Generative AI in Healthcare Course

Equip yourself with the knowledge and skills to harness generative AI responsibly and ethically Apply those skills using the course's Sandbox Environment Web Application, in a Secure Teaching Environment

Course (Part 2) The Responsible Use of Generative AI in Saudi Healthcare: Technical Safeguards and Strategies for PDPL-Compliant Al

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4 Chapters

52 Lessons

About the Course

The rules governing healthcare AI in Saudi Arabia are precise and enforceable, and they're your professional responsibility. This course covers the full regulatory-ethical-privacy stack: from PDPL provisions and SDAIA audit requirements to bioethical principles and vendor due diligence, giving you the tools to lead compliant AI adoption in your organization. Regulation without understanding is just paperwork. This course transforms PDPL, SDAIA, and MoH requirements into practical governance capabilities, equipping you to evaluate AI vendors, conduct impact assessments, and embed ethical principles into institutional AI policy. Grounded in Saudi regulatory architecture and benchmarked against global standards.

Navigate the Regulatory Landscape

Understand how PDPL, SDAIA regulations, MoH digital health governance, and NHIC standards work together to define what is permitted, restricted, and prohibited. From PDPL Article 29 on data residency to SDAIA's annual DPIA audits — learn the specific legal obligations that apply to every AI use case in your facility.

Lead With Ethical Clarity

Go beyond compliance checklists: assess AI through cultural and ethical lenses, address bias systematically, and build an ethical governance model your institution can sustain. Integrate the four ethical pillars: confidentiality, accountability, equity, and beneficence, into every AI decision, aligned with both global bioethics and principles.

Operationalize Data Protection

Use Saudi-specific evaluation criteria to assess AI providers on data residency, retention, audit trails, and contractual safeguards, before deployment, not after. Design the end-to-end workflow: DPO sign-off, DPIA completion, prompt sanitization gateways, sovereign infrastructure selection, and vendor scorecards.

