Why This Certification Matters

  • AI in Patient Care: Learn how AI enhances patient monitoring, early warning systems, and proactive care delivery.

  • Clinical Decision Support: Understand AI tools that assist nurses in medication management, triage, and treatment recommendations.

  • Workflow Optimization: Discover how AI reduces administrative burdens and streamlines nursing workflows for efficiency.

  • Ethical and Human-Centered Care: Explore responsible AI practices that preserve empathy, trust, and patient-centered values in nursing.

  • Practical Simulations: Apply skills in real-world nursing scenarios through interactive, AI-powered case-based learning.

At a Glance: Course + Exam Overview

Program Name
AI+ Nurse Practitioner™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites
Basic nursing knowledge, Familiarity with healthcare technology, Critical thinking, Foundational AI and ML concepts, Problem solving skills
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience

Who Should Enroll?

  • Registered Nurses (RNs): Professionals seeking to integrate AI into daily patient care and clinical decision-making.

  • Nursing Students: Learners aiming to build future-ready skills in AI-driven healthcare practices.

  • Healthcare Administrators: Individuals looking to optimize nursing workflows and enhance patient care outcomes.

  • Clinical Informatics Specialists: Experts interested in applying AI to electronic health records and patient data analysis.

  • Nurse Educators & Trainers: Professionals preparing the next generation of nurses with AI-powered healthcare knowledge.

Skills You'll Gain

AI in Nursing PracticeWorkflow AutomationClinical Data LiteracyPredictive Modeling for Patient SafetyGenerative AI in Nursing EducationAI-Powered DocumentationReal-Time Clinical Decision SupportBias and Fairness in Healthcare AIEvaluation of AI ToolsChange Management and Leadership in AI Integration

What You'll Learn

  • Patient-Centric AI Care: Designed for nurses to leverage AI for enhanced patient outcomes
  • Data-Driven Decisions: Provides practical insights for informed clinical and operational choices
  • Comprehensive AI Understanding: Covers AI fundamentals to real-world healthcare applications
  • Clinical Excellence with AI: Empowers nurses to confidently integrate AI into daily healthcare practice

  • 1.1 Understanding AI Basics in a Nursing Context
  • 1.2 Where AI Shows Up in Nursing
  • 1.3 AI Risks Nurses Must Recognize
  • 1.4 AI as a Nursing Support Tool

  • 2.1 AI in Nursing Documentation
  • 2.2 Workflow Automation in Nursing Practice
  • 2.3 Beginner’s Guide to Data Literacy in Nursing
  • 2.4 Data Integrity and Documentation Safety
  • 2.5 Communication and Translation Support
  • 2.6 Real-World Case Studies: Documentation AI in Practice

  • 3.1 Understanding Predictive AI in Healthcare
  • 3.2 Evaluating Alerts and Model Performance
  • 3.3 Human-in-the-Loop Clinical Decision-Making
  • 3.4 Interdisciplinary Response and Handoff Support
  • 3.5 Bias and Equity in Predictive Models
  • 3.6 Real-World Case Studies: Predictive AI in Practice

  • 4.1 Introduction to Generative AI in Nursing
  • 4.2 Safe Use of Generative AI
  • 4.3 Patient Education and Communication Materials
  • 4.4 Multilingual and Accessible Communication
  • 4.5 Clinical Use Boundaries for Generative AI
  • 4.6 Real-World Case Studies: Generative AI in Practice

  • 5.1 Bias, Fairness, and Inclusion
  • 5.2 Informed Consent and Transparency
  • 5.3 Privacy, Security, and Confidentiality
  • 5.4 Regulatory Literacy for Nurses
  • 5.5 Professional Responsibility and Accountability

  • 6.1 Understanding Performance Metrics
  • 6.2 Predictive Tools vs. Generative Tools
  • 6.3 Vendor Red Flags
  • 6.4 The Nurse Practitioner’s Role in Tool Selection

  • 7.1 Building Buy-In
  • 7.2 Change Management Essentials
  • 7.3 Creating an AI Playbook: A Comprehensive Roadmap for Sustainable Success
  • 7.4 Monitoring Quality Improvement
  • 7.5 Error Reporting and Safety Protocols
  • 7.6 Real-World Case Studies in AI Implementation and Change Leadership

  • 8.1 Capstone Project – Designing a Personal AI-in-Nursing Impact Plan

  • 1. What Are AI Agents?
  • 2. How Does an AI Agent Work in Healthcare?
  • 3. Core Characteristics of AI Agents
  • 4. Importance of AI Agents (General + Nursing)
  • 5. Significance of AI Agents in Nursing
  • 6. Types of AI Agents?
  • 7. Applications and Trends in Nursing
  • 8. Case Study – AI Agents for Nursing Workflow & Sepsis

Tools You'll Master

Python
Scikit-learn
Keras
Jupyter Notebooks
Matplotlib
Power BI

Prerequisites

  • Registered Nurse or Nurse Practitioner qualification: Required for enrollment
  • Basic clinical workflow understanding: Supports application of AI concepts
  • Familiarity with EHR systems: Helps in digital documentation usage
  • Basic healthcare data knowledge: Enables better interpretation of AI outputs
  • Interest in AI healthcare innovation: Ensures engagement with course content

Exam Details

Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via proctored exam platform (flexible scheduling)

Exam Blueprint:

  • AI for Nurses – 7%
  • AI for Documentation, Workflow, and Data Literacy – 15%
  • Predictive AI and Patient Safety – 15%
  • Generative AI and Nursing Education – 15%
  • Ethics, Safety, and Advocacy in AI Integration – 12%
  • Evaluating and Selecting AI Tools – 12%
  • Implementing AI and Leading Change on the Unit– 12%
  • Capstone Project – Designing a Personal AI-in-Nursing Impact Plan – 12%

Choose the Format That Fits Your Schedule

What's Included (One-Year Subscription + All Updates):

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Online Proctored Exam with One Free Retake
  • Comprehensive Exam Study Guide
  • Access for Tablet & Phone
Instructor-Led (Live Virtual/Classroom)
  • 1 day (live or virtual) Self-Paced: 8 hours of content
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
  • 8 hours of content
  • Learn anywhere, anytime, with modular quizzes to track progress
Need More Flexibility?

Need More Flexibility?

To help you along your way, we can help you set up a customizable payment plan. Just book a call, we’ll provide you with the details!

Let's Arrange a Call

9/10 of our learners achieve their learning objectives after successful completionProcess Advisors

fortray global services

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Frequently Asked Questions

Yes, you’ll gain practical skills through nursing-focused case studies and projects, ready to apply AI tools in patient care.

It combines nursing practice with hands-on AI training, focusing on workflow efficiency, patient monitoring, and care delivery.

You’ll work on AI-powered patient monitoring, EHR documentation, predictive alerts, and workflow optimization tailored to nursing.

The course blends expert-led lessons, interactive modules, and case-based nursing simulations for strong practical learning.

It builds in-demand AI nursing skills with real-world projects and prepares you for roles in AI-driven healthcare.