Updated March 2026

AI Healthcare Courses

Curated courses from the world's top universities and platforms — Stanford, Harvard, MIT, Google, and DeepLearning.AI. Free to audit, learn at your own pace.

📚 50 courses listed 🆓 33 free to audit 🏫 8 platforms covered 🔄 Updated monthly
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50 courses shown

Coursera ⭐ Most Popular

Stanford University

AI in Healthcare Specialization

Covers current and future applications of AI in healthcare with the goal of learning to bring AI technologies into the clinic safely and ethically. Designed for both healthcare providers and computer science professionals.

Machine LearningClinical DataAI EthicsEHR Analysis
Beginner ⏱ 4 months Free to audit
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Coursera 🔬 Hands-On

DeepLearning.AI

AI for Medicine Specialization

Practical experience in applying machine learning to concrete problems in medicine including medical imaging, patient survival estimation, and NLP for medical records.

Medical ImagingCNN ModelsSurvival AnalysisNLP
Intermediate ⏱ 3 months Free to audit
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Udacity 🏆 Certificate

Udacity

AI in Healthcare Nanodegree

Covers deep learning techniques applied to healthcare including medical imaging, EHR data, wearable sensor data, and genomics. Best for professionals with Python and ML experience.

Deep LearningMedical ImagingEHR DataGenomics
Advanced ⏱ 4 months Paid
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MIT 🎓 Executive

MIT Sloan Executive Education

Artificial Intelligence in Health Care

Executive-level program exploring AI applications in healthcare delivery, clinical decision support, and healthcare operations. Designed for leaders driving digital transformation.

Clinical AIHealthcare OperationsExecutive LeadershipDigital Health
Advanced ⏱ 6 weeks Paid
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Harvard 👩‍⚕️ For Leaders

Harvard Medical School

AI in Health Care: From Strategies to Implementation

Equips healthcare leaders with strategies to implement AI responsibly. Covers practical frameworks, case studies, and ethical considerations in clinical settings.

AI StrategyImplementationAI EthicsClinical Leadership
Intermediate ⏱ 8 weeks Paid
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Other 📜 Certificate

Johns Hopkins University

AI in Healthcare Program (Certificate)

Certificate program covering AI fundamentals and applications in clinical settings, electronic health records, and public health decision-making.

AI FundamentalsEHRPublic HealthCertificate
Intermediate ⏱ Self-paced Paid
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Other 🏥 Mayo Clinic

Mayo Clinic Executive Education

AI Foundations for Digital Healthcare Leaders

Designed for healthcare leaders navigating AI adoption. Covers foundational AI concepts and real-world applications in clinical and administrative settings.

AI FoundationsDigital HealthLeadershipClinical Applications
Intermediate ⏱ Self-paced Paid
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Other

University of Illinois Urbana-Champaign

AI in Medicine Certificate

Explores the intersection of AI and medicine, covering machine learning applications in clinical diagnosis, treatment planning, and medical research.

Clinical DiagnosisML in MedicineTreatment PlanningResearch AI
Intermediate ⏱ Self-paced Paid
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edX 🎓 MicroMasters

MGH Institute

AI and Machine Learning in Healthcare MicroMasters

Graduate-level MicroMasters covering AI and ML methods for healthcare, including medical imaging, clinical NLP, and data-driven clinical decision support.

Machine LearningMedical ImagingClinical NLPDecision Support
Advanced ⏱ 12 months Paid
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FutureLearn

University of Manchester

AI for Healthcare (University of Manchester)

Explores how AI is being applied across healthcare from diagnostics and drug discovery to patient monitoring. Ideal for healthcare professionals wanting to understand AI without deep technical knowledge.

AI ApplicationsDiagnosticsDrug DiscoveryPatient Monitoring
Beginner ⏱ 6 weeks Free to audit
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FutureLearn

FutureLearn

AI for Healthcare: Opportunities and Challenges

Examines the opportunities and challenges of deploying AI in healthcare, including data privacy, algorithmic bias, and clinical governance frameworks.

AI OpportunitiesData PrivacyAlgorithmic BiasGovernance
Beginner ⏱ 4 weeks Free to audit
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FutureLearn 🆓 Free

University of Groningen

How Artificial Intelligence Can Support Healthcare

Explore how AI can improve patient care and build your understanding of how to implement AI in health professions. Great starting point for healthcare workers new to AI.

