What is Digital/AI/Machine Learning? How is it Used?

Course Description:

The use of technology in the medical device industry facilitates data capture and analysis. An overview of technological systems such as artificial intelligence and machine learning and the way individuals interact with these systems, and the results of those interactions, will be discussed.

Learner Objectives:

• Examine how digital data is translated from binary code to ASCII code for use in electronic communications.
• Explore how people and systems interact, recognizing the role of the human perspective when using technology to analyze data
• Describe technological systems including artificial intelligence (AI) and Artificial General Intelligence (AGI).
• Identify the differences between supervised, semi-supervised, and unsupervised learning in machine learning.

Course Topics:

1. Digital (Binary and ASCII codes)
2. People vs. Systems
3. Technology from a
1. System Perspective
2. Hybrid Perspective
4. Artificial Intelligence
5. Machine Learning
6. Supervised, Semi-supervised, & Unsupervised Learning

Learner Disclosures:

• Accreditation Status: Emory Nursing Professional Development Center (ENPDC) is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center’s (ANCC) Commission on Accreditation.
• Financial Relationships: ENPDC has evaluated everyone who has the ability to control content of this activity (planning committee members, subject matter experts, presenters) and found that no relevant financial relationships exist.
• Awarding Contact Hours: To obtain contact hours participants must
  • Review the entire activity
  • Complete the quiz and evaluation at the end
  • Certificates will be distributed at the end of the evaluation
• Enduring Materials Dates:
• • • Start Date: 5/19/2023
    • Expiration Date: 5/19/2026

Program Information: This is the first course in a six (6) course program. To complete the entire program and earn a badge CLICK HERE.

Need Help with Registration? Please contact us at ene@emory.edu or 404-727-9208.