Artificial intelligence (AI), with its lofty promises, has always captured the public’s attention — most recently, with ChatGPT and generative AI. Long before that, AI helped popularize the modern online education movement, since it was the subject of one of the “original MOOCs”, Thrun and Norvig’s Introduction to AI, back in 2011.

More than a self-contained academic discipline, artificial intelligence has a wealth of applications in other disciplines and sectors — most notably, in healthcare. Indeed, AI is good at pattern recognition and, thereby, well-suited for analysing the ever-increasing amount of patient data that is collected, from symptoms to blood tests to medical imagery.

Important universities have recognized the potential of artificial intelligence in healthcare and launched dedicated initiatives. In 2018, Stanford founded the Center for AI in Medicine & Imaging and MIT established the Jameel Clinic for AI & healthcare, both geared toward a common goal: using AI to tackle medical problems and improve health outcomes.

Fortunately, these universities and many more around the world offer courses on the topics. Below, we’ve compiled more than 100 online courses and webinars on the uses of AI in healthcare.

If you’d rather learn about general AI, Class Central lists over 2400 courses on the topic, and we also have a guide: 10 Best AI Courses to Take in 2024.

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AI in Healthcare Online Courses

AI and Big Data in Global Health Improvement
Taipei Medical University via FutureLearn
Explore the role of AI and big data in healthcare with Taipei Medical University’s 4-week course. Learn about data sharing, patient safety, and healthcare technology. Suitable for all.
★★★★★ (46 ratings)

MedTech: AI and Medical Robots
University of Leeds via FutureLearn
Explore the intersection of AI, robotics, and healthcare with this 2-week course from the University of Leeds. Learn about design, regulation, and application of medical robots.
★★★★★ (10 ratings)

Machine Learning for Healthcare
Massachusetts Institute of Technology via MIT OpenCourseWare
This course introduces students to machine learning in healthcare, including the nature of clinical data, disease progression modeling, precision medicine, diagnosis, subtype discovery, and improving clinical workflows.
★★★★★ (6 ratings)

AI for Clinical Trials and Precision Medicine
Stanford University via YouTube
Stanford University offers a short program exploring AI’s role in optimizing clinical trials and precision medicine, with a focus on cancer therapies. Learn from postdoctoral researcher, Ruishan Liu.
★★★★★ (2 ratings)

Learn to Utilize AI in Healthcare
via Udacity
Explore the transformative power of AI in healthcare with this 17-week course. Learn to apply AI to 2D and 3D medical imaging, EHR data, and wearable device data, enhancing medical decision-making and patient outcomes.
★★★★★ (1 rating)

How Artificial Intelligence Can Support Healthcare
University of Groningen via FutureLearn
Explore how AI can be used to improve patient care and build your understanding of how to implement AI in the health professions.
★★★★★ (1 rating)

Application of Digital Health Interventions
Taipei Medical University via FutureLearn
Explore digital health interventions for complex diseases with Taipei Medical University’s 4-week course. Learn about apps for mental health, dementia care, and technology’s role in healthcare.
★★★★★ (2 ratings)

PyTorch and Monai for AI Healthcare Imaging
via freeCodeCamp
Learn to use PyTorch and Monai for AI healthcare imaging in this 5-hour Python machine learning course, covering U-Net, data preparation, and testing.
★★★★★ (2 ratings)

Artificial Intelligence and Health Care Webinar
Stanford University via Independent
Explore AI in healthcare with Stanford University’s recorded webinar. Understand its vision, opportunities, challenges, and implications, with a focus on equity and inclusion.
★★★★☆ (1 rating)

AI for Medical Diagnosis
DeepLearning.AI via Coursera
In this course, you will create convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders.
★★★★☆ (1 rating)

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
Icahn School of Medicine at Mount Sinai via Coursera
Explore big data science with Icahn School of Medicine at Mount Sinai in a 7-week course. Learn to organize, analyze, visualize, and integrate data, with a focus on computational methods.
★★★★☆ (1 rating)

Big Data Analytics in Healthcare
Georgia Institute of Technology via Udacity
In this course, we introduce the characteristics of medical data and associated data mining challenges on dealing with such data. We cover various algorithms and systems.

