Partner
Exam Preparation

AIN
AI+ Nurse
Artificial Intelligence for Nursing Practice

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English
Beginner to Advanced
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Course Overview

AI+ Nurse: Artificial Intelligence for Nursing Practice is a five-day programme with content aligned to the AI CERTs AI+ Nurse™ certification blueprint, designed for registered nurses, nurse leaders, clinical nurse specialists, advanced practice nurses, and nursing students. 

Over five days it builds capability across AI Foundations for Nursing; AI for Clinical Documentation & Workflow; AI

Fatma Z.
Instructional Design Specialist

Key Takeaways

1
→ Apply AI and machine-learning fundamentals to nursing practice.
2
→ Use AI to reduce documentation burden and streamline workflow.
3
→ Apply AI to patient monitoring, early warning, and decision support.
4
→ Support care planning, triage, and patient education with AI.
5
→ Practise AI safely and ethically with human-inthe- loop accountability.

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The Tipping Point

In today’s rapidly evolving world, AI and Blockchain technologies are transforming industries, but the skills gap is widening. Millions struggle to find accessible, real-world certification programs that truly prepare them for the future of work. The challenge is clear: How do we upskill global talent with relevant, practical knowledge that keeps pace with innovation? At AI CERTs®, we saw this urgent need and decided to act.

The Spark: Why AI CERTs® Was Born

We believe talent is everywhere, but opportunity is not. Our founders witnessed a common barrier: future-ready education in AI and Blockchain was often locked behind complicated, expensive, or outdated courses. That’s why AI CERTs® was created to offer role-based trusted artificial intelligence certificate programs and blockchain certifications that are accessible to every learner, no matter if they have a tech background or not.

Course Outline

Day 1
AI Foundations for Nursing

→ AI and machine learning for nurses, in plain language
→ How AI is reshaping modern nursing practice
→ Healthcare and nursing data sources
→ The EHR and no-code AI tools at the point
of care
→ Data literacy, privacy, and confidentiality
→ The AI-augmented nurse: opportunities and boundaries
→ Hands-On Lab: Participants explore nursing AI tools and identify where AI can support their shift.

Day 2
AI for Clinical Documentation & Workflow

→ Ambient AI scribes and voice documentation
→ Automating nursing notes and shift handovers
→ EHR efficiency and smart charting
→ Reducing administrative burden and burnout
→ Task, shift, and workflow optimisation
→ Verifying AI output for accuracy and safety
→ Hands-On Lab: Participants use an AI documentation tool to draft and verify a nursing note and handover.

Day 3
AI in Patient Monitoring & Decision Support

→ Predictive analytics for patient deterioration and early-warning scores
→ Remote and continuous patient monitoring
→ Sepsis, fall, and risk-prediction models
→ Clinical decision support at the bedside
→ Managing alarms and reducing alert fatigue
→ Patient-monitoring AI case studies
→ Hands-On Lab: Participants interpret an early warning prediction and plan an appropriate nursing response.

Day 4
AI in Care Planning, Triage & Patient Education

→ AI-assisted triage and acuity assessment
→ Personalised, data-informed care planning
→ Medication safety and administration support
→ Patient education and communication tools
→ Chronic-disease and population-health applications
→ Chatbots and virtual assistants for patients
→ Hands-On Lab: Participants design an AI-supported care plan and patient education approach for a case.

Day 5
Ethics, Safety, Governance & Implementation

→ Patient safety and verifying AI-generated outputs
→ Ethics, bias, and core nursing values
→ HIPAA, data privacy, and patient consent
→ Human-in-the-loop practice and accountability
→ Adopting AI confidently at the bedside
→ Change, advocacy, and the future of nursing AI
→ Hands-On Lab: Participants build a safe-adoption and advocacy plan for AI in their nursing unit.

Wrap-Up
Capstone, Assessment & Certification

→ Capstone project: applying the full five-day toolkit to a realistic AI in nursing practice scenario
→ Structured peer and facilitator review of each capstone deliverable
→ Post-programme competency assessment against the learning outcomes
→ Personal action plan for applying the learning in the workplace
→ Programme wrap-up, key takeaways, and
continued-development guidance
→ Capstone Presentation: Participants present their AI-Enabled Nursing Practice Capstone and receive structured feedback before certification.

Who Should Attend?

→ Registered Nurses & Senior Clinical Nurses

→ Nurse Practitioners & Advanced Practice Nurses

→ Nursing Managers & Ward Sisters

→ Chief Nursing Officers & Director of Nursing

→ Critical Care & Emergency Nursing Specialists

→ Community & Primary Healthcare Nurses

→ Nursing Educators & Clinical Training Officers

→ Perioperative & Theatre Nursing Professionals

→ Paediatric & Maternity Nursing Specialists

→ Any nursing professional seeking AI CERTs certification in AI-assisted patient care, clinical decision support, and digital nursing practice

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