...

Download Our Latest Course Catalog | Download Now

[woo_multi_currency_layout10]

AI+ Nurse Practitioner (AP 1102)

AI is becoming part of everyday nursing, supporting patient monitoring, documentation, clinical decisions, and care coordination.

The AI+ Nurse Practitioner certification helps nurses apply AI across healthcare workflows while maintaining patient safety and professional judgment. You’ll explore predictive analytics, generative AI, workflow automation, patient communication, and responsible AI practices designed to support faster, safer, and more informed nursing care.

Overview

Overview

AI can help nursing teams analyze patient information, detect risks earlier, streamline documentation, and improve care coordination. This course explains how to apply AI across practical nursing workflows while maintaining clinical judgment and patient safety.

You’ll explore predictive AI, generative AI, documentation, data literacy, patient monitoring, tool evaluation, and responsible implementation. The course also covers AI-supported decision-making, workflow improvement, change management, and patient communication. It’ll help you use AI effectively across clinical, educational, and administrative nursing environments.

Prerequisites
  • Basic understanding of machine learning, data analytics, automation, and AI applications in healthcare

  • Awareness of patient care processes, clinical workflows, care coordination, and medication management

  • Understanding of patient confidentiality, healthcare data governance, responsible AI, and ethical decision-making

  • Ability to read and use patient data, clinical reports, health records, and healthcare operational insights

  • Familiarity with EHR/EMR platforms, clinical decision-support tools, patient monitoring systems, and digital health applications

Target Audience
  • Nurse practitioners and clinical nurses exploring practical AI applications

  • Primary care providers and healthcare clinicians expanding their AI skills

  • Patient care coordinators improving AI-supported care workflows

  • Healthcare data and clinical analysts working with AI-driven insights

  • Emergency and critical care professionals adopting AI in patient care

  • Healthcare administrators using AI to improve operations

  • Public health professionals applying AI to preventive care

  • Healthcare technology professionals supporting clinical AI adoption

  • Compliance professionals focused on responsible AI in healthcare

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%
FAQs

1. Can the course be taken online?
Yes. The certification is available through live virtual instructor-led training or a self-paced online learning option.

2. Is in-person training available?
Yes. Classroom instructor-led training is available through AI CERTs Authorized Training Partners.

3. Will I receive official course materials?
Yes. Participants receive learning materials, quizzes, assessments, course resources, and a comprehensive exam study guide.

Course Outline

Module 1: AI for Nurses
  1. AI basics in a nursing context
  2. Machine learning, deep learning, and foundation models
  3. AI in everyday nursing workflows
  4. Documentation and triage
  5. Staffing support
  6. Patient communication
  7. Early warning systems
  8. Common AI use cases in nursing
  9. AI-related risks
  10. Communicating AI use to patients
  11. AI as a nursing support tool
  12. Preserving clinical judgment, patient trust, and professional accountability

 

Module 2: AI for Documentation, Workflow, and Data Literacy
  1. AI-assisted note drafting
  2. Ambient listening
  3. Handoff summaries
  4. Task prioritization
  5. Remote patient monitoring
  6. Translation workflows
  7. Reducing charting burden
  8. Reviewing AI-generated outputs
  9. Detecting documentation errors
  10. Protecting patient record integrity
  11. Data literacy for nursing
  12. Understanding healthcare dashboards
  13. Assessing data quality
  14. Interpreting AI-generated insights responsibly

 

Module 3: Predictive AI and Patient Safety
  1. Predictive AI in healthcare
  2. Early patient risk detection
  3. Vitals, laboratory results, and EHR data
  4. Wearables and remote monitoring
  5. Sepsis alerts
  6. Fall risk prediction
  7. Pressure injury prevention
  8. Patient deterioration monitoring
  9. Home-based care
  10. Understanding predictive alerts
  11. Model performance
  12. False alarms and missed risks
  13. Human-in-the-loop clinical decision-making
  14. Bias in predictive systems
  15. Interdisciplinary response workflows

 

Module 4: Generative AI and Nursing Education
  1. Generative AI in nursing
  2. Large language models
  3. Multimodal AI tools
  4. Patient education materials
  5. Clinical summaries and explanations
  6. Safe prompting
  7. Hallucination detection
  8. Verifying AI-generated information
  9. Multilingual patient communication
  10. Accessible communication
  11. Patient privacy protection
  12. Clinical boundaries for generative AI
  13. Final human review

 

Module 5: Ethics, Safety, and Advocacy in AI Integration
  1. Bias in healthcare AI
  2. Fairness and inclusion
  3. Patient privacy
  4. Transparency
  5. Patient consent
  6. Clinical accountability
  7. Recognizing unfair AI-supported outcomes
  8. Protecting patient data
  9. Explaining AI involvement to patients
  10. Ethical decision-making in clinical practice
  11. Governance committees
  12. Audit trails
  13. Escalation pathways
  14. Incident reporting
  15. Nursing responsibility in AI-supported care decisions

 

Module 6: Evaluating and Selecting AI Tools
  1. Evaluating AI products for clinical use
  2. Accuracy
  3. Sensitivity
  4. Specificity
  5. AUC-ROC
  6. Positive predictive value (PPV)
  7. Negative predictive value (NPV)
  8. Predictive AI tool evaluation
  9. Generative AI tool evaluation
  10. Vendor red flags
  11. Pilot testing
  12. Nurse Practitioner involvement in tool selection
  13. Patient and workflow fit
  14. Safety and equity
  15. Privacy and usability

 

Module 7: Implementing AI and Leading Change on the Unit
  1. Building trust and buy-in
  2. Addressing resistance to AI
  3. Change management principles
  4. Supporting AI adoption
  5. Training different learner groups
  6. Gathering feedback during rollout
  7. Nurse AI Champion roles
  8. AI Steward roles
  9. Quality monitoring
  10. Error reporting
  11. Escalation pathways
  12. Evaluating AI-supported workflows
  13. Identifying when rollback is necessary
  14. Maintaining safe and patient-centered implementation

 

Module 8: Capstone Project: Designing a Personal AI-in-Nursing Impact Plan
  1. Identifying a realistic nursing problem
  2. Designing an AI-based solution
  3. Selecting a clinical, educational, or administrative setting
  4. Planning stakeholder collaboration
  5. Outlining implementation steps
  6. Defining success metrics
  7. Applying safe and ethical AI principles
  8. Maintaining a patient-centered approach
  9. Creating a practical AI-in-Nursing Impact Plan
  10. Presenting the plan as a report, slides, or infographic
Note : A representative from Datacipher will contact you with further details
Payment Methods

At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:

Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.

Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.

Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.

These options are designed to make the registration process as smooth and flexible as possible for all participants.

Status

Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.

Guaranteed on Next Booking – The course will proceed once an additional student registers.

Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.

Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.

Half and Full-Day Training

At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.

The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.

Download the course details. Click the button below.

REQUEST CUSTOM DELIVERY

REQUEST a Quote

Become An Expert By Practice – Get Your Hands On Labs

Don’t let your tech outpace the skills of your people

TRUSTED BY TOP COMPANIES LIKE IBM, DELOITTE, ERICSSON, AND MORE.
DISCOVER OUR CUSTOMER PORTFOLIO.

Dedicated to excellence, we cultivate strong partnerships with worldwide technology innovators.

Testimonials

What Our Clients Say

You’re all set!

Thanks for registering. Our training team will be in touch soon to confirm your class schedule and help you get started.