AI+ Healthcare™ - eLearning (exam included)
225,00 EUR
- 15 hours
The AI+ Healthcare Certification provides a comprehensive understanding of how Artificial Intelligence is transforming healthcare. It covers the application of Machine Learning, Deep Learning, and neural networks to improve diagnostics, medical imaging, and personalized care. Participants will learn to use AI tools to support clinical decision-making and enhance patient outcomes. The program also explores key issues like data accuracy, patient privacy, and compliance, with a strong focus on ethical AI use. This certification equips professionals to harness AI's growing role in advancing healthcare delivery.
Key Features
Language
Course and material in English
Level
Beginner level (Category: AI+ Professional)
Access
1 year access to the platform 24/7
8 hours of video lessons & multimedia
15 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
Tools You’ll Master
PathAI, Viz.ai, Tempus Central, VirtuSense
About the course
Transform Healthcare with Cutting-Edge AI Solutions
- AI in Action: Discover how AI revolutionizes diagnostics, predictive analytics, and patient-focused care
- In-Depth Learning: Explore machine learning, natural language processing, and ethical use in medical contexts
- Real-World Relevance: Tackle challenges such as personalized treatment and improving operational workflows
- Compliance Ready: Gain insight into healthcare regulations and legal frameworks surrounding AI adoption
Why This Certification Is Important
Healthcare providers need certified experts who can innovate responsibly while safeguarding patient data and safety.
Learning Outcomes
At the end of this course, you will be able to:
Responsible AI Use in Education
Learn to identify and mitigate biases while promoting ethical and sustainable AI practices in the classroom
Educational Data Literacy
Use AI tools to interpret student data and improve learning personalization and effectiveness.
Integrating AI into Curriculum
Incorporate AI-driven resources to create dynamic and engaging learning experiences.
AI Solutions for Education
Apply AI technologies to streamline administrative tasks, enhance assessments, and support teaching strategies.
Course timeline
Foundations of Artificial Intelligence (AI) in Healthcare
Lesson 1
- 1.1 Fundamentals of Artificial Intelligence
- 1.2 AI in the Healthcare Ecosystem
- 1.3 Ethical and Regulatory Framework
Data Handling and AI Modeling
Lesson 2
- 2.1 Data Acquisition and Management
- 2.2 Preprocessing Techniques for Medical Data
- 2.3 Model Development and Validation
AI in Medical Imaging
Lesson 3
- 3.1 Introduction to Medical Imaging
- 3.2 AI Techniques in Imaging
- 3.3 Implementation and Future Trends
AI in Diagnostics and Predictive Analytics
Lesson 4
- 4.1 AI-powered Diagnostic Systems
- 4.2 Predictive Analytics in Healthcare
- 4.3 Challenges and Solutions
AI in Treatment Planning and Personalized Medicine
Lesson 5
- 5.1 Customized Treatment Solutions
- 5.2 Machine Learning Models in Treatment
- 5.3 Case Studies and Ethics
AI in Patient Monitoring and Care Management
Lesson 6
- 6.1 Wearable Technologies and IoT in Healthcare
- 6.2 Remote Patient Monitoring Systems
- 6.3 Impact on Healthcare Delivery
AI in Health Insurance and Healthcare Management
Lesson 7
- 7.1 AI in Health Insurance
- 7.2 Operational Efficiency in Healthcare
- 7.3 Future of AI in Health Systems
Advanced Topics and Future Directions in AI+ Healthcare
Lesson 8
- 8.1 Innovations in AI and Their Impact on Healthcare
- 8.2 Interdisciplinary Approaches
- 8.3 Preparing for the Future
AI Agents for Healthcare
Optional
- 1. What Are AI Agents for Healthcare
- 2. Applications of AI Agents in Healthcare
- 3. Aligned Examples
Industry Growth
Advancing Healthcare with Predictive & Personalized AI
- The global AI healthcare market is projected to grow at a 42.2% CAGR through 2030 (Source: Grand View Research).
- AI tools are reshaping healthcare delivery, research, and patient care by streamlining data analysis.
- Healthcare providers are increasingly adopting AI for predictive diagnostics and personalized treatment plans.
- Automation through AI is boosting operational efficiency and care management in hospitals and clinics.
- AI is transforming key areas like telehealth, electronic health records (EHR), and health informatics.
Who Should Enroll in this Program?
Healthcare Providers: Improve patient outcomes using AI-based diagnostic and support tools.
Data Analysts & Scientists: Apply AI to analyze healthcare data and build predictive models.
Medical Tech Experts: Use AI to enhance imaging accuracy and diagnostic efficiency.
IT & Systems Professionals: Strengthen healthcare systems with AI-driven infrastructure.
More Details
Prerequisites
- General knowledge of the healthcare field; no prior technical background needed.
- Willingness to think creatively and apply AI tools to healthcare scenarios.
- Curiosity to explore the possibilities, challenges, and impact of AI in healthcare.
- Strong motivation to understand and contribute to AI integration in the healthcare industry.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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