top of page

AI+ Nurse

Blending Human Touch with AI Intelligence

  • 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

AI+ Nurse.JPG

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

Included

Duration

Prerequisites

Exam Format

Delivery

Outcome

AI+ Nurse

Instructor-led OR Self-paced course + Official exam + Digital badge

  • Instructor-Led: 1 day (live or virtual)

  • Self-Paced: 8 hours of content

Basic nursing knowledge, Familiarity with healthcare technology, Critical thinking, Foundational AI and ML concepts, Problem solving skills

50 questions, 70% passing, 90 minutes, online proctored exam

Hands-on, projects, case studies

Industry-recognized credential + hands-on experience

Businesswoman Portrait

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.

Job Roles & Industry Outlook 

Executive Leader

Oversee AI initiatives, align them with business objectives, and drive innovation across departments using AI technologies.

Chief Officer

Set AI strategy, direct implementation, and ensure alignment with business goals to enhance operations, products, and services.

Executive Director

Guide AI strategy, oversee implementation and foster collaboration across departments to support organizational goals.

Corporate Strategy Leader

Develop AI strategies aligned with corporate goals, identify AI integration opportunities and guide decision-making for businesses.

Industry Growth: Advancing Nursing Practices with AI-Driven Solutions

  • The AI‑Driven Virtual Nursing Assistants market is projected to rise from $1.41 billion in 2024 to $1.76 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 24.5%. (Source: Business Research Company)

​

  • Nurses will increasingly adopt AI to offload routine tasks and devote more time to direct patient care.

​

  • Healthcare institutions are investing in AI-driven nursing tools to boost efficiency and reduce errors.

​

  • Demand for nurses with AI and data skills is rising as hospitals shift toward predictive, personalized care models.

​

  • AI integration in nursing education is accelerating, preparing future nurses for advanced, tech-enabled roles.

Person Analyzing Data

What You'll Learn

Tools You'll Explore

Python.png

Python

image-53.jpg

Scikit-learn

Keras.png

Keras

jupyter.jpg

Jupyter Notebooks

Matplotlib.png

Matplotlib

Power-BI (1).png

Power BI

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.

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:

  • What is AI for Nurses? – 7%

  • AI for Documentation, Workflow, and Data Literacy – 15%

  • Predictive AI and Patient Safety – 15%

  • Generative AI in Nursing – 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 of intensive training with live demos

​

  • Real-time Q&A, peer collaboration, and hands-on

​

  • Led by AI Certified Trainers and delivered through Authorized Training Partners

Self-Paced Online

  • ~8 hours of on-demand video lessons, e-book, podcasts, and interactive hands-on

​​

  • Learn anywhere, anytime, with modular quizzes to track progress

Frequently Asked Questions

bottom of page