This course begins by exploring agentic AI and AI-driven agents in healthcare, focusing on their role in automation, decision support, and system optimization. Learners will understand how these AI-driven systems enhance healthcare processes before applying their knowledge in a capstone project. Participants will design a comprehensive AI-driven healthcare plan, execute key components, and develop a structured implementation strategy. The course culminates in a detailed report outlining execution insights and future steps for AI integration in healthcare.



AI Agents in Healthcare and Capstone
This course is part of AI for Healthcare Systems Specialization

Instructor: Jiban Khuntia
Access provided by American University of Bahrain
Recommended experience
What you'll learn
Understand the role of agentic AI and AI-driven agents in healthcare exploring their impact on automation, decision-making, and system optimization.
Apply theoretical concepts to real-world healthcare challenges, designing and executing a capstone project that addresses issues for patient care.
Develop a comprehensive AI-driven healthcare strategy.
Skills you'll gain
Details to know

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September 2025
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There are 3 modules in this course
Introduces the transition from static AI models to dynamic, agent-based systems in healthcare.
What's included
9 videos1 reading1 assignment
Focuses on the ethical, fairness, and design considerations essential for responsible health AI.
What's included
8 videos1 reading1 assignment
A practical, project-based module where students apply learned concepts to real-world AI in healthcare.
What's included
10 videos2 readings1 assignment
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