
edXAI and machine learning are transforming healthcare—but in healthcare more than most fields, the math matters less than the ethics and consequences. This course grounds technical concepts in real applications: how algorithms assist diagnosis, the bias risks they carry, the privacy regulations they must respect.
It's structured as a two-course program. Part one builds the foundation: AI/ML concepts, legal and ethical guardrails, data practices, and algorithms. Case studies show you both successes and failures, so you see not just what's possible, but what went wrong when implementation cut corners. Ideal for healthcare professionals learning the tech, technologists entering healthcare, or anyone evaluating AI solutions in clinical settings.
This course introduces you to how Artificial Intelligence (AI) and Machine Learning (ML) can be used to improve healthcare. This is the first course of a two course program. In this self-paced course, you'll be introduced to the fundamentals of AI and ML. The concepts, theories, and principles are tied to real-world healthcare applications and examples. Learn how these technologies enhance clinical and operational decision-making, while exploring the core principles of artificial intelligence and machine learning. Engage in current debates and discussions to understand the latest AI trends in healthcare. Stay updated with cutting-edge research as you discover how AI is transforming the future of healthcare. This course is suitable for anyone who wants to gain a solid foundation in AI and ML and its important implications within healthcare settings.
The course is comprised of 5 modules that you should complete in order, as each subsequent module builds on the previous one.
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.