and workflows

Start level 2

Module 6

Digital Workflow

LIS, PACS, DICOM, FHIR, interoperability, workflow mapping.

Topics covered

LIS integrationPACS systemsDICOM standardsFHIRInteroperabilityWorkflow mapping

20 min · 6 topics · 60 XP

Module 7

Whole Slide Imaging

Scanner selection, QC, compression, storage, archive management.

Topics covered

Scanner selectionQuality controlCompressionStorageArchive managementPerformance metrics

18 min · 6 topics · 60 XP

Module 8

Informatics

Databases, metadata, security, cloud pathology.

Topics covered

DatabasesMetadata managementSecurityCloud pathologyData governancePrivacy

16 min · 6 topics · 60 XP

Module 9

Image Analysis

Segmentation, cell detection, biomarker quantification, heatmaps.

Topics covered

SegmentationCell detectionBiomarker quantificationHeatmapsStatistical analysisVisualization

17 min · 6 topics · 60 XP

Module 10

QuPath Masterclass

Annotations, scripting, plugins, batch analysis.

Topics covered

QuPath interfaceAnnotationsScriptingPluginsBatch analysisAutomation

20 min · 6 topics · 60 XP

Level 3 · 6 modules

AI Practitioner

Develop technical AI expertise

Start level 3

Module 11

Machine Learning

Classification, regression, clustering, evaluation metrics.

Topics covered

ClassificationRegressionClusteringEvaluation metricsCross-validationModel selection

20 min · 6 topics · 70 XP

Module 12

Deep Learning

CNNs, Vision Transformers, transfer learning.

Topics covered

Convolutional Neural NetworksVision TransformersTransfer learningBackpropagationOptimizationRegularization

22 min · 6 topics · 70 XP

Module 13

Computer Vision

Detection, segmentation, explainable AI.

Topics covered

Object detectionSegmentationInstance segmentationExplainable AIInterpretabilityVisualization

20 min · 6 topics · 70 XP

Module 14

Computational Pathology

Digital biomarkers, spatial pathology, quantitative pathology.

Topics covered

Digital biomarkersSpatial pathologyQuantitative pathologyMorphometryTexture analysisPrognostic models

19 min · 6 topics · 70 XP

Module 15

Foundation Models

UNI, Virchow, Prov-GigaPath, H-optimus, MedGemma, PathChat.

Topics covered

UNI modelVirchowProv-GigaPathH-optimusMedGemmaPathChatFoundation models

18 min · 7 topics · 70 XP

Module 16

Prompt Engineering

Clinical prompts, research prompts, educational prompts.

Topics covered

Clinical promptsResearch promptsEducational promptsPrompt optimizationFew-shot learningChain-of-thought

15 min · 6 topics · 70 XP

Level 4 · 5 modules

Clinical AI Specialist

Master clinical applications of AI

Start level 4

Module 17

AI-assisted Diagnosis

Applications in breast, lung, GI, prostate, neuropathology, dermatopathology, hematopathology, cytopathology.

Topics covered

Breast pathology AILung pathology AIGI pathology AIProstate pathology AINeuropathology AIDermatopathology AIHematopathology AICytopathology AI

25 min · 8 topics · 80 XP

Module 18

Validation

CAP, FDA, CE-IVDR, ISO principles, validation studies.

Topics covered

CAP standardsFDA approvalCE-IVDRISO principlesValidation studiesRegulatory pathwaysClinical trials

22 min · 7 topics · 80 XP

Module 19

Ethics

Bias, privacy, governance, cybersecurity.

Topics covered

Bias in AIPrivacyData governanceCybersecurityEthical frameworksFairnessTransparency

20 min · 7 topics · 80 XP

Module 20

Deployment

Procurement, implementation, ROI, change management.

Topics covered

ProcurementImplementationROI calculationChange managementStaff trainingPerformance metricsWorkflow integration

23 min · 7 topics · 80 XP

Module 21

Quality Assurance

Performance monitoring, auditing, continuous improvement.

