• Made with Love in India
  • Made with Love in India

Course Description

The AI in Healthcare course is designed to introduce learners to the revolutionary impact of Artificial Intelligence on the medical and healthcare ecosystem. From AI-powered diagnosis and drug discovery to personalized treatment and robotic surgeries, you will explore how technology is reshaping the way healthcare professionals deliver services.

This course covers fundamental AI concepts, real-world applications, data-driven decision-making, and the ethical and regulatory aspects of using AI in healthcare. Learners will gain insights into how AI algorithms are trained using medical data, how predictive analytics helps in disease prevention, and how automation enhances hospital efficiency.

By the end of this course, you’ll understand not just how AI is applied in healthcare but also how to evaluate and implement AI-driven solutions responsibly. Whether you are a healthcare professional, tech enthusiast, or data analyst, this course will help you stay ahead in one of the fastest-growing fields in the world.


What you'll learn in this course

  • Fundamentals of Artificial Intelligence and Machine Learning in healthcare

  • Applications of AI in medical imaging, diagnostics, and treatment planning

  • Predictive analytics for disease detection and patient outcomes

  • AI in hospital management and workflow automation

  • Natural Language Processing (NLP) in electronic health records

  • Ethical, legal, and data privacy concerns in AI healthcare systems

  • Real-world case studies of AI implementation in healthcare

Requirements

  • Basic understanding of healthcare systems or medical processes (helpful but not mandatory)

  • Interest in Artificial Intelligence and its applications

  • Familiarity with data or technology concepts is an advantage

  • A computer or device with internet access to participate in online lessons and activities

Curriculum

  • 7 Lessons
  • 420 mins.
  • Understanding Artificial Intelligence and Machine Learning Fundamentals
  • Evolution and Role of AI in Modern Healthcare
  • Overview of Healthcare Data: Structure, Types, and Challenges
  • The Impact of AI on Global Healthcare Systems and Innovation
  • Electronic Health Records (EHR) and Data Management
  • Data Collection, Cleaning, and Preprocessing in Healthcare
  • Working with Medical Images, Genomic, and Sensor Data
  • Ensuring Data Security, Privacy, and Compliance (HIPAA, GDPR, etc.)
  • Supervised and Unsupervised Learning for Medical Predictions
  • Predictive Analytics for Disease Detection and Prevention
  • AI Models for Diagnosis and Risk Assessment
  • Case Studies: AI in Early Detection of Cancer, Diabetes, and Heart Diseases
  • Introduction to Neural Networks and Deep Learning
  • Computer Vision in Radiology and Pathology
  • AI in MRI, CT Scans, and X-Ray Analysis
  • Real-World Tools and Platforms for Medical Imaging AI
  • Principles and practical considerations for integrating AI into clinical workflows
  • Best practices of AI applications to promote fair and equitable healthcare solutions
  • Challenges of regulation of AI applications and which components of a model can be regulated
  • What standard evaluation metrics do and do not provide
  • Wearable Devices and Real-Time Health Tracking
  • AI in Remote Patient Monitoring and Telemedicine
  • Predictive Health Alerts and Smart Healthcare Systems
  • Robotics and Automation in Surgery and Elderly Care
  • Introduction to NLP and Clinical Text Analysis
  • AI in Electronic Health Records and Clinical Documentation
  • Chatbots and Virtual Health Assistants
  • Sentiment and Trend Analysis in Public Health Data

Your Instructor

Team

Skill Pathshala Team

Advanced Educator

Skill Pathshala is an online learning community with thousands of classes for creative and curious people, on topics including illustration, design, programming, photography, video, freelancing, and more. On Skill Pathshala, members come together to find inspiration and take the next step in their creative journey.