National League of NursingNational League of Nursing

The Voice of Nursing Education

Integrating Artificial Intelligence (AI) in Nursing Education: A Comprehensive Guide for Faculty

 

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Overview of the Course

Artificial intelligence is rapidly transforming healthcare, and nursing education plays a central role in preparing future clinicians for this changing landscape. This practical, evidence informed course supports faculty at every level—LPN through doctoral programs—whether you are new to AI or already experimenting with digital tools.

Through a blend of foundational knowledge and hands on practice, the course demystifies how AI works, explores its implications for nursing education, and demonstrates how to integrate AI into teaching, assessment, and academic operations. The course also addresses responsible use, policy considerations, and strategies for preserving professional judgment and human oversight. 

By the end, you’ll understand where AI can add value, how to implement it ethically, and how to prepare your students for the realities of AI integrated clinical practice.

What is the benefit of this course?

This course equips nurse educators with the skills and confidence to integrate AI responsibly across teaching and program operations. You’ll learn how to streamline time intensive tasks using AI—such as grading, curriculum mapping, and predictive analytics—while strengthening program quality and student outcomes. Most importantly, you will be prepared to teach the next generation of nurses in an AI enabled healthcare environment without compromising professional identity or ethical standards.

What you will learn

By completing this course, you will be able to:

  • Build foundational AI literacy and explain how generative AI works
  • Evaluate the benefits, limitations, risks, and ethical considerations of AI in nursing education
  • Design lesson plans, simulations, NCLEX style questions, and competency based assessments using AI
  • Apply AI tools to enhance clinical reasoning, student engagement, and personalized learning
  • Use AI to support grading, scheduling, curriculum mapping, program evaluation, and accreditation processes
  • Navigate legal, regulatory, and policy considerations related to AI in academic settings
  • Implement responsible AI governance that protects academic integrity and professional standards

Course Authors

Kellie Bryant, DNP, WHNP, CHSE, FSSH, FADLN, FAAN
National League for Nursing Center for Innovation in Education Excellence

Raquel Bertiz, PhD, RN, CNE, CHSE-A
National League for Nursing Center for Innovation in Education Excellence

Frank Hicks, PhD, RN, CNE, ANEF
Rush University

Andrew Bobal, EdD
National League for Nursing

How it works

  • Course Length

    6 hours

  • Instruction

    Online, Self-paced

  • Cost

    $295 - Non-members | $265.50 - Members

  • CEU

    0.6 CEUs / 6 Contact Hours


FAQs

Who is this course intended for?

This course is designed for nurse educators at all levels—from faculty in LPN and ADN programs to those teaching in BSN, MSN, DNP, and PhD education. Whether you are new to AI or already exploring its applications in your teaching, this course offers practical, relevant guidance to meet you where you are.

What are the course expectations and progression?

This course is self-paced, allowing you to complete the material on your own schedule.

What kind of technology is required?

Learners will need access to a computer, tablet, or smartphone to complete the course.

Cancellations

There will be no cancellations, returns, or exchanges.  No exceptions.  

Price: $265.50
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