Big Data Analytics for Healthcare
Georgia Institute of Technology via Coursera
Learn how to analyze large amounts of medical data to improve care delivery and reduce waste. This course covers application, algorithm, and system aspects. Offered by Georgia Institute of Technology.

AI in Healthcare
Stanford University via Coursera
Stanford University’s 39-week course explores AI’s potential in healthcare, offering insights for both healthcare providers and computer science professionals. Includes CME accreditation.

Clinical Data Science
University of Colorado System via Coursera
Learn to use electronic health records and informatics tools for clinical data science in this 30-week course by the University of Colorado System. Gain hands-on experience with real clinical data.

AI for Medicine
DeepLearning.AI via Coursera
DeepLearning.AI offers a 13-week course on applying AI in medicine, covering diagnosis, prognosis, and treatment. Expect a 7-hour weekly commitment.

AI in Practice: Applying AI
Delft University of Technology via edX
Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.

Machine Learning for Healthcare
Massachusetts Institute of Technology via edX
An introduction to machine learning for healthcare, ranging from theoretical considerations to understanding human consequences of deploying technology in the clinic, through hands-on Python projects using real healthcare data.

Wondrium Pilots: Ethical Health Care in the Age of AI
via The Great Courses Plus
Explore both the ethics and policy of health care in the age of AI with a professor of philosophy and psychology.

Machine Learning: Algorithms in the Real World
Alberta Machine Intelligence Institute via Coursera
Learn to apply machine learning to data analysis and automation in various domains with this 17-week course by Alberta Machine Intelligence Institute. Gain skills to build, train, and deploy ML projects.

AI for Healthcare: Equipping the Workforce for Digital Transformation
University of Manchester via FutureLearn
In this course, you will develop your own digital skills and increase your understanding of technology for healthcare, so that you can join the conversation on embedding AI in healthcare practice.

Artificial Intelligence (AI) in Hospitality: Challenges and Business Opportunities
Hotel Institute Montreux via FutureLearn
In this course, you’ll discover how AI has the potential to change – and challenge – the hospitality industry. Understand how to grasp the opportunities it presents, including lowering costs, improving customer satisfaction, and innovating front office and housekeeping.

Complete Machine Learning & Data Science Bootcamp
via Udemy
Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

Machine Learning Predictions with FHIR and Healthcare API
Google Cloud via Coursera
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create a prediction pipeline for FHIR resources using Cloud Healthcare API and AI Platform.

Machine Learning for Healthcare
via Pluralsight
This course will explore the conceptual aspects of applying machine learning to problems in the healthcare industry, discuss case studies of machine learning used in healthcare, and explore practical implementations of techniques on real-world data from that industry.

AI for Healthcare
Great Learning via YouTube
Explore AI applications in healthcare with Great Learning. Understand AI, machine learning, deep learning, and their role in diagnosis, treatment, and patient care. Earn a free certificate.

Ethics and Governance of Artificial Intelligence for Health
via OpenWHO
Artificial intelligence (AI) has enormous potential for improving health outcomes and helping countries achieve universal health coverage. However, for AI to have a beneficial impact on people’s health, ethical considerations and human rights must be placed at the centre of its design, development and use.

The Complete Healthcare Artificial Intelligence Course
via Udemy
Creating powerful AI model for Real-World Healthcare applications with Data Science, Machine Learning and Deep Learning

Deep Learning for Healthcare
University of Illinois at Urbana-Champaign via Coursera
Explore deep learning in healthcare with the University of Illinois at Urbana-Champaign. This 13-week course covers health data analysis and neural networks, ideal for medical and machine learning professionals.

Informed Clinical Decision Making using Deep Learning
University of Glasgow via Coursera
Learn to apply deep learning in Electronic Health Records and develop Clinical Decision Support Systems with this 22-week course from the University of Glasgow.

Deep Learning with PyTorch for Medical Image Analysis
via Udemy
Learn to use PyTorch-Lightning for medical imaging tasks, including cancer segmentation and pneumonia classification, in this 12-hour course. Gain unique deep learning skills.

Deep Learning Application for Healthcare
via Pluralsight
Deep learning is a powerful machine learning technique that has led to incredible innovations in artificial intelligence. This course will teach you the fundamentals of deep learning in healthcare through theory and applied case studies.

