Artificial Intelligence and Machine Learning Courses

AI+ Nurse - Self-paced

Length 365 days access
Inclusions Online exam

Course overview

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Why study this course

The AI + Nurse course equips healthcare professionals with the essential skills to integrate artificial intelligence into nursing practice. By focusing on AI technologies and their application in clinical settings, the certification prepares nurses to enhance patient care, optimise workflows, and improve decision-making. The program covers AI fundamentals, data analytics, machine learning, and ethical considerations, enabling nurses to confidently leverage AI tools to advance patient outcomes. With the growing role of technology in healthcare, the AI + Nurse certification provides a critical edge for nurses seeking to stay at the forefront of the evolving healthcare landscape.

Exam and certification

This course prepares students for the corresponding certification. The exam/assessment is completed online and provided as part of the course content.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

Course availability update

Lumify Work is actively monitoring demand for this course. It is currently offered as a self-paced eLearning course and includes the certification exam. If you're interested in joining a waitlist for future instructor-led training — or exploring options for a tailored delivery for your organisation — please contact us. Your feedback helps shape our activation roadmap.

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What you’ll learn

This course is designed to teach participants how to:

Leverage AI for enhanced patient outcomes
Make informed clinical and operational choices
Integrate AI into daily healthcare practice

AI CERTs at Lumify Work

AI CERTs® stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is a Platinum Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

Registered Nurses
Nurse Practitioners
Healthcare Administrators
Nursing Educators
Nursing Students

Course subjects

Module 1: What is AI for Nurses?

What is AI for Nurses?
Where AI Shows Up in Nursing
Case Study: Improving Patient Safety and Nursing Efficiency with AI at Riverside Medical Center
Hands-on: Using Nurse AI for Clinical Data Visualisation in Postoperative Nursing Care

Module 2: AI for Documentation, Workflow, and Data Literacy

Introduction to Natural Language Processing
Workflow Automation: Transforming Nursing Practice
Beginner’s Guide to Data Literacy in Nursing
Legal & Compliance Basics in Nursing AI Documentation
Case Study: Integrating AI and Workflow Automation at Massachusetts General Hospital (MGH)
Hands-on Exercise: Using the ChatGPT Registered Nurse Tool in Clinical Documentation and Patient Education

Module 3: Predictive AI and Patient Safety

Understanding Predictive Models
Alert Fatigue and Trust
Simulation Activity: Responding to Real-Time Deterioration Alerts
Collaborating Across Teams
Bias in Predictions
Case Study
Hands-on Activity: Interpreting Predictive Alerts with ChatGPT

Module 4: Generative AI in Nursing

Introduction to Generative AI in Nursing
Large Language Models (LLMs) for Nurses
Creating Patient Education Materials with AI
Ensuring Safe and Ethical Use of AI
Case Study
Hands-on Activity: Exploring AI-Powered Differential Diagnosis with Symptoma

Module 5: Ethics, Safety, and Advocacy in AI Integration

Bias, Fairness, and Inclusion
Informed Consent and Transparency
Nurse Advocacy and Professional Responsibilities
Creating an Ethics Checklist
Stakeholder Feedback Techniques
Legal and Regulatory Considerations
Psychological and Social Implications
Case Study: Addressing Racial Bias in Healthcare Algorithms (Optum Algorithm Case)
Hands-on: Uncovering Bias in Diabetes Risk Prediction — A Fairness Audit Using Aequitas

Module 6: Evaluating and Selecting AI Tools

Understanding Performance Metrics
Vendor Red Flags
Nurse Role in Selection
Evaluation Templates and Checklists
Use Cases: AI in Clinical Decision-Making
Case Study: Using AI to Enhance Real-Time Clinical Decision-Making at UAB Medicine with MIC Sickbay
Hands-on: Evaluating AI Diagnostic Model Performance Using Confusion Matrix Metrics

Module 7: Implementing AI and Leading Change on the Unit

Building Buy-In: Promoting AI as an Ally, Not a Competitor
Change Management Essentials
Creating an AI Playbook: A Comprehensive Roadmap for Sustainable Success
Monitoring Quality Improvement: Leveraging AI Metrics for Continuous Enhancement
Error Reporting and Safety Protocols: Ensuring Safe and Reliable AI Integration
Hands-on Activity: Calculating Clinical Risk Scores and Visualisation with ChatGPT

Prerequisites

Basic Nursing Knowledge: Understanding of clinical practices and patient care
Familiarity with Healthcare Technology: Experience with electronic health records and medical devices
Introduction to Data Science: Understanding data analysis and interpretation in healthcare
Basic AI and Machine Learning Concepts: Knowledge of algorithms and predictive modeling
Critical Thinking and Problem Solving: Ability to make data-driven healthcare decisions

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.