Certification Courses

Certification in AI in Healthcare Research (CAHR)

Master AI applications, healthcare research, and data-driven medical insights

54 Lessons 10th -12th Pass in any stream Certificate

About The Course

The Certification in AI in Healthcare Research is a comprehensive, flexible, and self-paced online learning program designed for students, researchers, healthcare professionals, and academicians seeking expertise in artificial intelligence in healthcare. This course provides practical knowledge in AI applications, healthcare analytics, medical data interpretation, research methodologies, and ethical AI practices, helping learners explore innovative solutions for modern healthcare research

Key Highlights of the Course:

  • Covers the core principles and methods of public health research.
  • Builds skills in epidemiology, study design, and data interpretation.
  • Focuses on evidence-based approaches to solving health challenges.
  • Strengthens understanding of ethical and responsible research practices.
  • Supports learners in applying research knowledge to real-world public health settings.

Key Features of the Course:

  • Public Health Fundamentals: Learn the core concepts of public health research.
  • Epidemiological Methods: Understand disease patterns and population health studies.
  • Research Applications: Explore practical public health research technique.
  • Ethical Research Practices: Learn responsible and ethical conduct in research.
  • Flexible Access: Learn anytime, anywhere.

Why you should join the course?

  • Future – Ready Skills: Gain expertise in public health research.
  • Career Growth: Enhance opportunities in health, research and policy fields.
  • Practical Knowledge: Learn real-world research applications.
  • Innovative Focus: Explore modern public health solutions.
  • Industry-Relevant Learning: Stay aligned with current public health trends.

Key Highlights:

  • AI applications in healthcare research
  • Machine learning and healthcare analytics
  • Medical data interpretation and insights
  • Ethical AI and healthcare practices
  • Flexible and self-paced online learning
Course Curriculum

Certification in AI in Healthcare Research (CAHR)

54 Lessons | 00 Hr 00 Min

What is Artificial Intelligence (AI)? History and evolution 00 Hr 00 Min
Types of AI (narrow AI, general AI, strong AI concepts) 00 Hr 00 Min
Overview of Machine Learning (ML) and Deep Learning (DL) 00 Hr 00 Min
Supervised, Unsupervised, and Reinforcement Learning 00 Hr 00 Min
Key concepts: data, features, labels, training, testing, validation 00 Hr 00 Min
Neural Network Basics (perceptron, activation functions, layers) 00 Hr 00 Min
Deep learning architectures (CNN, RNN – conceptual overview) 00 Hr 00 Min
AI applications in healthcare: overview and examples 00 Hr 00 Min
Current trends and future directions in AI for healthcare 00 Hr 00 Min

Types of healthcare data: EHR (Electronic Health Records), imaging, genomics, lab results, vitals, wearable sensors 00 Hr 00 Min
Data sources and databases in healthcare 00 Hr 00 Min
Data quality, preprocessing and cleaning 00 Hr 00 Min
Data anonymization and de-identification 00 Hr 00 Min
Data standards (HL7, FHIR -intro) 00 Hr 00 Min
Role of intelligent systems in clinical workflows 00 Hr 00 Min
AI in clinical decision support system (CDSS) 00 Hr 00 Min
AI in hospital management and resource optimization 00 Hr 00 Min
Case studies: AI in diagnostics, patient monitoring, and care. 00 Hr 00 Min

Supervised learning algorithms (linear regression, logistic regression, decision trees, SVM -conceptual) 00 Hr 00 Min
Unsupervised learning (clustering, dimensionality reduction – conceptual) 00 Hr 00 Min
Model training, validation, and testing 00 Hr 00 Min
Overfitting, underfitting, and generalization 00 Hr 00 Min
Evaluation metrics: accuracy, precision, recall, F1-score, ROC curve, AUC 00 Hr 00 Min
AI in medical imaging (X-ray, CT, MRI, ultrasound) 00 Hr 00 Min
AI in disease diagnosis and risk prediction 00 Hr 00 Min
AI in drug discovery and development 00 Hr 00 Min
AI in genomics and precision medicine 00 Hr 00 Min
AI in wearable devices and remote patient monitoring 00 Hr 00 Min

AI in diagnostic radiology (X-ray, CT, MRI, ultrasound) 00 Hr 00 Min
AI in pathology and histopathology 00 Hr 00 Min
AI in ophthalmology (retinal imaging) 00 Hr 00 Min
AI in cardiology (ECG, echocardiography) 00 Hr 00 Min
AI in dermatology (skin lesion images) 00 Hr 00 Min
AI in bio signals and wearable data. 00 Hr 00 Min
AI in clinical trial design and patient recruitment 00 Hr 00 Min
AI in drug repurposing 00 Hr 00 Min

Ethics of AI in healthcare: Bias and fairness in AI models Explainability and interpretability Accountability and responsibility 00 Hr 00 Min
Data privacy and protection (HIPAA-like concepts, GDPR-like concepts, Indian context) 00 Hr 00 Min
Informed consent in AI-based healthcare 00 Hr 00 Min
Regulatory frameworks for AI as medical device: FDA, EMA, CDSCO (intro) 00 Hr 00 Min
Clinical validation and safety of AI systems 00 Hr 00 Min
Translational research: from lab to bedside 00 Hr 00 Min
Challenges in implementing AI in healthcare settings 00 Hr 00 Min
AI governance and institutional policies 00 Hr 00 Min

Designing an AI research project in healthcare 00 Hr 00 Min
Defining research questions and objectives 00 Hr 00 Min
Data Collection and Preparation plan 00 Hr 00 Min
Model selection and justification 00 Hr 00 Min
Validation and evaluation plan 00 Hr 00 Min
Implementation roadmap in healthcare settings 00 Hr 00 Min
Stakeholder engagement (clinicians, administrators, patients) 00 Hr 00 Min
Cost-benefit analysis and feasibility 00 Hr 00 Min
Communication of AI results to non-technical audiences. 00 Hr 00 Min
Presenting AI research and publishing 00 Hr 00 Min

Student Reviews

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Certification in AI in Healthcare Research (CAHR)
₹6,000
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This Course Includes
  • 54 Lessons
  • 10th -12th Pass in any stream
  • Certificate
  • Lifetime Access