AI For Health Nursing Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a practical introduction to artificial intelligence in nursing, designed for healthcare professionals with no prior technical background. Over approximately 15-20 hours, learners will explore core AI concepts and their real-world applications in patient care, clinical decision-making, and workflow efficiency. The curriculum blends foundational knowledge with hands-on exercises and case studies relevant to modern nursing practice.
Module 1: Foundations of Computing & Algorithms
Estimated time: 4 hours
- Introduction to key concepts in foundations of computing & algorithms
- Review of tools and frameworks commonly used in practice
- Case study analysis with real-world examples
- Guided project work with instructor feedback
Module 2: Neural Networks & Deep Learning
Estimated time: 3 hours
- Introduction to key concepts in neural networks & deep learning
- Case study analysis with real-world examples
- Interactive lab: Building practical solutions
Module 3: AI System Design & Architecture
Estimated time: 4 hours
- Hands-on exercises applying AI system design & architecture techniques
- Interactive lab: Building practical solutions
- Guided project work with instructor feedback
- Assessment: Quiz and peer-reviewed assignment
Module 4: Natural Language Processing
Estimated time: 3 hours
- Hands-on exercises applying natural language processing techniques
- Interactive lab: Building practical solutions
- Discussion of best practices and industry standards
Module 5: Computer Vision & Pattern Recognition
Estimated time: 2 hours
- Hands-on exercises applying computer vision & pattern recognition techniques
- Discussion of best practices and industry standards
- Assessment: Quiz and peer-reviewed assignment
Module 6: Deployment & Production Systems
Estimated time: 2 hours
- Review of tools and frameworks commonly used in practice
- Hands-on exercises applying deployment & production systems techniques
- Guided project work with instructor feedback
Prerequisites
- Basic familiarity with nursing workflows and patient care
- No programming experience required
- Access to a computer with internet connection
What You'll Be Able to Do After
- Understand core AI concepts including neural networks and deep learning
- Apply AI tools to improve clinical decision-making and patient monitoring
- Evaluate model performance using appropriate metrics and benchmarks
- Enhance efficiency in nursing workflows through AI-powered solutions
- Design and deploy AI applications relevant to healthcare settings