AI Data Security and Privacy (SF)
Training Provider: NTUC LEARNINGHUB PTE. LTD.
Course Reference: TGS-2026063488
S$900
Original: S$1,800
Save S$900
About This Course
This 2-day course introduces key principles of data privacy and security in AI, covering how AI processes personal data, consent, and explainability. It explores protecting AI systems through security controls and risk management, including data anonymization and privacy risks. Finally, the course addresses governance, compliance, and accountability, focusing on roles, communication, and ongoing monitoring to ensure responsible AI development.
What You'll Learn
Learning Outcomes:
LO1: Build a report on existing data protection measures in the organization for submitting to relevant stakeholders.
LO2: Implement Data Protection Management Program including roles and responsibilites.
LO3: Analyse AI systems for data privacy risks by applying key data privacy principles and practices.
LO4: Prepare inventory of personal data flows within the organization.
LO5: Communicate data protection policies, practices, and complaint processes to stakeholders across the AI model data lifecycle.
LO6: Create consent registry to manage consent.
LO7: Identify circumstances that require fresh consent for data collection.
LO8: Develop AI data-breach handling processes incorporating PDPA requirements and exemptions.
LO9: Adopt innovative compliance processes using the PDPA Assessment Tool for Organizations (PATO) to enhance regulatory adherence.
LO1: Build a report on existing data protection measures in the organization for submitting to relevant stakeholders.
LO2: Implement Data Protection Management Program including roles and responsibilites.
LO3: Analyse AI systems for data privacy risks by applying key data privacy principles and practices.
LO4: Prepare inventory of personal data flows within the organization.
LO5: Communicate data protection policies, practices, and complaint processes to stakeholders across the AI model data lifecycle.
LO6: Create consent registry to manage consent.
LO7: Identify circumstances that require fresh consent for data collection.
LO8: Develop AI data-breach handling processes incorporating PDPA requirements and exemptions.
LO9: Adopt innovative compliance processes using the PDPA Assessment Tool for Organizations (PATO) to enhance regulatory adherence.
Entry Requirements
Professional Qualification and Other Diploma
Candidates who do not meet the above requirements will be assessed on case by case basis.
Course Details
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