AI+ Healthcare Fundamentals™
- Price 109 EUR + VAT
- E-learning Start any time
- Duration 8 hours of content, self-paced
- Language English
- Prerequisite Basic networking knowledge, Python familiarity, fundamental AI/ML concepts
- Topic AI Healthcare
How you can take it
- E-learning Start any time · 109 EUR + VAT Order
- Open course Not available in this format
- Private in-house Any of our courses for your team Request a quote
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- Healthcare Transformation: Learn how AI reshapes predictive analytics, diagnostics, and patient-centric solutions
- Comprehensive Modules: Covers ML, NLP, and ethical healthcare applications
- Practical Impact: Address real challenges like personalised medicine and operational efficiency
- Regulatory Navigation: Understand compliance and legal standards for AI in healthcare
Prerequisites
Basic networking knowledge, Python familiarity, fundamental AI/ML concepts
Audience
Who is it for
Healthcare Professionals: Enhance patient care through AI-driven diagnostics and decision support.
Data Scientists & Analysts: Leverage AI for health data analysis and predictive modeling.
Medical Technologists: Implement AI solutions for improved medical imaging and diagnostics.
IT Specialists & System Integrators: Optimize healthcare infrastructure with AI-powered systems.
Students & New Graduates: Gain valuable AI healthcare skills to excel in a growing industry.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
Course Overview
- Course IntroductionPreview
Module 1: Introduction to AI in Healthcare
- 1.1 Fundamentals of Artificial Intelligence
- 1.2 AI in the Healthcare Ecosystem
- 1.3 Ethical and Regulatory Framework
Module 2: Data Handling and AI Modelling
- 2.1 Data Acquisition and Management
- 2.2 Preprocessing Techniques for Medical Data
- 2.3 Model Development and Validation
Module 3: AI in Medical Imaging
- 3.1 Introduction to Medical Imaging
- 3.2 AI Techniques in Imaging
- 3.3 Implementation and Future Trends
Module 4: AI in Diagnostics and Predictive Analytics
- 4.1 AI-powered Diagnostic Systems
- 4.2 Predictive Analytics in Healthcare
- 4.3 Challenges and Solutions
Module 5: AI in Treatment Planning and Personalized Medicine
- 5.1 Customized Treatment Solutions
- 5.2 Machine Learning Models in Treatment
- 5.3 Case Studies and Ethics
Module 6: AI in Patient Monitoring & Care Management
- 6.1 Wearable Technologies and IoT in Healthcare
- 6.2 Remote Patient Monitoring Systems
- 6.3 Impact on Healthcare Delivery
Module 7: AI in Health Insurance and Healthcare Management
- 7.1 AI in Health Insurance
- 7.2 Operational Efficiency in Healthcare
- 7.3 Future of AI in Health Systems
Module 8: Advanced Topics and Future Directions in AI+ Healthcare
- 8.1 Innovations in AI and Their Impact on Healthcare
- 8.2 Interdisciplinary Approaches
- 8.3 Preparing for the Future
Optional Module: AI Agents for Healthcare
- 1. What Are AI Agents for Healthcare?
- 2. Applications of AI Agents in Healthcare
- 3. Aligned Examples
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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