Courses, masterclasses, workshops and certificate programmes — most included with membership.
Course materials · members
All 32 module decks, 3,200 slides, matching the six levels of the diploma curriculum. Editable PowerPoint, yours to teach from — included with membership.
Published curriculum: DOCX — detailed syllabus, outcomes and assessment structure
32 modules
Level 1 · Module 1
History of AI, machine learning, deep learning, generative AI, computer vision, common terminology, limitations and opportunities in pathology.
Level 1 · Module 2
Histopathology, cytopathology, molecular pathology, laboratory workflow, quality systems, diagnostic decision making.
Level 1 · Module 3
Whole slide imaging, scanners, image formats, storage, telepathology, validation.
Level 1 · Module 4
ChatGPT, Claude, Gemini, NotebookLM, MedGemma, literature search tools, presentation tools.
Level 1 · Module 5
Report drafting, literature summaries, education, meeting notes, prompt engineering basics.
Level 2 · Module 6
LIS, PACS, DICOM, FHIR, interoperability, workflow mapping.
Level 2 · Module 7
Scanner selection, QC, compression, storage, archive management.
Level 2 · Module 8
Databases, metadata, security, cloud pathology.
Level 2 · Module 9
Segmentation, cell detection, biomarker quantification, heatmaps.
Level 2 · Module 10
Annotations, scripting, plugins, batch analysis.
Level 3 · Module 11
Classification, regression, clustering, evaluation metrics.
Level 3 · Module 12
CNNs, Vision Transformers, transfer learning.
Level 3 · Module 13
Detection, segmentation, explainable AI.
Level 3 · Module 14
Digital biomarkers, spatial pathology, quantitative pathology.
Level 3 · Module 15
UNI, Virchow, Prov-GigaPath, H-optimus, MedGemma, PathChat.
Level 3 · Module 16
Clinical prompts, research prompts, educational prompts.
Level 4 · Module 17
Applications in breast, lung, GI, prostate, neuropathology, dermatopathology, hematopathology, cytopathology.
Level 4 · Module 18
CAP, FDA, CE-IVDR, ISO principles, validation studies.
Level 4 · Module 19
Bias, privacy, governance, cybersecurity.
Level 4 · Module 20
Procurement, implementation, ROI, change management.
Level 4 · Module 21
Performance monitoring, auditing, continuous improvement.
Level 5 · Module 22
Dataset creation, annotation, statistics, reproducibility.
Level 5 · Module 23
Systematic reviews, manuscripts, grants, peer review.
Level 5 · Module 24
Genomics, proteomics, multiomics, spatial biology.
Level 5 · Module 25
Imaging, genomics, clinical data fusion.
Level 5 · Module 26
Teaching, virtual microscopy, AI tutors, curriculum.
Level 6 · Module 27
Product strategy, UX, commercialization, regulation.
Level 6 · Module 28
Digital transformation, budgeting, governance.
Level 6 · Module 29
Business models, IP, fundraising, partnerships.
Level 6 · Module 30
Agentic AI, robotics, digital twins, precision diagnostics.
Level 6 · Module 31
Real implementation or research project.
Level 6 · Module 32
Portfolio presentation and expert examination.
Accredited courses
Longer-form courses that sit alongside the deck library, each ending in a certificate. Included with membership.
Dr Lina Berg · 14 hours · Beginner
Dr Rania Al Mansoori · 10 hours · Beginner
Prof. Adaeze Okonkwo · 18 hours · Intermediate
Dr Hiro Yamada · 24 hours · Advanced
GPP Education Faculty · 8 hours · Intermediate
GPP AI Working Group · 6 hours · Intermediate
GPP Editorial Office · 12 hours · Beginner
Conor Byrne · 16 hours · Intermediate
GPP Regulatory Desk · 9 hours · Beginner