When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI Agents in Healthcare and Capstone

Ends tomorrow! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now

AI Agents in Healthcare and Capstone

This course is part of AI for Healthcare Systems Specialization

Instructor: Jiban Khuntia

Included with

Learn more

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments¹

AI Graded see disclaimer

Taught in English

91% of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the AI for Healthcare Systems Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

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.

Module details

Introduces the transition from static AI models to dynamic, agent-based systems in healthcare.

What's included

9 videos1 reading1 assignment

9 videosTotal 42 minutes

Diabetes Treatment with AI Modeling8 minutes
CKD Management with AI Modeling5 minutes
CVD Management with AI Modeling6 minutes
Why AI Agents are Needed to Make Models Work5 minutes
AI Agents - Delivering Actionable Solutions3 minutes
Function and Intelligence Aspects of AI Agents3 minutes
Interaction and Application Aspects of AI Agents3 minutes
Managing Potential Arrhythmias in Patients with an AI Agent4 minutes
Agent-Driven Personalized Insulin Dosing for Diabetic Patients4 minutes

1 readingTotal 60 minutes

Module 1 Background Materials60 minutes

1 assignmentTotal 30 minutes

Module 1 Quiz30 minutes

Focuses on the ethical, fairness, and design considerations essential for responsible health AI.

What's included

8 videos1 reading1 assignment

8 videosTotal 35 minutes

Optimized Outpatient Clinic Scheduling with Two Agents4 minutes
Multi-Agent Solution to Elective Surgery Scheduling Process4 minutes
Design Multi-Agent Systems in Healthcare - Key Takeaways3 minutes
The Waves of AI in Health: Models, Generative, Agentic4 minutes
AI Platforms in Healthcare: Waves and Integration4 minutes
Key Design Issues in Health AI6 minutes
Framework for Ethical Health AI Design Using Value-Sensitive Design (VSD): Part 14 minutes
Framework for Ethical Health AI Design Using Value-Sensitive Design (VSD): Part 26 minutes

1 readingTotal 60 minutes

Module 2 Background Materials60 minutes

1 assignmentTotal 30 minutes

Module 2 Quiz30 minutes

A practical, project-based module where students apply learned concepts to real-world AI in healthcare.

What's included

10 videos2 readings1 assignment

10 videosTotal 39 minutes

Transforming Healthcare Through AI: A Capstone Journey of Innovation and Insight5 minutes
Capstone Project: AI in Healthcare - Overview3 minutes
Project Proposal for the Capstone Project4 minutes
Project Proposal Evaluation Rubric4 minutes
Conceptual Design4 minutes
Conceptual Design Evaluation Rubric3 minutes
Execution Plan4 minutes
Execution Plan Evaluation Rubric5 minutes
Example: AI for Patient Engagement in Chronic Disease Management3 minutes
Example: AI for Predicting Surgical Complications4 minutes