PRE-MADE COURSES THAT INTEGRATE WITH YOUR ORGANIZATION'S LEARNING MANAGEMENT SYSTEM

Subject Domains

UI/UX

Target Audience: Marketing, Product Designers, UI/UX, Front-End Developers, Interface Designers, Product Managers, Privacy Professionals

Engineering

Target Audience: Software Architects, Product Designers, Software Engineers, Product Managers, Security Engineers, Privacy Engineers and other Technologists, Database designers and architects

Privacy Design

Target Audience: Privacy Engineers and other Privacy Professionals, Software Developers, Managers, Architects and Engineers.

 

D100 and D101 courses suitable for all audiences. 

A brief introduction into why privacy design is important for organizations.

D111 - Privacy Design Strategies

This lesson covers the Hoepman Privacy Design Strategies and Tactics.

D121 - Threat Modeling

Threat modeling covers the basics of identifying at-risk individuals, high risk sub-groups and threat actors.

D131 - Privacy Risk

This course covers the basic factors in the FAIR for Privacy risk analysis model. Light introduction to quantification.

D101 - Privacy Harms

Solove’s Taxonomy of Privacy in a normative framework for discussing privacy harms.

D211 - Design Process

While design strategies help mitigate specific risks, the design process is a holistic approach to overall design

D211 - Proxies and Agents

This course dives deeper into the notion of proxies (of at-risk individuals) and agents (acting on behalf of threat actors

D231 - Mitigating Risks

Learn how to mitigate risk factors with the Hoepman Strategies and Tactics (D111)

D201 - Models of Privacy Norms

This lesson extends the privacy harms to discuss other models of privacy norms beyond Solove.

Did you know that the full suite of Design courses are available as part of our Professional Development course offered multiple times a year? 

 

 

D321 - Diagramming Threats

This high-level course goes through a myriad of examples to diagram the threat landscape and uncover threats.

D331 - Quantitative Risk Assessment

Dive deeper than D131 in quantifying privacy risks, comparing pre and post control risks, and assessing organizational risk tolerance

U101 - Data Minimization

This lesson covers concepts in form design to minimize the information you collect.

U102 - Consent

Consent is an ill-understood concept. This lesson explores consent, when it’s necessary and how to obtain proper consent.

U103 - Deceptive Designs

Many interfaces can be subtly or purposefully manipulative. This lesson covers the many forms of manipulation and how to avoid them.

U104 - Notice Design Space

Informing people about their privacy occurs in many more ways that in a formal legalistic document. This lesson explores the design space: modality, channels, timing, and controls

E101 - Hashing

One-way functions
provide numerous
privacy protections.
This lesson
discusses some of
the use cases for
hashing as well as
common pitfalls.

E111 - Privacy Architecture

Privacy architecture
looks to reduce
privacy risks through
decentralization and
de-identification of
data.

E121 - Privacy Enhancing Technologies

PETs are a set of
technologies which have a primary purpose of preserving or enhancing privacy. This lesson covers the basics of the most popular PETs in use.

E131 - Anonimity, Pseudonymity & De-Identification

This lesson covers the syntactic
dataset measures of anonymity
and their proper use.

E201 - Fuzzy Hashing

Hashing can be very unforgiving. Fuzzing hashing provides a way of preserving privacy while allowing for some flexibility.

E211 - Technical Policy Enforcement

This lesson covers various techniques to technically enforce policies in systems.

E221 - Differential Privacy

An introductory lesson into how differential privacy works and its potential applications.

E231 - Deidentification Techniques

Here we examine the three major techniques for data deidentification including suppression, generalization and noise as well as pitfalls to watch out for such as overlapping.

E202 - Translucent Databases

Often times database needs to be accessible to some, like administrators, who don’t need the underlying data. Translucent database provide protection.

E223 - Secure Multi- Party Computation

An introductory lesson into how Secure Multi-Party Computation works and its potential applications.

Our Pricing

Individual License
through our LMS
(1 year of access)

$75

$750

Organization Licenses

Small (3-99)
$375
$2,500
$3,750
Medium (100-999)
$1,500
$10,000
$15,000
Large (1,000-9,999)
$4,500
$30,000
$45,000
Enterprise (>10,000)
$9,000
$60,000
$90,000
Includes
1 Year License
1 Year License
1 Year License

Add general privacy awareness lessons from leading provider Teach Privacy. See Catalog.

N/A

 

 

Inclusive

You may select any of the TeachPrivacy courses as part of your 10 course selection

Contact to Add-On

TeachPrivacy courses must be added separately. Please note your interest in the order form. 

Organizational prices based on no customization and training hosted on your internal company Learning Management Systems (LMS)

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    "This course has expanded my understanding of not only the PbD principle, but the overall approach to thinking about privacy threats and risks. "