Executive Education Program
Responsible Agentic AI for Health (RAAH)
Course Description
The Responsible Agentic AI for Health (RAAH) Executive Education Program is a comprehensive learning initiative designed to demystify agentic artificial intelligence and enable its safe, ethical, and human-centered application in personal health and healthcare systems. The program introduces participants to AI agents that can assist with health monitoring, decision support, care coordination, and well-being management, while maintaining strict boundaries around safety, privacy, and accountability. RAAH emphasizes responsible design principles such as human-in-the-loop oversight, transparency, and bias awareness, which are especially critical when working with senior and vulnerable populations. Participants learn how agentic AI can support independent living, preventive care, and improved quality of life without replacing human judgment or clinical expertise. Through real-world healthcare use cases and guided hands-on exercises, learners develop the ability to conceptualize, design, and evaluate trustworthy health agents. The program also addresses ethical, legal, and societal implications, aligned with global healthcare and AI governance frameworks. Above all, the program positions AI as a supportive companion in health, not an autonomous authority.
Modules
Module 1: Introduction to AI
- Background and Overview
- Evolution of AI
- ML, DL, GenAI, Agents
- Understanding Your Health
Module 2: GenAI in Decision-Making
- Understanding Pros and Cons
- Tools and Prompting
- Case Building: Heart Health
- Group Activity
Module 3: GenAI in Research
- Literature Review and Idea Generation
- Research Design, Data Collection, and Analysis
- Writing, Reviewing, and Publishing
- Group Activity
Module 4: GenAI for Coding & Analysis
- Basics of Data Analysis
- Using GenAI with or without knowledge of R/Python
- Vibe Coding (Hands-on)
- Invited Speaker
Module 5: Building Your Health Agent
- Key Agent Frameworks
- Orchestrating Workflows with n8n
- Context Engineering
- Heart Health Agent
Module 6: Advanced Agent Design
- Designing Multi-agent Teams
- Training RL Agents for Continuous Optimization
- Mapping Multi-agent Workflows for You
- Invited Speaker
Module 7: Building Your Agentic AI Plan
- AI Readiness Assessment
- Health and Ecosystem Strategy
- Creating an AI Pilot Roadmap for You
- Group Activity
Module 8: Risks and Ethics of Agents
- Risk to Jobs, Society, and Bad Actors
- Regulatory Approaches, Ethical Implications, and Dilemmas
- Agents and Public Policy
- Group Activity
