Hands-On Learning

Gain practical experience through hands-on projects and real-world applications.

Expert Guidance

Learn from industry experts with years of experience in Generative AI research.

Flexible Schedule

Study at your own pace with our online platform, allowing you to balance work and learning effectively.

About the course

Generative AI is increasingly used across global and public health—from health education and behaviour-change communication to community outreach and resource development. Yet public health is a high-stakes environment: inaccurate or misleading content can cause real-world harm, amplify stigma, or erode public trust. This course provides a practical, safe, and ethically grounded introduction to responsible AI use in health communication and analysis. Through six structured modules, you will learn how AI interprets health information, where inaccuracies arise, and how to identify misinformation, fabricated statistics, or culturally insensitive content. You will practise co-authoring health materials with clear human oversight, prototyping education tools, reviewing outputs for stigma and bias, and applying governance protocols that align with WHO/Ministry of Health guidance. Built on the Six-Domain AI Capability Framework (2026 Edition), the course develops capability across literacy, co-agency, generative prototyping, ethics and equity, governance and safety, and reflective learning. You’ll receive downloadables, prompt packs, checklists, and tools that can be used immediately in your professional context. Designed for practitioners, students, and professionals across global and public health—no AI background required. Enrol now to build a safe, accurate, and ethical AI practice that strengthens public trust and supports effective health communication.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy and a digital education specialist with over 20 years of experience across higher education, research and digital innovation. His work focuses on turning emerging technologies into practical approaches to learning, analysis and knowledge creation. Through CloudPedagogy, he develops courses, open-source tools, interactive learning systems and applied projects exploring areas including generative and agentic AI, educational technology and digital learning design. His approach emphasises practical experimentation, transparency, critical judgement and responsible use of technology. CloudPedagogy is built around learning by understanding, building and applying: making complex ideas accessible while creating practical tools and workflows that demonstrate how they can be used in real-world contexts.

Curriculum

8 Chapters · 40 Lessons

    1. (Included in full purchase)

      Welcome to the Course

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      How This Course Works

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      Legal Disclaimer & Terms of Use

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      Module Purpose

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      Lesson 1 — How AI Interprets Health Information

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      Lesson 2 — Spotting Public Health Misinformation

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      Lesson 3 — Responsible Simplification of Health Content

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      Module Activity — Evaluate an AI-Generated Health Explainer

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      Module Download

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      Module Purpose

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      Lesson 1 — When AI Can Support Public Health Tasks (and When It Must Not)

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      Lesson 2 — Co-Authoring Workflows for Public Health Materials

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      Lesson 3 — Accountability & Public Trust in Health Information

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      Module Activity — Co-Write a Public Health Advisory

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      Module Download

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      Module Purpose

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      Lesson 1 — Visual & Text Prototyping for Health Education

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      Lesson 2 — Drafting Community Health Messages

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      Lesson 3 — Scenario Prototyping for Training & Preparedness

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      Module Activity — Produce a Draft Health Education Asset

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      Module Download

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      Module Purpose

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      Lesson 1 — Equity, Rights & Representation in Health Communication

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      Lesson 2 — Bias & Stigma Risks in AI Health Content

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      Lesson 3 — Predicting & Preventing Harmful Consequences

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      Module Activity — Audit an AI-Generated Health Communication Piece for Stigma and Bias

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      Module Download

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      Module Purpose

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      Lesson 1 — Boundaries: Where AI Must Not Operate

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      Lesson 2 — Governance Tools for Public Health AI

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      Lesson 3 — Escalation & Pause Mechanisms for Safety

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      Module Activity — Create a Governance Flow for AI-Supported Health Communication

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      Module Download

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      Module Purpose

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      Lesson 1 — Why Reflection Matters in Health Communication

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      Lesson 2 — Building Feedback Loops

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      Lesson 3 — Personal Public Health AI Improvement Plan

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      Module Activity — Mini-Retrospective of an AI-Supported Health Task

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      Module Download

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      WRAP-UP, CONSOLIDATION & NEXT STEPS