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Course Description

Artificial intelligence (AI) is increasingly impacting many research and clinical aspects of biomedicine, and the use of AI in medicine is anticipated to grow in many ways. This course is intended for current and future clinicians. We intentionally define “clinicians” broadly so as to refer to anyone working with patients/research subjects in a clinically-oriented way, whether at the bedside, in the lab, or behind a computer. The overarching goal of the course is to familiarize participants in the methods and uses of AI in biomedicine. This will be an asynchronous, self-paced course that will include short video presentations, readings from a variety of sources (including medical and nonmedical articles) assessments and assignments. To stay current, additional or optional course material may be changed or added during the course. Absolutely no coding, computer science, or AI experience is required or expected other than general interest in the field.

Learner Outcomes

When you complete the course successfully, you will be able to:

  • Understand the basic themes and principles related to diverse AI methods utilized in biomedicine, including related to the ability to analyze different important data types.
  • Evaluate past and current real-world case studies and current applications of AI in clinical and research biomedical sphere, examining their effectiveness, limitations, and impact on healthcare outcomes.
  • Identify and critically assess key challenges and opportunities associated with the integration of AI technologies in biomedicine, considering factors such as privacy, bias, regulatory aspects, and the potential for innovation in medical research and clinical practice.

Microcredential(s) 

This course applies toward the AI in Medicine digital badge.

Textbook Information

There is no textbook for purchase required for this course.

Prerequisites

There is no textbook for purchase required for this course.

Additional Information

This course is designed for learners in a current or future clinically/medically-oriented role. 

This course is non credit-bearing. 

AI in Medicine digital badge will be issued to those completing this self-paced course on October 24, 2025 and December 19, 2025. 

Refund

Follow the link to review FAES Tuition Refund Policy.

Scholarship and Funding

Are you a self-funded student? FAES offers scholarship options. Click here for more information and to apply. 

Looking for resources to help you acquire funding for your continued education? Click here for our funding justification guide. 

Photo Release

By registering for this event, you agree to allow FAES to take photographs of you during the event and to use these photos for promotional purposes, including on our website, social media, and marketing materials, without further compensation. You understand that you have no right to review or approve the final use of these images.

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To Register Click on "Add to Cart"
Section Title
Artificial Intelligence in Medicine (Self-Paced Format)
Type
Online Self Paced
Dates
Oct 22, 2025 to Dec 09, 2025
Total Cost (Includes $75 non-refundable technology fee per course when applicable)
Eligible Discounts Can Be Applied at Checkout $250.00
Potential Discount(s)
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