Ultimate Privacy by Design Data Protection Course(GDPR,LGPD)

BY
Udemy

Learn about the fundamental ideas related to privacy by design to prepare for the GDPR, LGPD, and CCPA examinations.

Mode

Online

Fees

₹ 2999

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

A methodology called Privacy by Design promotes the proactive integration of privacy into company operations, internet infrastructure, and IT programming model. A compliance paradigm provides one a greater sense of safety in this complicated business world. Roland Costea, the Chief Security Officer at SAP, designed the Ultimate Privacy by Design Data Protection Course(GDPR, LGPD), which is presented by Udemy.

Ultimate Privacy by Design Data Protection Course(GDPR, LGPD) online training is intended for candidates seeking a thorough curriculum that may help them understand the concepts and principles of privacy design for data protection operations. Ultimate Privacy by Design Data Protection Course(GDPR, LGPD) online course provides 6 hours of video-based lessons along with 8 downloadable resources and 4 articles that discuss topics like risk management, risk analysis, information flow, information collecting, information processing, privacy analysis, privacy interest and more.

The highlights

  • Certificate of completion
  • Self-paced course
  • 6 hours of pre-recorded video content
  • 4 articles
  • 8 downloadable resources

Program offerings

  • Online course
  • Learning resources
  • 30-day money-back guarantee
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 2,999
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of law Processing information Risk management

After completing the Ultimate Privacy by Design Data Protection Course(GDPR,LGPD) online certification, candidates will gather a comprehensive understanding of the foundational concepts of GDPR and LGPD for data protection and will acquire the knowledge of the principles associated with privacy by design, data security, privacy interest. Candidates will explore the concepts like identifiability, centralization, information dissemination, invasions, information processing, information collection, information flow, and architecture redux. Candidates will learn about methodologies involved with risk analysis, quantitative risk management, privacy analysis, and privacy data-oriented strategies.

The syllabus

Introduction

  • Introduction - Why Privacy by Design is extremely important
  • What you will learn in this course?
  • IAPP certification learning plan - CIPT, CIPM, CIPP/E
  • Powerpoint Presentations for download

Privacy by Design generalities and principles!

  • How was privacy by design adopted during time!
  • Privacy by Design Principle 1
  • Privacy by Design Principle 2
  • Privacy by Design Principle 3
  • Privacy by Design Principle 4
  • Privacy by Design - Principles 5, 6 and 7
  • Are there any challenges?
  • It is extremely important to include privacy from early stages!

Let's define a privacy by design Model!

  • What is this section about?
  • Individuals
  • Important Actors
  • Links and Relationships
  • Privacy by Design - Example 1
  • Privacy by Design - Example 2
  • Privacy by Design - Example 3
  • Violations - Overview
  • Information collection
  • Information processing (part 1)
  • Information processing (part 2)
  • Information dissemination (part 1)
  • Information dissemination (part 2)
  • Invasions
  • Centralization
  • Identifiability

Privacy by Design Model - Data Oriented Strategies

  • Privacy Data-Oriented Strategies - Separate
  • Privacy Data-Oriented Strategies - Minimize (part 1)
  • Privacy Data-Oriented Strategies - Minimize (part 2)
  • Privacy Data-Oriented Strategies - Hide
  • Privacy Data-Oriented Strategies - Abstract
  • Privacy Process-Oriented Strategies - Enforce
  • Privacy Process-Oriented Strategies - Demonstrate
  • Privacy Process-Oriented Strategies - Inform
  • Privacy Process-Oriented Strategies - Control
  • Architecture Redux
  • Information Flow
  • Domains and Subdomains
  • App example
  • Exercises

Privacy Analysis - The FAIR method for privacy risk

  • Risk Analysis from Privacy perspective
  • A FAIR method for privacy risk
  • What is Frequency?
  • Vulnerability
  • Magnitude
  • How to apply controls (part 1)
  • How to apply controls (part 2)
  • Risk at the organization level
  • Quantitative Risk Management - example 1 (part 1)
  • Quantitative Risk Management - example 1 (part 2)
  • App Example
  • Exercises

Let's create the privacy by design Methodology!

  • The purpose of this methodology!
  • Quality Attributes
  • Identify Information Needs
  • Imposing Controls - Architect & Secure
  • Imposing Controls - Supervise & Balance
  • Online Behavioral Advertising & Mobile Phone monitoring
  • Integrating privacy by design into the business
  • How the methodology meets the initial principles
  • The App under the methodology
  • Final Exercises

Bonus - Remember my first promise to you?

  • Bonus - Remember my first promise to you? Learning plan differences

Instructors

Mr Roland Costea

Mr Roland Costea
Chief Security Officer
Udemy

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