AI BasicsPatient CareImplementationHealth Professions
Beginner ⏱ 3 weeks Free
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FutureLearn

FutureLearn

Artificial Intelligence (AI) for Healthcare

Introduces AI concepts and their practical applications across healthcare domains, suitable for clinicians, administrators, and allied health professionals.

AI ConceptsClinical ApplicationsDigital HealthAllied Health
Beginner ⏱ 4 weeks Free to audit
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Coursera 🆕 New

Google Cloud

Generative AI for Healthcare

Specifically designed for healthcare professionals. Demystifies generative AI and LLMs with health domain use cases, prompt design for clinical scenarios, and hands-on labs.

Generative AILLMsPrompt EngineeringClinical NLP
Beginner ⏱ 2 weeks Free to audit
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Other 🆓 Free

Google / Digital Medicine Society

Generative AI for Healthcare (DiMe)

Covers generative AI fundamentals with a focus on digital medicine applications, regulatory considerations, and responsible use in clinical environments.

Generative AIDigital MedicineRegulationResponsible AI
Beginner ⏱ Self-paced Free
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Coursera

University of Illinois

Deep Learning for Healthcare Specialization

Advanced specialization covering deep learning techniques for clinical data analysis, medical imaging, and predictive modeling in healthcare systems.

Deep LearningMedical ImagingPredictive ModelingClinical Data
Advanced ⏱ 4 months Free to audit
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Coursera ☁️ Cloud

Microsoft

Microsoft Azure AI in Healthcare Professional Certificate

Learn to build and deploy AI solutions on Microsoft Azure tailored to healthcare use cases, including medical data management, computer vision, and NLP for clinical records.

Azure AICloud HealthcareComputer VisionClinical NLP
Intermediate ⏱ 3 months Free to audit
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Coursera

Illinois Tech

Digital Healthcare Informatics and AI

Covers health informatics fundamentals alongside AI applications, focusing on data interoperability, clinical workflows, and the role of AI in modern health systems.

Health InformaticsData InteroperabilityClinical WorkflowsAI Systems
Intermediate ⏱ 4 months Free to audit
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Coursera

University of Colorado

AI for Healthcare Systems Specialization

Explores AI deployment across healthcare systems covering population health, value-based care, clinical decision support, and AI governance frameworks.

Population HealthValue-Based CareAI GovernanceDecision Support
Intermediate ⏱ 4 months Free to audit
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Coursera

SkillUp

Artificial Intelligence for Healthcare Specialization

Beginner-friendly specialization introducing AI applications in healthcare, covering foundational concepts, use cases, and responsible AI practices.

AI FundamentalsHealthcare Use CasesResponsible AIDigital Health
Beginner ⏱ 3 months Free to audit
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Coursera

Politecnico di Milano

Trustworthy AI for Healthcare Management

Addresses AI trustworthiness in healthcare management covering explainability, fairness, privacy, and regulatory compliance for AI-driven health systems.

Trustworthy AIExplainabilityFairnessRegulatory Compliance
Intermediate ⏱ 6 weeks Free to audit
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Coursera 🔬 Hands-On

DeepLearning.AI

AI for Medical Diagnosis

Hands-on course applying deep learning to chest X-ray analysis, brain MRI segmentation, and diabetic retinopathy detection using real clinical datasets.

Medical ImagingX-Ray AnalysisMRI SegmentationDeep Learning
Intermediate ⏱ 4 weeks Free to audit
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Coursera

DeepLearning.AI

AI for Medical Treatment

Explores AI for treatment effect estimation, patient subgroup analysis, and NLP-based medical record processing. Part of the AI for Medicine specialization.

Treatment AIPatient SubgroupsNLPClinical Records
Intermediate ⏱ 4 weeks Free to audit
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Coursera

SkillUp

Foundations of AI in Healthcare

Builds foundational knowledge of AI in healthcare, covering key technologies, clinical applications, and the impact of AI on patient outcomes and healthcare delivery.

AI FoundationsClinical ApplicationsPatient OutcomesHealthcare AI
Beginner ⏱ 4 weeks Free to audit
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Coursera

University of Colorado

Foundation and Potential of AI in Healthcare

Introduces the foundational concepts and future potential of AI in healthcare, covering machine learning basics, clinical applications, and ethical considerations.

