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As artificial intelligence becomes more part of daily life, professionals in the health care industry are finding new and innovative ways to use it to improve the quality of medicine. From handling patient records to aiding in imaging diagnostics to developing new tools and devices, AI is a set of techniques that is important for health care professionals to understand. Educational institutions have stepped up, with resources ranging from free online webinars to multi-semester academic programs. For those looking to improve their knowledge and use of AI, here are some top programs offering certificates for AI in various aspects of health care, some of which may count toward continuing education credits:
1. AI in Healthcare Specialization
Certifying Organization: Stanford University School of Medicine
Skills Learned: The specialization, designed for both health care providers and computer professionals, aims to increase collaboration between those two disciplines to bring AI technologies into the clinic safely and ethically. The specialization consists of five self-paced courses. Students will cover several areas: identifying which problems in health care can be solved with machine learning (ML); analyzing how AI affects patient care quality, safety and research; relating AI to the science, practice and the business of medicine; and applying the building blocks of AI to innovate and understand emerging technologies.
Requirements: Beginner level
Duration: One month at 10 hours a week
Location: Online
Test: Quizzes with each module. Capstone project.
Cost: $79 a month
2. Artificial Intelligence in Healthcare: Fundamentals and Applications
Certifying Organization: Massachusetts Institute of Technology, MIT xPRO
Skills Learned: Learn about the AI design process model, understand different machine learning algorithms and how they can be applied, examine neural network natural language processing (NLP) algorithms and their applications. Students will apply the skills they learn to solve problems and develop an AI product or service for health care.
Requirements: This program has no prerequisites, but a preliminary understanding of AI, machine learning and data is recommended to maximize the program's potential.
Duration: Seven weeks, five-seven hours per week, starting Feb. 8 (may be offered again in the future)
Location: Online
Cost: $2,496
3. Medical Software and Medical Artificial Intelligence
Certifying Organization: Yale University
Skills Learned: Students will learn about various medical AI topics: essential knowledge and skills in the combined areas of medical software and medical artificial intelligence and how they’re transforming the medical device and pharmaceutical industries; understanding what AI is and how it is changing medical practice and products; and understanding how the current and emerging regulatory processes impact how medical software applications are designed, implemented and tested.
Requirements: Application, including a resume, statement of purpose and optional professional references. Due Feb. 19.
Duration: Four months; four four-week modules, starting March 14
Location: Online
Cost: $5,000
4. Artificial Intelligence in Medicine
Certifying Organization: University of Illinois Urbana-Champaign, Carle Illinois College of Medicine
Skills Learned: Confidently read literature related to artificial intelligence in medicine; understand how data-driven decisions are made and assessed; identify and define different types of artificial intelligence tools and techniques used in medicine; participate in the selection, purchase and deployment of AI-based medical software.
Requirements: Introductory course for health care professionals; no requirement for programming or coding experience
Duration: Six one-hour modules over six weeks. Must be completed within six months.
Location: Online
Test: Quizzes must be completed to access the next module
Cost: $750
5. AI for Medicine Specialization
6. AI for Healthcare Nanodegree Program
Certifying Organization: Udacity
Skills Learned: Applying AI to 2D and 3D medical imaging data, electronic health records (EHRs) and wearable device data.
Requirements: Knowledge of machine learning frameworks in Python; intermediate Python; basic supervised machine learning; data cleaning
Duration: Introduction plus four three-week courses and optional two-day course. About three months.
Location: Online
Cost: $249 a month
Skills Learned: Understand the fundamental concepts of AI; understand how large language models (LLMs) can be applied in health care; discuss how AI can be applied to clinical problems; understand how health care AI can be implemented.
Requirements: Certification requires completing two out of three courses
Duration: Three courses given at specific dates, each lasting four days. Individual courses provide continuing education credits. Participants have a rolling five-year deadline to complete the certificate.
Location: Online
Cost: $2,600 a course
Skills Learned: Identify trends in digital health; define the role predictive analytics, artificial intelligence and machine learning in transforming the digital health care industry; understand what separates a successful population health initiative from a failed one; identify how digital solutions can address resource allocation and waste in the medical industry; quantitatively assess the price of pharmaceuticals and technology advancements,
Duration: Nine weeks, four to six hours a week
Location: Online
Test: Quizzes
Cost: $2,800
9. Collaborative Data Science for Healthcare
Certifying Organization: Massachusetts Institute of Technology MITx
Skills Learned: Principles of data science as applied to health; analysis of electronic health records; artificial intelligence and machine learning in health care
Requirements: Experience with R, Python and/or SQL
Duration: 12 weeks at two to three hours a week. Self-paced enrollment by Feb. 29, instructor-paced enrollment ends Feb. 28.
Location: Online
Test: Graded assignments and exams
Cost: $49
10. Artificial Intelligence and Robotics in Medicine Research Specialization
1. AI in Healthcare Specialization
Certifying Organization: Stanford University School of Medicine Skills Learned: The specialization, designed for both health care providers and computer professionals, aims to increase collaboration between those two disciplines to bring AI technologies into the clinic safely and ethically. The specialization consists of five self-paced courses. Students will cover several areas: identifying which problems in health care can be solved with machine learning (ML); analyzing how AI affects patient care quality, safety and research; relating AI to the science, practice and the business of medicine; and applying the building blocks of AI to innovate and understand emerging technologies.
