Editorial picks
Starting points for common goals. Each one is an editorial selection, shown with the criteria it was chosen on. They are suggestions, not rankings: the rest of each track is just as carefully checked.
Best for: Complete beginners
Editorial selectionYUVA AI for ALL (IndiaAI)
Criteria: Free, 4.5 h, no prerequisites, government certificate, current (Nov 2025), Indian examples
Best for: Clinicians, no code
Editorial selectionGoogle Skills Generative AI for Healthcare then AMA ChangeMedEd series
Criteria: Free, healthcare-specific, ~1 h plus short modules, prompting plus foundations; AMA adds CME
Best for: CME-bearing depth
Editorial selectionStanford AI in Healthcare (Evaluations 9.50 + Capstone 11.00 AMA PRA Cat 1)
Criteria: Accredited CME, clinician-designed, free audit
Best for: Researchers
Editorial selectionTRIPOD+AI + PROBAST+AI + STARD-AI, then Harvard AIM II syllabus
Criteria: Primary standards, current (2024–2025), directly used by journals
- TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods #190
- PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods #191
- The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence #192
- AI in Medicine II (BMIF 203 / BMI 702), Spring 2026 #73
Best for: Coding (clinical ML)
Editorial selectionDeepLearning.AI AI for Medicine then MIT 6.7930 materials
Criteria: Real medical tasks (CXR, MRI segmentation, survival), graded labs; MIT for depth
Best for: Evaluation / appraisal
Editorial selectionStanford "Evaluations of AI Applications in Healthcare" + JHU/Byrne if a date reopens
Criteria: Evaluation-specific, CME, RCT-level rigour
Best for: Agents / RAG
Editorial selectionDeepLearning.AI A2A (healthcare build) + Hugging Face Agents & MCP
Criteria: Current protocols, free or low cost, certificates (HF), healthcare scenario (DLAI)
Best for: Medical imaging
Editorial selectionMONAI tutorials (+ RSNA Imaging AI Certificate for radiologists)
Criteria: Open-source industry standard, Colab-runnable; RSNA is radiology-specific and case-based
Not in the resource list yet: RSNA Imaging AI Certificate.
Best for: Regulation
Editorial selectionFDA PCCP (Aug 2025) + CDS (29 Jan 2026) + CDSCO MDSW (2026)
Criteria: Primary sources, current, cover US and India
Best free resource
Editorial selectionHugging Face Agents Course (technical) / Google GenAI for Healthcare (clinical)
Criteria: Zero cost, certificates, current
Best for: University-level
Editorial selectionMIT 6.7930/HST.956
Criteria: Graduate rigour, clinical data, fairness and causality
Best for: Project-based
Editorial selectionHMS Strategies to Implementation (capstone pitch; US$3,150) or, free, Stanford Capstone
Criteria: Project across the whole course
Best for: India
Editorial selectionNPTEL AI for Clinicians (IIT Madras) for depth-for-free; IIT Delhi CEP for a cohort with live teaching
Criteria: Indian faculty, free vs structured paid, 2026 runs