AI BasicsML FoundationsEthicsFuture of Healthcare
Beginner ⏱ 4 weeks Free to audit
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Udacity

Udacity

Applying AI to Electronic Health Records (EHR)

Teaches practical skills for applying machine learning to EHR data including data wrangling, feature engineering, and building predictive models for clinical outcomes.

EHR DataFeature EngineeringPredictive ModelsClinical Outcomes
Intermediate ⏱ 2 months Paid
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edX

MGH Institute

Introduction to AI and Machine Learning in Healthcare

Foundational course introducing AI and machine learning concepts with direct application to healthcare challenges, suitable for clinicians and health data professionals.

AI IntroductionML BasicsHealthcare DataClinical Challenges
Beginner ⏱ 8 weeks Free to audit
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edX

HBKUx

Applications of AI in Healthcare

Surveys real-world AI applications across various healthcare domains including radiology, pathology, genomics, and hospital operations.

Radiology AIPathologyGenomicsHospital Operations
Beginner ⏱ Self-paced Free to audit
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Other 🆓 Free

Oxford Home Study Centre

Artificial Intelligence in Healthcare (Free)

Free introductory course covering AI fundamentals and their application in healthcare, suitable for anyone curious about the role of AI in modern medicine.

AI BasicsHealthcare ApplicationsFree CourseIntroductory
Beginner ⏱ Self-paced Free
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Udemy 🆕 2026

Udemy

AI in Healthcare 2026

Updated for 2026, this course covers the latest AI tools and technologies being used in healthcare, from diagnostics to administrative automation.

AI 2026Healthcare TechDiagnosticsAdmin Automation
Beginner ⏱ Self-paced Paid
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Udemy 👩‍⚕️ Non-Technical

Udemy

Artificial Intelligence (AI) in Healthcare, Plain and Simple

A jargon-free introduction to AI in healthcare for non-technical professionals. Explains key concepts, tools, and use cases in plain language.

Non-TechnicalAI BasicsHealthcare Use CasesPlain Language
Beginner ⏱ Self-paced Paid
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Udemy

Udemy

AI in Healthcare: A-Z Guide on Tech, Applications and Ethics

Comprehensive A-Z guide covering AI technologies, real-world healthcare applications, and ethical frameworks suitable for professionals across the healthcare spectrum.

AI TechnologiesApplicationsEthicsComprehensive Guide
Intermediate ⏱ Self-paced Paid
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Udemy 👩‍⚕️ Non-Technical

Udemy

Machine Learning in Healthcare (No Coding Required)

Designed for clinicians and healthcare administrators with no coding background. Explains ML concepts and applications without programming requirements.

No-Code MLCliniciansHealthcare AnalyticsBeginner Friendly
Beginner ⏱ Self-paced Paid
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Udemy 🔬 Hands-On

Udemy / Eduonix

Applied Machine Learning for Healthcare

Practical machine learning course focused on healthcare applications covering supervised learning, classification, clustering, and real clinical datasets.

Applied MLClassificationClusteringClinical Datasets
Intermediate ⏱ Self-paced Paid
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Udemy

Udemy

The Complete Healthcare Artificial Intelligence Course

End-to-end course covering AI across the full healthcare ecosystem from diagnostics and imaging to drug discovery and administrative AI tools.

Complete AIDiagnosticsDrug DiscoveryAdministrative AI
Intermediate ⏱ Self-paced Paid
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Udemy 🆓 Free

Udemy

AI for Healthcare Professionals (Free)

Free course designed specifically for healthcare professionals covering AI fundamentals, clinical use cases, and how to evaluate AI tools in practice.

AI FundamentalsClinical AITool EvaluationFree
Beginner ⏱ Self-paced Free
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Other ⭐ Stanford

Stanford Online

Artificial Intelligence in Healthcare

Stanford's dedicated AI in healthcare program covering machine learning, clinical decision support, medical imaging, and responsible AI deployment in health systems.

Machine LearningClinical Decision SupportMedical ImagingResponsible AI
Intermediate ⏱ Self-paced Paid
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FutureLearn

Taipei Medical University

AI and Big Data in Global Health Improvement

Explores the role of AI and big data in improving global health outcomes, covering epidemiology, precision medicine, and digital health infrastructure.

