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GDPR और AI डेटा गोपनीयता अनुपालन

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Overview

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Learning outcomes

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Course content

1

Data Inventory Management

2

Consent Management Framework

3

Ai Model Transparency

4

Data Subject Rights Automation

5

Privacy Impact Assessment

Career Path

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Key facts

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Why this course

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This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Planning and Management
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for this course hoping to get a solid grounding in AI‑related data privacy, and it delivered exactly that – in a relaxed, easy‑to‑follow style. The videos broke down complex GDPR concepts into bite‑size pieces, and the cheat‑sheet on consent mechanisms was a lifesaver. I even used the anonymisation script from the practical lab to scrub a dataset for a university project. The materials felt relevant and up‑to‑date, and I left feeling confident enough to audit our department’s AI pipelines.

MC
Michael Carter
US · Course completed

The GDPR और AI डेटा गोपनीयता अनुपालन course perfectly aligned with my goal of mastering privacy compliance for AI systems. The modules on Data Protection Impact Assessments gave me a clear framework, and I was able to draft a DPIA template for a machine‑learning model I’m developing at work. The course materials are exceptionally up‑to‑date, featuring recent EU case law and practical worksheets that can be applied immediately. Overall, the instruction was professional and concise, and I feel fully equipped to ensure our AI projects meet GDPR standards.

AP
Ananya Patel
IN · Course completed

Wow! This course blew me away with its energy and hands‑on approach. I wanted to learn how to build AI chatbots that respect user privacy, and the lessons on drafting privacy notices and implementing “right to explanation” were spot‑on. The interactive quizzes kept me engaged, and the live lab where we integrated a consent banner into a demo chatbot was pure gold. The resources were fresh, with real‑world examples from recent European regulators. I’m now championing AI‑privacy compliance at my startup and couldn’t be happier.

ZD
Zanele Dlamini
ZA · Course completed

The GDPR और AI डेटा गोपनीयता अनुपालन programme offered a thorough and methodical deep‑dive into cross‑border data transfers and the use of Standard Contractual Clauses for AI services. I appreciated the detailed reading lists, the step‑by‑step guide to building a compliance checklist, and the case studies from both EU and African regulators. By the end of the course I could confidently draft a data‑transfer agreement for an AI analytics partnership and explain the nuances of the “right to be forgotten” in an AI context. The content was dense but well‑structured, making the learning experience both rigorous and rewarding.





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Recently updated!

May 2026