Basics of AI in Healthcare

A Guide to AI in Healthcare: Machine Learning, Medical Data, Predictive Analytics, and Real-World Applications

Artificial Intelligence is revolutionizing the way we diagnose diseases, manage patient care, and design treatment strategies. In this beginner-friendly course, Basics of AI in Healthcare, you’ll explore how AI, machine learning, and data science are reshaping the future of medicine—one algorithm at a time.

Whether you come from a medical, technical, or research background, this course is designed to give you a solid foundation in how AI tools are used in clinical settings, diagnostics, imaging, hospital management, and beyond. You'll learn about key technologies like machine learning, deep learning, and natural language processing (NLP), as well as practical applications including disease prediction, robotic surgery, drug discovery, and mental health monitoring.

We’ll also dive into real-world case studies—such as IBM Watson in cancer care, AI-powered retinal screening tools, and hospital logistics during the COVID-19 crisis—so you can see the impact of AI in action. Alongside the technical insights, you’ll gain awareness of important issues like algorithmic bias, ethical dilemmas, legal frameworks, and data privacy regulations (HIPAA, GDPR).

No coding skills? No problem! This course focuses on concepts, use cases, and real-world understanding—not programming. By the end, you’ll be equipped to discuss, evaluate, and even contribute to AI-powered healthcare innovations.

So if you’re curious about the future of digital health and want to understand the forces transforming modern medicine—this course is the perfect place to begin.