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 Certified Information Privacy Professional CIPP U2369 QR Code
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Certified Information Privacy Professional (CIPP)



Certified Information Privacy Professional (CIPP) training is a comprehensive program designed to equip professionals with the knowledge and skills necessary to navigate the complex and evolving field of data privacy. In today's digital age, protecting personal and sensitive information is of paramount importance, and organizations around the world are seeking qualified experts who can help them comply with privacy regulations, mitigate risks, and build trust with their customers.

Course Objectives:

At the end of this course the participants will be able to:

  • Comprehensive Understanding

  • Regulatory Compliance: 

  • Risk Mitigation: 

  • Privacy by Design

  • Ethical Considerations

  • Global Perspective

Targeted Audience:

  • Privacy Officers

  • Legal Professionals

  • IT and Security Specialists

  • Compliance Officers

  • Data Protection Officers

  • Business Executives

Course Outlines:

Unit 1: Introduction to Data Privacy

  • Overview of data privacy concepts

  • Historical context and evolution of privacy laws

  • Key privacy principles

  • Introduction to relevant privacy regulations

Unit 2: Legal Framework and Compliance

  • In-depth exploration of major privacy laws (e.g., GDPR, CCPA)

  • Legal requirements for data processing

  • Data subject rights and obligations

  • Privacy impact assessments and compliance frameworks

Unit 3: Data Protection Practices

  • Data classification and mapping

  • Data retention and disposal strategies

  • Data breach response and notification

  • Consent and legitimate interests in data processing

Unit 4: Privacy Governance and Management

  • Role of Data Protection Officers (DPOs)

  • Developing and implementing privacy policies

  • Privacy by design and default

  • Vendor and third-party risk management

Unit 5: International Data Transfer and Emerging Trends

  • Mechanisms for international data transfer

  • Emerging trends in data privacy (e.g., AI, IoT)

  • Ethical considerations in data handling

  • Exam preparation and review

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