Programme Parameters
Graduate / Intermediate
3 Weeks (30 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Data Privacy & Emerging Tech Regulations equips you to navigate one of the fastest-moving areas of law and compliance. You learn the foundations of data-protection law — principles, rights and obligations under the GDPR, the DPDP Act and other global regimes — and how they apply in practice. The course then turns to the frontier: the emerging regulation of AI, biometrics, IoT and other technologies, and the compliance and governance practices organisations need to keep pace. Practical throughout, it connects legal requirements to real operational decisions. You finish able to reason about privacy and tech-regulation compliance. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course covers data privacy and emerging-technology regulation — GDPR and global privacy laws, and the evolving rules governing AI, biometrics and connected technologies.
📋 Course Objectives
1. Explain core data-protection principles and rights.
2. Apply GDPR, DPDP and global privacy regimes.
3. Understand emerging AI and biometrics regulation.
4. Build privacy and compliance practices.
5. Connect regulation to operational decisions.
👥 Who Should Enroll?
• Privacy, legal and compliance professionals
• Data-protection officers and governance staff
• Technology and product teams
• Students of law and technology
🚀 Key Learning Outcomes
• An understanding of data-privacy and tech regulation.
• The ability to reason about compliance.
• A practical governance perspective.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Data Protection Fundamentals
Session 1 : Understanding Personal & Sensitive Data • Session 2 : Overview of Indian Data Protection Laws (e.g., PDP Bill/Act) • Session 3 : Global Frameworks (GDPR, CCPA) & Comparative Insights
Compliance & Enforcement
Session 1 : Building Organizational Data Protection Policies • Session 2 : Role of Regulators & Enforcement Agencies • Session 3 : Handling Data Breaches & Incident Response
Emerging Tech & Policy Updates
Session 1 : Regulating AI & Other Advanced Technologies • Session 2 : Cross-Border Data Flows & Jurisdiction Challenges • Session 3 : Future Policy Directions & Case Study Discussions
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Microsoft Excel |
| Covered Tool / Platform | Relevant Online Databases |
Frequently Asked Questions
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