This season of the Field Guide aims to help non-techs learn the basic concepts behind computing, networks, websites & mobile apps and even quantum computing!
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Looking to take your privacy engineering career to the next level? Or perhaps you're a seasoned professional seeking to expand your knowledge of privacy-enhancing technologies? Look no further!
HGPE offers everything you need to succeed in this exciting and rapidly-growing field.
Hitchhiker's Guide to Privacy Engineering is an essential resource for privacy lawyers looking to deepen their understanding of privacy engineering principles and practices, and better address the complex privacy challenges faced by today's organizations.
HGPE is a comprehensive online learning environment designed to provide privacy lawyers with the knowledge and skills necessary to navigate the complex world of privacy.
The field guide is ideal for those who are just starting their career in privacy law or for those who want to expand their technical privacy knowledge.
The guide starts by explaining why privacy matters and how it affects individuals, businesses, and governments. It then delves into the technical aspects of privacy, including how computers work, how the internet works, and the basics of cryptography. As you progress through the academy, you'll explore more advanced topics such as quantum computing and privacy-enhancing technologies.
After completing a chapter, you'll have the opportunity to test your newly learned tech skills on learning paths. These hands-on exercises provide you with practical experience applying the knowledge you've gained, allowing you to see how the concepts can be applied in the real world.
Here are the learning paths that you can embark on to start your privacy engineering journey. Each learning path is filled with stories coupled with puzzles to test your skills.
When you complete the learning tracks, you will earn badges which will allow you to get access to harder learning paths.
Each learning path requires unraveling complex investigations into the unknown, need to uncover clues, and use their own wits and newly learned skills.
The Academy is where you can learn about the learning paths right away, however, the puzzle and games you need to wait a little longer.
We have carefully designed puzzles and skill checks that will challenge you to think critically about privacy issues and come up with creative solutions to complex problems. Completing the learning path will equip you with the necessary knowledge and skills to tackle privacy issues in the real world.
Earn badges and move up the ladder to become a galactic privacy champion.
However, here is the tricky part! You can only complete the learning paths by solving the relevant puzzles and games of the learning path.
Overall, Privacy Academy is an excellent resource for anyone looking to expand their knowledge and skills in the field of privacy law. With its comprehensive approach and engaging learning experience, the academy is sure to help you succeed in this exciting and ever-evolving field.
Start learning today and join the thousands of professionals who have already discovered the power of HGPE.
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Why Privacy Matters?
Fundamental importance of privacy, including the ethical and legal considerations of privacy.
Computers and Privacy
Core technologies that underpin modern information systems.
Networks and Privacy
Network architectures, data storage, network protocols, and cybersecurity.
Websites and Privacy
Learn how websites work and the online risk and threats to data privacy
Mobile Apps and Privacy
Focuses on the unique privacy challenges posed by mobile apps.
Quantum and Privacy
Learn more about quantum computing and its privacy risks
Usable Privacy & Privacy UX
The importance of designing privacy features that are user-friendly and easy to use.
Scripting Languages
Core concepts of programming, including data types, variables, control structures, and functions.
Privacy Enhancing Technologies
This chapter is still being written 👀
Machine Learning and Privacy
GANs, neural networks, supervised and unsupervised learning, and explains how machine learning can impact privacy.
Online Tracking & Advertising
Explores the ways in which online tracking and advertising can impact privacy, including the use of cookies, tracking pixels, and fingerprinting.
Input Privacy
Preventing the disclosure of personal data that may be contained in the data being used as input.
Output Privacy
Peventing the disclosure of personal data that may be contained in the output of a computation.
Threat Modeling & Risk Assessment
Assessment of the likelihood and impact of privacy risks, and the development of strategies to mitigate those risks.
Privacy by Design
Explains the concept of designing privacy into systems from the start, rather than as an afterthought.