Monthly Subscription Starting at AED 99 + VAT

Artificial Intelligence Privacy and Convenience
  • Level Professional
  • Duration 6 hours
  • Course by LearnQuest
  • Offered by

About

In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects. Diving into the ethics behind these decisions, we will explore how to protect users from privacy violations while creating useful predictive models. We will also ask big questions about how businesses implement algorithms and how that affects user privacy and transparency now and in the future.

Modules

Introduction to the course

    • 1 Videos
    • 1 Discussion
Show info about module content

1 Discussions

  • Meet and Greet

1 Videos

  • Course Introduction

Anonymous datasets

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Knowledge Check

1 Videos

  • How safe is your data?

1 Readings

  • Netflix Prize: Breaking anonymous datasets

Privacy and adversarial models

    • 3 Videos
    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Knowledge Check
  • Weekly Quiz

1 Discussions

  • Eroding Privacy

3 Videos

  • Algorithms vs privacy
  • Adversarial attacks on privacy
  • Weekly Review

1 Readings

  • Clearview AI

Dataset protections

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Knowledge Check

1 Videos

  • How secure is your model?

1 Readings

  • Dataset Security

Differential Privacy

    • 3 Videos
    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Knowledge Check
  • Weekly Quiz

1 Discussions

  • Privacy and business interests

3 Videos

  • Noise vs signal: protecting privacy
  • Implementing differential privacy
  • Weekly Review

1 Readings

  • Differential Privacy at Apple

A balancing act: privacy, explainability, fairness

    • 2 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Knowledge Check

2 Videos

  • Privacy methods in practice
  • Glass box vs black box models

Implementing ethical models

    • 3 Videos
    • 1 Readings
    • 1 Discussion
    • 2 Assignment
Show info about module content

2 Assignment

  • Knowledge Check
  • Weekly Quiz

1 Discussions

  • The bigger questions

3 Videos

  • Markets and game theory: empowering users
  • Deconstructing algorithmic complexity
  • Weekly Review

1 Readings

  • Why should I trust you?

Auto Summary

Discover the balance between privacy and convenience in AI with this professional-level course from Coursera. Delve into the ethics, security, and privacy of machine learning projects, and learn to protect user data while building predictive models. Perfect for data science and AI professionals, this 360-minute course offers Starter and Professional subscription options. Join now to explore the impact of business algorithms on user privacy and transparency.

Brent Summers
Instructor

Brent Summers