Requirements: Beginner level
Duration: One month at 10 hours a week
Location: Online
Test: Quizzes with each module. Capstone project.
Cost: $79 a month
2. Artificial Intelligence in Healthcare: Fundamentals and Applications
Certifying Organization: Massachusetts Institute of Technology, MIT xPRO Skills Learned: Learn about the AI design process model, understand different machine learning algorithms and how they can be applied, examine neural network natural language processing (NLP) algorithms and their applications. Students will apply the skills they learn to solve problems and develop an AI product or service for health care.
Requirements: This program has no prerequisites, but a preliminary understanding of AI, machine learning and data is recommended to maximize the program's potential.
Duration: Seven weeks, five-seven hours per week, starting Feb. 8 (may be offered again in the future)
Location: Online
Cost: $2,496
3. Medical Software and Medical Artificial Intelligence
Certifying Organization: Yale UniversitySkills Learned: Students will learn about various medical AI topics: essential knowledge and skills in the combined areas of medical software and medical artificial intelligence and how they’re transforming the medical device and pharmaceutical industries; understanding what AI is and how it is changing medical practice and products; and understanding how the current and emerging regulatory processes impact how medical software applications are designed, implemented and tested.
Requirements: Application, including a resume, statement of purpose and optional professional references. Due Feb. 19.
Duration: Four months; four four-week modules, starting March 14
Location: Online
Cost: $5,000
4. Artificial Intelligence in Medicine
Certifying Organization: University of Illinois Urbana-Champaign, Carle Illinois College of MedicineSkills Learned: Confidently read literature related to artificial intelligence in medicine; understand how data-driven decisions are made and assessed; identify and define different types of artificial intelligence tools and techniques used in medicine; participate in the selection, purchase and deployment of AI-based medical software.
Requirements: Introductory course for health care professionals; no requirement for programming or coding experience
Duration: Six one-hour modules over six weeks. Must be completed within six months.
Location: Online
Test: Quizzes must be completed to access the next module
Cost: $750
5. AI for Medicine Specialization
Certifying Organization: Deeplearning.ai
Skills Learned: Gain practical experience applying machine learning to concrete problems in medicine, including: diagnose diseases from x-rays and 3D MRI brain images; predict patient survival rates more accurately using tree-based models; estimate treatment effects on patients using data from randomized trials; automate the task of labeling medical data sets using natural language processing.
Requirements: An ability to program in Python and comfort with statistics and probability. The company’s Deep Learning Specialization is recommended but not required.
Duration: Three courses, each requiring three to four hours a week for four to six weeks. About three months.
Location: Online
Test: Three or four quizzes in each course
Cost: $49 a month
See more: AI Gets Empathetic: Advances in Emotionally Intelligent AI
6. AI for Healthcare Nanodegree Program
Certifying Organization: Udacity Skills Learned: Applying AI to 2D and 3D medical imaging data, electronic health records (EHRs) and wearable device data.
Requirements: Knowledge of machine learning frameworks in Python; intermediate Python; basic supervised machine learning; data cleaning
Duration: Introduction plus four three-week courses and optional two-day course. About three months.
Location: Online
Cost: $249 a month
7. Business Applications for AI in Health Care
Certifying Organization: Harvard University TH Chan School of Public HealthSkills Learned: Understand the fundamental concepts of AI; understand how large language models (LLMs) can be applied in health care; discuss how AI can be applied to clinical problems; understand how health care AI can be implemented.
Requirements: Certification requires completing two out of three courses
Duration: Three courses given at specific dates, each lasting four days. Individual courses provide continuing education credits. Participants have a rolling five-year deadline to complete the certificate.
Location: Online
Cost: $2,600 a course
8. Digital Transformation in Healthcare
Certifying Organization: Columbia Business SchoolSkills Learned: Identify trends in digital health; define the role predictive analytics, artificial intelligence and machine learning in transforming the digital health care industry; understand what separates a successful population health initiative from a failed one; identify how digital solutions can address resource allocation and waste in the medical industry; quantitatively assess the price of pharmaceuticals and technology advancements,
Duration: Nine weeks, four to six hours a week
Location: Online
Test: Quizzes
Cost: $2,800
9. Collaborative Data Science for Healthcare
Certifying Organization: Massachusetts Institute of Technology MITx Skills Learned: Principles of data science as applied to health; analysis of electronic health records; artificial intelligence and machine learning in health care
Requirements: Experience with R, Python and/or SQL
Duration: 12 weeks at two to three hours a week. Self-paced enrollment by Feb. 29, instructor-paced enrollment ends Feb. 28.
Location: Online
Test: Graded assignments and exams
Cost: $49
10. Artificial Intelligence and Robotics in Medicine Research Specialization
Certifying Organization: Cambridge Centre for Innovation and Development
Skills Learned: Provides the knowledge to apply AI in medicine and robotics research; training to perform research in an international research environment.
Requirements: Basic knowledge of mathematics, medicine, science or other relevant areas is recommended
Duration: Four four-week modules, 16 weeks total, beginning Feb. 25. Each module can also be taken on its own, and two provide professional certification.
Location: Online
Cost: £419. Each course can also be paid for individually.
See more: Can AI Help Improve Mental Health in the Workplace?
