| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Intermediate |
| Duration | 3 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹4249 / $56 |
| Tools | Python Jupyter Notebook Google Colab Microsoft Excel Relevant Online Databases |
About the Data Privacy & Emerging Tech Regulations Course
This program addresses the critical challenges and opportunities at the intersection of data privacy and emerging technologies.
Participants will explore global data protection regulations, such as GDPR and CCPA, and their impact on technology-driven industries. The program also focuses on ethical considerations and compliance strategies for organizations adopting AI, IoT, blockchain, and other cutting-edge technologies.
Program Highlights
• Comprehensive coverage of Data Privacy from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Science & Technology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Science & Technology
• Career-oriented training for academic and professional growth in Science & Technology
Course Curriculum
Module 1: 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
Module 2: Compliance & Enforcement
- Session 1 : Building Organizational Data Protection Policies
- Session 2 : Role of Regulators & Enforcement Agencies
- Session 3 : Handling Data Breaches & Incident Response
Module 3: 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
Tools, Techniques, or Platforms Covered
Python Jupyter Notebook Google Colab Microsoft Excel Relevant Online Databases
Real-World Applications
- Apply Data Privacy skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical Science & Technology competencies
- Solve industry-relevant problems using Data Privacy methodologies and tools
- Contribute to open-source projects and collaborative research in Science & Technology
- Prepare for competitive examinations, interviews, and professional certifications in Science & Technology
Who Should Attend & Prerequisites
- Students pursuing degrees in Science & Technology, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into Science & Technology roles
- Researchers and academicians looking to adopt modern techniques in Science & Technology
- Entrepreneurs, freelancers, and self-learners interested in practical Science & Technology knowledge
Certification
