COURSE · FOUNDATIONS PATHWAY
Foundations of Artificial Intelligence in Healthcare
An introductory course covering how AI is used in modern healthcare delivery, its capabilities, limitations, and the foundational concepts every health professional should understand before using AI-assisted tools.
Duration
Format
Level
Certificate
Course Modules
Module 1: What Is AI in Healthcare?
An overview of AI terminology, common tool categories, and where AI is already being used in African health systems.
Module 2: Clinical Decision Support Basics
How AI-assisted diagnostic and decision-support tools work, and what they can and cannot do.
Module 3: Data, Privacy, and Patient Trust
Understanding patient data handling and why responsible use matters for AI adoption in care settings.
Module 4: Bias, Limitations, and Safety
Recognizing where AI tools can fail or reflect bias, and how to apply clinical judgment alongside them.
Module 5: AI Tools in Practice
Hands-on exposure to common AI-assisted workflows relevant to clinical and administrative roles.
Module 6: Capstone Reflection
Applying course concepts to a real scenario from your own work context, reviewed by faculty.
Your Instructor
Dr. Amara Kollie — Physician and clinical informaticist with over a decade of experience integrating decision-support tools into hospital workflows across West Africa.
Ready to Begin?
Applications are reviewed on a rolling basis. Most applicants hear back within two business days.