Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Artificial Intelligence (AI) in Healthcare, Plain & Simple
Rating: 4.5 out of 5(1,747 ratings)
6,442 students

Artificial Intelligence (AI) in Healthcare, Plain & Simple

From AI Fundamentals to Agentic AI: Building the Foundation Healthcare Professionals Need for the Future
Created byThomas Giordano
Last updated 6/2026
English

What you'll learn

  • Understand how Artificial Intelligence evolved from early rule-based systems to Machine Learning, Generative AI, ChatGPT, and Agentic AI
  • Explain the core concepts behind modern AI technologies without requiring a technical or programming background
  • Evaluate the opportunities, limitations, risks, and future potential of AI in healthcare
  • Build a foundation for making informed decisions about emerging AI technologies throughout your healthcare career

Course content

5 sections • 10 lectures • 2h 22m total length

  • Introduction3:06

    Explore how artificial intelligence differs from rule-based computing, how mentoring guides AI to learn and predict using tools, and see practical healthcare and business examples.

  • Historical Perspective of AI Technology19:59

    Trace the historical perspective of AI technology, from Alan Turing's breakthroughs to cinema's depictions, and examine computing power, big data, and hype cycle shaping healthcare, medical decision making, and diagnostics.

  • Ruled Based Computing Engines19:22

    Clarify what artificial intelligence is and isn't, contrast traditional computing with AI, describe rule-based engines, probabilistic reasoning, health care examples like grade mapping and symptom checkers, plus machine learning.

  • From Traditional Computing to Machine Learning19:25

    Explore how artificial intelligence learns from input data and output data, using pattern recognition and image processing tools for health care applications.

Requirements

  • There are no course requirements or prerequisites. This course in a foundation course.

Description

Artificial Intelligence is transforming healthcare, yet many healthcare professionals struggle to understand what AI really is, how it evolved, and what it may mean for the future of healthcare.

This course is designed to help you build a practical foundation in Artificial Intelligence so you can better understand today's technologies—and evaluate the innovations that will emerge tomorrow.

Using plain language and real-world examples, I explain how AI evolved from early rule-based systems to machine learning, Generative AI, ChatGPT, and emerging Agentic AI technologies. Along the way, you'll learn how machines learn from data, why AI behaves differently from traditional computer systems, and where both the strengths and limitations of AI originate.

No technical background or programming experience is required. I assume no prior knowledge and focus on helping you understand concepts rather than algorithms or coding.

While the course explores current healthcare applications, its primary goal is to help you develop a framework for thinking about AI. Technology will continue to evolve rapidly, but a solid understanding of the underlying principles will help you evaluate new tools, assess opportunities and risks, and make more informed decisions throughout your career.

In this course, you will learn:

    • How Artificial Intelligence evolved from traditional rule-based systems to modern AI

    • The differences between traditional computing and AI systems

    • The fundamentals of machine learning and why data matters

    • How Generative AI, ChatGPT, and Agentic AI fit into the broader AI landscape

    • Common misconceptions, limitations, and risks associated with AI

    • Why AI systems can produce inaccurate or misleading results

    • Current and emerging healthcare applications of AI

    • The opportunities and challenges AI presents for healthcare organizations, providers, and patients

By the end of this course, you will have a practical understanding of AI's evolution, current capabilities, and future direction—providing a foundation that will help you navigate one of the most significant technological transformations in healthcare.

Who this course is for:

  • Healthcare professionals who want to understand AI and its growing impact on healthcare
  • Healthcare leaders and administrators evaluating the opportunities and challenges of AI
  • Students pursuing healthcare, healthcare informatics, health information management, public health, or related disciplines
  • Clinicians interested in understanding ChatGPT, Generative AI, and emerging Agentic AI technologies
  • Anyone seeking a practical, non-technical introduction to AI in healthcare

Report abuse