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33 students
Artificial Intelligence (AI) in Health Care Certification
Hands-on Training in Healthcare Automation & Medical AI
Created byShri Durga Academy
Last updated 4/2026
English
What you'll learn
- Understand the fundamentals of Artificial Intelligence, Machine Learning, and Data Analytics in the context of healthcare.
- Learn how AI is used in disease prediction, diagnosis, and treatment planning.
- Gain knowledge of medical imaging and image analysis using AI (X-rays, CT scans, MRI).
- Understand the role of AI in Electronic Health Records (EHR) and health data management.
- Learn about wearable devices, IoT, and remote patient monitoring systems.
- Learn about wearable devices, IoT, and remote patient monitoring systems.
- Learn how AI supports public health, epidemiology, and disease outbreak prediction.
- Get an introduction to healthcare AI tools and basic programming for medical data analysis. Understand data privacy, cybersecurity, ethical, and legal issues i
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Course content
4 sections • 17 lectures • 1h 37m total length
Requirements
- The Certificate in Artificial Intelligence (AI) in Health Care is designed as a beginner-friendly program. The following are the basic requirements to enroll: Educational Qualification: Minimum 10+2 (Higher Secondary) in any stream (Science preferred but not mandatory). Graduates and healthcare professionals are especially encouraged to apply. Basic Computer Knowledge: Ability to use a computer, internet, email, and basic office software. Interest in Healthcare & Technology: A keen interest in healthcare, digital health, or artificial intelligence is essential. No Prior Programming Required: No previous coding or AI experience is mandatory. The course starts from fundamentals. Language Proficiency: Basic understanding of English (or Hindi + English, as per your teaching medium) to follow lectures and study materials. Learning Device: Access to a laptop/desktop or smartphone with a stable internet connection (for online or blended mode).
Description
Course Description – Certificate in Artificial Intelligence (AI) in Health Care
The Certificate in Artificial Intelligence in Health Care is a professionally designed program that introduces learners to the principles, tools, and real-world applications of AI in the medical and healthcare domain. This course provides a strong foundation in how artificial intelligence, machine learning, and data analytics are transforming modern healthcare systems, from disease prediction and medical imaging to hospital management and remote patient monitoring.
This course is suitable for students, healthcare professionals, nurses, paramedical staff, IT professionals, and researchers who wish to understand and apply AI technologies in healthcare settings. After successful completion, learners will be equipped with industry-relevant skills to support smart healthcare solutions, digital hospitals, and future healthcare innovations
Module 1: Introduction to AI in Healthcare
Definition, history, and evolution of AI
Difference between AI, Machine Learning, and Deep Learning
Importance of AI in modern healthcare
Benefits & limitations of AI
Current trends and global scenario
Indian healthcare landscape and AI adoption
Module 2: Basics of Machine Learning (ML)
Supervised, unsupervised, and reinforcement learning
Classification vs. regression
Training, testing, and validation
Overfitting, underfitting, model evaluation
Introduction to common ML algorithms used in healthcare:
Decision trees
Random forest
SVM
Neural networks
Logistic regression
Module 3: Deep Learning & Neural Networks
Artificial neural networks (ANN)
Convolutional neural networks (CNN) for image analysis
Recurrent neural networks (RNN) for sequential health data
Applications in radiology, pathology, ophthalmology
Module 4: Medical Data & Health Informatics
Electronic Health Records (EHR)
Health data formats (HL7, FHIR)
Big data in healthcare
Data collection, annotation & preprocessing
Data privacy & security in healthcare
Module 5: AI Applications in Healthcare
Clinical Applications
Disease prediction
Medical imaging analysis
Diagnosis support systems
Personalized treatment
AI in surgery (robotic surgery)
Non-Clinical Applications
Hospital workflow automation
Patient monitoring
Wearable devices
Telemedicine & remote care
Chatbots & virtual health assistants
Module 6: AI in Medical Specialties
AI in Radiology
AI in Cardiology
AI in Oncology
AI in Neurology
AI in Dermatology
AI in Ophthalmology
AI in Nursing
Module 7: Tools & Technologies
Python basics for healthcare AI
Introduction to AI libraries:
TensorFlow
Keras
PyTorch
Scikit-learn
Medical imaging tools:
OpenCV
DICOM tools
Who this course is for:
- The Certificate in Artificial Intelligence (AI) in Health Care is designed for individuals who wish to gain knowledge and practical skills in the rapidly growing field of AI-powered healthcare. This course is suitable for: Students from science, healthcare, IT, and allied health backgrounds Nurses, paramedical staff, and healthcare technicians Doctors and medical professionals interested in digital and AI-based healthcare tools IT professionals and data analysts looking to enter the healthcare AI domain Hospital administrators and health managers seeking to improve operations using AI Researchers and academicians in healthcare and technology fields Anyone interested in smart healthcare, digital health, and medical innovation No prior advanced knowledge of programming or AI is required. A basic understanding of computers and healthcare concepts is sufficient.