Fundamentals of Data Privacy : GDPR, CCPA & Compliance

Master Data Protection Fundamentals, Privacy Operations, Data Governance, Breach Management & AI Data Privacy

This course provides a comprehensive overview of data privacy, covering foundational principles and practical steps to implement privacy measures effectively in any organization. The course explores  following key topics

1. Key terms and definitions under Data Privacy

2. Privacy Principles and Data lifecyle

3. Data Discovery, where learners will understand how to identify and map personal data;

4. Data Subject Rights, exploring legal entitlements individuals have over their personal data

5. Privacy Impact Assessments (PIA), helping organizations assess privacy risks before processing data;

6. Data breach management, focusing on how to detect, respond to, and mitigate the impact of data breaches.

7. Privacy Enhancing Technologies, techniques designed to protect personal data by minimizing, anonymizing, or encrypting

8. AI and Data Privacy, examining the unique privacy challenges posed by artificial intelligence systems, including algorithmic transparency, automated decision-making rights, data training requirements, and AI-specific privacy compliance strategies

9. Cloud Privacy Fundamentals, covering essential privacy considerations for cloud computing environments, including shared responsibility models, data residency requirements, cross-border data transfers, vendor management, and cloud-specific privacy controls

Additionally, the course offers a step-by-step guide to establishing a data privacy program, from governance frameworks to compliance with privacy laws.

By the end of the course, learners will be equipped to do the following

1. Understand key concepts, principles, and importance of data privacy.

2. Learn global data privacy regulations like GDPR, CCPA, and frameworks like NIST, ISO 27701.

3. Identify types of personal data and sensitive data classifications.

4. Explore data subject rights and organizational responsibilities.

5. Understand Privacy by Design and Privacy by Default principles.

6. Learn about Privacy Impact Assessments (PIAs) and risk management.

7. Explore Privacy Enhancing Technologies (PETs) and data protection techniques.

8. Understand the role of consent, lawful processing, and data minimization.

9. Learn best practices for data security and breach response.

10. Gain insights into implementing a data privacy framework within organizations.

Through practical examples, real-world scenarios, and hands-on tools, learners will gain the confidence to drive data privacy initiatives in their organizations while fostering a culture of compliance and accountability.