Topics covered

Performance monitoringAuditingContinuous improvementQuality metricsError analysisFeedback loopsMaintenance

21 min · 7 topics · 80 XP

Level 5 · 5 modules

Research and Innovation

Advance AI research in pathology

Start level 5

Module 22

AI Research

Dataset creation, annotation, statistics, reproducibility.

Topics covered

Dataset creationAnnotationStatisticsReproducibilityExperimental designSample sizePower analysis

24 min · 7 topics · 90 XP

Module 23

Scientific Writing

Systematic reviews, manuscripts, grants, peer review.

Topics covered

Systematic reviewsManuscript writingGrant writingPeer reviewPublication ethicsImpact metricsDissemination

20 min · 7 topics · 90 XP

Module 24

Molecular AI

Genomics, proteomics, multiomics, spatial biology.

Topics covered

GenomicsProteomicsMultiomicsSpatial biologyIntegrationMachine learningBiomarker discovery

22 min · 7 topics · 90 XP

Module 25

Multimodal AI

Imaging, genomics, clinical data fusion.

Topics covered

Imaging fusionGenomics integrationClinical dataMultimodal learningFeature fusionPrognostic models

21 min · 6 topics · 90 XP

Module 26

Education

Teaching, virtual microscopy, AI tutors, curriculum.

Topics covered

Teaching methodsVirtual microscopyAI tutorsCurriculum designLearning outcomesAssessmentTechnology integration

19 min · 7 topics · 90 XP

Level 6 · 6 modules

Expert

Lead AI innovation in pathology

Start level 6

Module 27

AI Products

Product strategy, UX, commercialization, regulation.

Topics covered

Product strategyUX designCommercializationRegulationMarket analysisCompetitive advantageBusiness models

25 min · 7 topics · 100 XP

Module 28

Leadership

Digital transformation, budgeting, governance.

Topics covered

Digital transformationBudgetingGovernanceOrganizational changeRisk managementStrategic planningStakeholder management

23 min · 7 topics · 100 XP

Module 29

Entrepreneurship

Business models, IP, fundraising, partnerships.

Topics covered

Business modelsIntellectual propertyFundraisingPartnershipsPitchingScalingExits

22 min · 7 topics · 100 XP

Module 30

Future of Pathology

Agentic AI, robotics, digital twins, precision diagnostics.

Topics covered

Agentic AIRoboticsDigital twinsPrecision diagnosticsEmerging technologiesPredictionsRoadmap

20 min · 7 topics · 100 XP

Module 31

Capstone

Real implementation or research project.

Topics covered

Project selectionPlanningImplementationData analysisReportingPresentation

480 min · 6 topics · 200 XP

Module 32

Viva

Portfolio presentation and expert examination.

Topics covered

Portfolio reviewExpert examinationDiscussionCertification

120 min · 4 topics · 300 XP

PathologyAI Academy

How it works

Who it is for

Lecture decks for every module

Six levels, thirty-two modules

Foundation

Introduction to AI

Topics covered

Fundamentals of Pathology

Topics covered

Digital Pathology Essentials

Topics covered

AI Tools

Topics covered

AI Productivity

Topics covered

Digital Pathology Professional

Digital Workflow

Topics covered

Whole Slide Imaging

Topics covered

Informatics

Topics covered

Image Analysis

Topics covered

QuPath Masterclass

Topics covered

AI Practitioner

Machine Learning

Topics covered

Deep Learning

Topics covered

Computer Vision

Topics covered

Computational Pathology

Topics covered

Foundation Models

Topics covered

Prompt Engineering

Topics covered

Clinical AI Specialist

AI-assisted Diagnosis

Topics covered

Validation

Topics covered

Ethics

Topics covered

Deployment

Topics covered

Quality Assurance

Topics covered

Research and Innovation

AI Research

Topics covered

Scientific Writing

Topics covered

Molecular AI

Topics covered

Multimodal AI

Topics covered

Education

Topics covered

Expert

AI Products

Topics covered

Leadership

Topics covered

Entrepreneurship

Topics covered

Future of Pathology

Topics covered

Capstone

Topics covered

Viva

Topics covered

Begin at Level 1 today