Training Course on The Future of Data Privacy Regulations

Training Course on The Future of Data Privacy Regulations

Introduction

As the digital economy expands, data privacy regulations have become a central pillar in global tech governance. With evolving frameworks like the GDPR, CCPA, and emerging laws from countries across Asia, Africa, and Latin America, organizations must stay ahead of the curve. Training Course on The Future of Data Privacy Regulations explores how future data protection regulations will reshape the operational, legal, and strategic landscape, highlighting the importance of compliance, data ethics, and cross-border data governance.

The rapid adoption of AI, blockchain, and cloud computing raises critical questions about data ownership, security, and accountability. This training empowers professionals with actionable insights into regulatory trends, global privacy laws, cybersecurity alignment, and ethical frameworks, providing a roadmap for navigating tomorrow's data privacy challenges with confidence and foresight.

Course Objectives

1. Understand the evolution of global data privacy laws.
2. Analyze upcoming data compliance trends across jurisdictions.
3. Interpret the implications of AI and emerging tech on privacy.
4. Learn to conduct privacy impact assessments.
5. Evaluate cross-border data transfer regulations.
6. Explore data sovereignty and localization policies.
7. Design privacy-by-design frameworks for products/services.
8. Strengthen organizational cybersecurity and privacy policies.
9. Recognize key data subject rights and obligations.
10. Develop strategies for regulatory risk management.
11. Assess the role of ethical data governance.
12. Identify and prepare for sector-specific compliance mandates.
13. Equip teams with tools for ongoing privacy training and awareness.

Target Audience

1. Chief Privacy Officers (CPOs)
2. Data Protection Officers (DPOs)
3. Legal and Compliance Teams
4. IT and Cybersecurity Professionals
5. Risk and Governance Analysts
6. Product Managers in Tech Companies
7. Policymakers and Regulators
8. Consultants and Legal Advisors

Course Duration: 5 days

Course Modules

Module 1: Foundations of Global Data Privacy

• Evolution of global privacy regulations
• Key differences between GDPR, CCPA, and others
• Regulatory bodies and enforcement agencies
• Definitions: personal data, processing, consent
• Overview of privacy principles (transparency, accountability)
• Case Study: Google vs. CNIL – GDPR fine for consent violations

Module 2: Emerging Data Privacy Trends

• Anticipated laws: India, Brazil, and Africa’s data acts
• Shift from compliance to data ethics
• Integration of ESG with data privacy
• Rise of industry-specific data regulations
• Future of privacy in the Metaverse and Web3
• Case Study: Meta’s policy shift under global scrutiny

Module 3: Privacy and Artificial Intelligence

• AI governance and data privacy intersections
• Algorithmic bias and automated decision-making
• Role of consent in AI-driven processes
• Legal accountability in AI systems
• Ensuring data minimization in ML pipelines
• Case Study: Facial recognition bans and regulatory action in the EU

Module 4: Cross-Border Data Transfers

• Legal frameworks: SCCs, BCRs, and adequacy decisions
• Challenges of international cloud providers
• Impact of Schrems II and data localization
• Contractual clauses and third-party management
• Harmonizing global compliance strategies
• Case Study: TikTok's compliance pivot to avoid EU sanctions

Module 5: Privacy by Design and Default

• Embedding privacy into product lifecycle
• Role of privacy engineering teams
• Creating user-centric consent experiences
• Managing data retention and deletion protocols
• Tools and technologies for automation
• Case Study: Apple’s privacy-centric app policies

Module 6: Risk, Security, and Incident Response

• Cybersecurity alignment with data laws
• Privacy risk assessment and control frameworks
• Breach notification protocols and timelines
• Third-party and vendor risk evaluation
• Data encryption and anonymization standards
• Case Study: Marriott International data breach & legal consequences

Module 7: Sectoral and Industry-Specific Privacy Norms

• Health data privacy (HIPAA, HITECH)
• Financial data regulation (GLBA, PSD2)
• Education sector standards (FERPA, EdTech policies)
• Telecommunications and IoT data controls
• Ad tech and behavioral tracking constraints
• Case Study: Zoom’s regulatory challenges in education & healthcare

Module 8: Building a Privacy-First Culture

• Employee privacy training programs
• Internal policy development and auditing
• Creating a sustainable privacy culture
• Stakeholder engagement and transparency
• Tools for compliance tracking and reporting
• Case Study: Microsoft’s enterprise-wide privacy training initiative

Training Methodology

• Interactive lectures and multimedia presentations
• Real-life case study analysis for each module
• Hands-on workshops and regulatory simulations
• Group discussions and scenario planning exercises
• Quizzes, assessments, and certification tests

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.