Course Curriculum

4 Chapters · 52 Lessons

1
Data Privacy in Saudi Arabia PDPL and healthcare data protection
1. (Included in full purchase)
  Privacy as a National and Moral Imperative
2. (Included in full purchase)
  Introduction: Privacy as a National and Moral Imperative
3. (Included in full purchase)
  Data Subject Rights, Breach Duties, and Zero-Retention
4. (Included in full purchase)
  The PDPL: Core Principles for Healthcare
5. (Included in full purchase)
  Healthcare-Specific Guidance from Saudi Authorities
6. (Included in full purchase)
  Guidance for AI in Healthcare within the Kingdom
7. (Included in full purchase)
  PDPL vs. Global Frameworks
8. (Included in full purchase)
  Global Privacy Benchmarks: Lessons for Saudi Implementation
9. (Included in full purchase)
  PDPL vs. Global Privacy Frameworks: Key Differences in Healthcare Al
10. (Included in full purchase)
  Technical Strategies for PDPL-Compliant Al
11. (Included in full purchase)
  The Role of the Data Protection Officer (DPO)
12. (Included in full purchase)
  Operational Roadmap & Quick Wins for Hospitals
13. (Included in full purchase)
  Real-World Compliance Workflow: From Prompt to Publication
14. (Included in full purchase)
  Global Case Studies: Lessons from the Field
15. (Included in full purchase)
  Team Discussion - Prompts for PDPL-Ready AI
16. (Included in full purchase)
  Policy Horizon: Emerging Regulatory Trends
17. (Included in full purchase)
  Discussion & Implementation Tools
18. (Included in full purchase)
  Section References & Further Reading
19. (Included in full purchase)
  Assessment # 1
20. (Included in full purchase)
  Assessment # 2
21. (Included in full purchase)
  Open Response Discussion: What is our biggest PDPL compliance gap?
2
Do's & Don'ts Clear guidelines for safe use
1. (Included in full purchase)
  Introduction: Clarity as a Shield Against Risk
2. (Included in full purchase)
  The Professional Pledge
3. (Included in full purchase)
  The Foundational Principle
4. (Included in full purchase)
  The Professional Pledge
5. (Included in full purchase)
  Conceptual Framework: The AI Use Matrix
6. (Included in full purchase)
  Implementation Tools for AI
7. (Included in full purchase)
  Global Case Studies: Lessons from the Field
8. (Included in full purchase)
  Discussion & Implementation Tools
9. (Included in full purchase)
  Section References & Further Reading
10. (Included in full purchase)
  Assessment # 3
11. (Included in full purchase)
  Assessment # 4
12. (Included in full purchase)
  Open Response Discussion: What is the most common AI misuse in our department?
3
Ethical Principles Confidentiality, accountability, cultural & Islamic sensitivity
1. (Included in full purchase)
  Introduction: Ethics as the Operating System of Al
2. (Included in full purchase)
  Ethics as the Operating System of AI in Saudi Healthcare
3. (Included in full purchase)
  The Four Ethical Pillars
4. (Included in full purchase)
  Ethical Pillar 2: Accountability, The Illusion of Delegation
5. (Included in full purchase)
  Justice and Equity
6. (Included in full purchase)
  Ethical Pillar 3: Justice and Equity, Designing for the Margins
7. (Included in full purchase)
  Ethical Pillar 4: Beneficence and Non-Maleficence, Humility in the Face of Uncertainty
8. (Included in full purchase)
  The Ethical AI Lifecycle: Embedding Ethics at Every Stage
9. (Included in full purchase)
  The Corporate Ethics Landscape: Promises and Gaps
10. (Included in full purchase)
  Conceptual Framework: The Ethical Al Lifecycle & The Ethical Governance Model
11. (Included in full purchase)
  Policy Horizon: Emerging Ethical Standards
12. (Included in full purchase)
  Global Case Studies: Lessons from the Field
13. (Included in full purchase)
  Discussion Prompts for Teams: Ethical and Cultural Foundation
14. (Included in full purchase)
  Discussion & Implementation Tools
15. (Included in full purchase)
  Section References & Further Reading
16. (Included in full purchase)
  Assessment # 5
17. (Included in full purchase)
  Assessment # 6
18. (Included in full purchase)
  Open Response Discussion: Should Islamic scholars be involved in reviewing AI prompts?
4
Zero-retention Sandbox Environment
1. (Included in full purchase)
  AI Governance Sandbox Web Application

Meet Your Instructor

Dr. Ibrahim El-Chami is a researcher and technology entrepreneur with a PhD in sensors microfabrication for IoT and edge AI for sustainable smart city applications. He completed postdoctoral research at the University of British Columbia as a part of the Rogers-UBC smart 5G campus. Ibrahim advises governments on advancing responsible AI governance with a focus on agentic and embodied AI. He has authored AI governance frameworks for Canada, the EU, and other parts of the world, and developed responsible AI and AI safety curricula internationally. At UBC, Ibrahim collaborates with the DASH cluster on AI education initiatives for the Department of Medicine, contributing to curriculum design for DASH educational activities and events. He also supervises ECE students developing edge AI sensors for climate change monitoring and adaptation, supported by various NSERC Alliance grants. Ibrahim is a founding engineer at Agrobotic, Mostar Labs, and IoT-World with global project scopes, and has served as an AI consultant to the UN Food and Agriculture Organization. His work has been recognized with over 30 global awards in IoT and AI.

What People Are Saying

Discover how this course is transforming the way healthcare professionals engage with AI technology.

”

This course serves as the first stepping stone into the realm of generative AI in healthcare. Well thought-of.

Ali W.

Vancouver, Canada

”

The scope of this course is beyond any other programs and workshops I took. This course helped me think about patient biases not taken into account

Dr. Sadeghe H.

Senior Engineer, Google

”

The sandbox environment gave me hands-on insight about the course materials. I am able to apply what I learn immediately in a secure testing environment, without worrying about data retention with companies.

Dr. Mohamed B.

R&D project manager/leader, Germany

”