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Course Description

Preparing for AI in Medicine 1 Hour Course Description and Objectives:

  • This short course will serve as primer for understanding the basics of machine learning and its current and future applications in Medicine.
  • The course includes 4 lessons that address medical applications for AI, members of the AI team, basic AI terminology, and future directions for AI.
  • Each lesson includes interviews from expert doctors discussing the lesson material along with their perceived impact on healthcare.

Foundations of AI based Medicine 4 Hour Course Description and Objectives:

  • Upon completion, 0.4 CEUs Awarded
  • The primary objective of this course is to provide clinicians interested in collaborating with AI researchers with the fundamentals of the field, e.g., establish a common vocabulary to facilitate communication across medical and AI experts.
  • It also prepares clinicians interested in becoming AI users to the subsequent 2 courses: technical aspects of AI, which is focused on covering programming and algorithmic fundamentals; and advanced concepts of AI, which is focused on topics such as deep learning, reinforcement learning, natural language processing etc.

Log in instructions: 

Once you register for the course, you will be automatically added to Canvas. Please follow these instructions to log in:

1. Follow this link: https://elearning.ufl.edu/ 

2. Click the blue "log in to continuing education" button

3. Log in with the same account you used to register.

Notes

A badge or certificate is not awarded for the 1 hour course. 
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Enroll Now - Select a section to enroll in
Section Title
Preparing for AI in Medicine
Type
self-paced
Dates
Start Now, you have 90 days to complete this course once enrolled.
Course Fee(s)
Rgeistration Fee non-credit $0.00
Drop Request Deadline
TBD
Transfer Request Deadline
TBD
Section Notes

This short course will serve as primer for understanding the basics of machine learning and its current and future applications in Medicine. The course includes 4 lessons that address medical applications for AI, members of the AI team, basic AI terminology, and future directions for AI. Each lesson includes interviews from expert doctors discussing the lesson material along with their perceived impact on healthcare. We hope this introductory course interests you and encourages you to participate in our subsequent courses that provide and deeper and more thorough understanding of AI in Medicine.

Section Title
AI in Medicine
Type
self-paced
Dates
Start Now, you have 60 days to complete this course once enrolled.
Course Fee(s)
Registration fee non-credit $200.00
Drop Request Deadline
TBD
Transfer Request Deadline
TBD
Section Notes
The primary objective of this course is to provide clinicians interested in collaborating with AI researchers with the fundamentals of the field, e.g., establish a common vocabulary to facilitate communication across medical and AI experts. It also prepares clinicians interested in becoming AI users to the subsequent 2 courses: technical aspects of AI, which is focused on covering programming and algorithmic fundamentals; and advanced concepts of AI, which is focused on topics such as deep learning, reinforcement learning, natural language processing etc.
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