Artificial Intelligence in Medicine
Stanford University via Independent
Explore AI in medicine with Stanford’s course, led by Dr. Curtis Langlotz. Learn about current research, future trends, and how to leverage AI in healthcare practices.

Improving Accuracy in the Diagnosis and Treatment of Acute Otitis Media in Young Children
Stanford University via Independent
Stanford University offers an online course for pediatricians on improving diagnosis and treatment of acute otitis media in children, using latest research and NIH-sponsored clinical trials.

Cross Cutting Issues + Closing the AI Chasm
Stanford University via Independent
Stanford University offers a recorded webinar on AI’s impact on health and healthcare, exploring critical issues and trends. Suitable for various professionals, with or without technical expertise.

Advancing the Practice + Science of Medicine via AI
Stanford University via Independent
Stanford University offers a recorded webinar exploring AI’s impact on health and medicine, relevant to practitioners, researchers, and policymakers.

MIT 6.S191: AI in Healthcare
Alexander Amini via YouTube
Explore AI applications in healthcare, including lung cancer screening, pathology, genomics, and more in this less than 1-hour material by Alexander Amini.

Building AI models for healthcare
TensorFlow via YouTube
TensorFlow’s short session dispels myths about building AI models for healthcare, discussing data, model accuracy, and product impact. Features expert conversations.

Frontiers of Medical AI – Therapeutics and Workflows
Stanford University via YouTube
Explore AI’s impact on medicine with Stanford’s Andre Esteva. Learn about AI in therapeutics and workflows, including cancer treatment decision-making and building a COVID-specialized search engine.

Practical AI Solutions Within Healthcare And Biotechnology
Open Data Science via YouTube
Explore AI’s role in healthcare with Open Data Science’s concise program. Learn to analyze large data sets, speed up diagnostics, and develop AI solutions for Fortune 500 companies.

Machine Learning for Healthcare Data
Simons Institute via YouTube
Learn to apply machine learning to healthcare data with Duke University’s Katherine Heller. Offered by Simons Institute, it requires 1-2 hours of study.

Introduction to AI Applications in Pulmonary Medicine
Taipei Medical University via FutureLearn
Discover how AI, machine learning and deep learning have improved clinical practice in the treatment of respiratory diseases.

Deep Learning for Medical Diagnoses
Stanford University via YouTube
Stanford University’s seminar explores deep learning for medical diagnoses, covering AI in diagnostics, arrhythmia detection, chest radiograph interpretation, and future AI applications.

Graphics, Artificial Intelligence and Voice UI Applications with the STM32H7A3/B3
STMicroelectronics via YouTube
Explore STMicroelectronics’ webinar on graphics, AI, and voice UI applications with STM32H7A3/B3, focusing on industrial automation, IoT, and smart medical devices.

Machine learning and data science for medicine: a vision, some progress and opportunities
Alan Turing Institute via YouTube
Explore machine learning and data science in medicine with Oxford’s Professor van der Schaar. Learn about AutoPrognosis, a method for creating personalized medical models, in this short program by Alan Turing Institute.

Resetting the Business of Data and AI in Healthcare
World Economic Forum via YouTube
Explore the future of AI in healthcare with the World Economic Forum. Learn about data governance, ethical AI tools, and novel approaches to harness data value in under an hour.

How to Use ChatGPT in Healthcare
via edX
Unlock ChatGPT’s potential in healthcare! Explore AI’s impact, learn ChatGPT use cases, navigate ethics and legalities, and streamline patient care, data access, and administration. Apply ChatGPT in day-to-day activities and transform healthcare. Join now!

Can ChatGPT solve medical mysteries?
Strong Medicine via YouTube
Explore how ChatGPT solves real-life diagnostic dilemmas in a short study by Strong Medicine, featuring an interview with author Adam Rodman.

Applications of AI Technology
Taipei Medical University via FutureLearn
Learn how AI technology is influencing four key areas: intelligent systems, medtech, deep learning, and sustainable fishing

Artificial Intelligence (AI) In Healthcare: Opportunities and Challenges
Taipei Medical University via FutureLearn
Explore AI’s role in healthcare with Taipei Medical University’s 4-week course. Learn about its history, benefits, challenges, and future applications, including AR/VR and IoT.