Big DataGlobal HealthEpidemiologyPrecision Medicine
Intermediate ⏱ 5 weeks Free to audit
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FutureLearn

Starweaver

Key Skills for AI-Powered Clinical Decision Systems

Builds skills for working with AI-powered clinical decision support systems covering data requirements, model interpretation, and clinical integration.

Clinical Decision SupportModel InterpretationClinical IntegrationAI Skills
Intermediate ⏱ 4 weeks Free to audit
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Other 🆓 Free

Great Learning

AI Applications in Healthcare

Free course covering AI applications across healthcare domains including medical imaging, NLP for clinical records, and predictive analytics for patient outcomes.

AI ApplicationsMedical ImagingPredictive AnalyticsFree
Beginner ⏱ Self-paced Free
View Course →
Other 🔬 Hands-On

DataCamp

Biomedical Image Analysis in Python

Hands-on Python course for biomedical image analysis covering image processing, segmentation, and feature extraction using real medical imaging datasets.

PythonImage AnalysisSegmentationMedical Imaging
Intermediate ⏱ 4 hours Paid
View Course →
MIT 🆓 Free

MIT OpenCourseWare

Machine Learning for Healthcare

Advanced MIT course covering ML methods for clinical data, including time-series models, survival analysis, natural language processing, and causal inference in healthcare.

Clinical MLTime-SeriesSurvival AnalysisCausal Inference
Advanced ⏱ 12 weeks Free
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FutureLearn 🏥 Clinical

Royal College of Physicians

AI in Clinical Practice

Developed by the Royal College of Physicians, focusing on practical AI applications in clinical settings including diagnostics, workflow automation, and patient safety.

Clinical AIWorkflow AutomationPatient SafetyDiagnostics
Intermediate ⏱ 3 weeks Free to audit
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Coursera

University of Edinburgh

Data Science in Stratified Healthcare and Precision Medicine

Explores data science techniques applied to stratified healthcare and precision medicine, covering genomics, biomarker analysis, and personalised treatment approaches.

Data SciencePrecision MedicineGenomicsBiomarkers
Intermediate ⏱ 5 weeks Free to audit
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Coursera 🎓 University

Johns Hopkins University

Health Informatics Specialization

Comprehensive specialization covering health informatics, clinical data standards, interoperability, and the application of information technology to improve healthcare delivery.

Health InformaticsData StandardsInteroperabilityClinical IT
Intermediate ⏱ 5 months Free to audit
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edX

EPFL

Fundamentals of Biomedical Imaging: MRI

In-depth technical course on the physics and engineering of MRI, covering signal acquisition, image reconstruction, and clinical applications of magnetic resonance imaging.

MRI PhysicsImage ReconstructionSignal AcquisitionBiomedical Imaging
Advanced ⏱ 8 weeks Free to audit
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Coursera 🆓 Free Audit

Multiple Instructors

Artificial Intelligence in Healthcare (Coursera Free Audit)

Browse and audit a wide range of AI in healthcare courses from multiple instructors on Coursera, covering topics from ML basics to clinical AI deployment.

AI BasicsClinical AIMultiple TopicsFree Audit
Beginner ⏱ Self-paced Free to audit
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Coursera

DeepLearning.AI

AI for Medical Prognosis

Covers AI techniques for predicting patient outcomes including survival analysis, risk scoring, and time-to-event models using clinical data. Part of the AI for Medicine series.

Medical PrognosisSurvival AnalysisRisk ScoringClinical Data
Intermediate ⏱ 4 weeks Free to audit
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FutureLearn

European Universities Consortium

Digital Health: How AI Can Support Healthcare

Explores digital health transformation and the role of AI in supporting healthcare professionals, covering telemedicine, wearables, and AI-assisted diagnostics.

Digital HealthTelemedicineWearablesAI Diagnostics
Beginner ⏱ 3 weeks Free to audit
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edX 🎓 MIT

MIT Sloan

Artificial Intelligence in Health Care (edX)

MIT Sloan's edX program covering AI strategy and implementation in healthcare organisations, including case studies, AI adoption frameworks, and responsible AI governance.

AI StrategyHealthcare OrganisationsAI GovernanceCase Studies
Advanced ⏱ 6 weeks Paid
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Disclaimer: Course listings are curated for informational purposes. Availability, pricing, and content may change. We are not affiliated with any of the listed platforms. Always verify details on the official course page before enrolling.