Artificial Intelligence Privacy and Convenience

Ends in 3 days! Save 40% on your access to 10,000+ programs and make a real impact in your career. Save now.

Artificial Intelligence Privacy and Convenience

This course is part of Ethics in the Age of AI Specialization

Instructor: LearnQuest Network

9,364 already enrolled

Included with Learn more

Ask Coursera

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

5 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

5 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Ethics in the Age of AI Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

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.

In Module 1, we are going to discuss what true anonymity and privacy mean in machine learning.

What's included

5 videos2 readings3 assignments

5 videosTotal 17 minutes

Course Introduction3 minutes
How safe is your data?5 minutes
Algorithms vs privacy3 minutes
Adversarial attacks on privacy4 minutes
Weekly Review: Privacy and convenience vs big data1 minute

2 readingsTotal 32 minutes

Netflix Prize: Breaking anonymous datasets20 minutes
Clearview AI and the Dark Side of Public Data: When Photos Become Surveillance12 minutes

3 assignmentsTotal 50 minutes

Anonymous datasets10 minutes
Privacy and adversarial models10 minutes
Exam: Privacy and convenience vs big data30 minutes

In Module 2, we are going to take a deeper look at dataset security. We will also look into methods to add privacy to existing and new datasets to protect those individuals in them

What's included

4 videos2 readings3 assignments

4 videosTotal 14 minutes

How secure is your model? 5 minutes
Noise vs signal: protecting privacy4 minutes
Implementing differential privacy4 minutes
Weekly Review1 minute

2 readingsTotal 40 minutes

Securing AI & ML: Navigating Emerging Risks20 minutes
Differential Privacy at Apple20 minutes

3 assignmentsTotal 50 minutes

Dataset protections10 minutes
Knowledge Check10 minutes
Weekly Quiz30 minutes

In Module 3, we will discuss putting ethical, private models into practice. We will explore the explainable AI movement as well as tradeoffs for the teams putting together these algorithms

What's included

5 videos1 reading3 assignments

5 videosTotal 18 minutes

Privacy methods in practice4 minutes
Glass box vs black box models4 minutes
Markets and game theory: empowering users3 minutes
Deconstructing algorithmic complexity5 minutes
Weekly Review1 minute

1 readingTotal 20 minutes

Why should I trust you?20 minutes

3 assignmentsTotal 50 minutes

Privacy, Explainability, Fairness10 minutes
Knowledge Check10 minutes
Weekly Quiz30 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

LearnQuest Network

LearnQuest

210 Courses1,005,662 learners

Offered by

LearnQuest

Explore more from Data Analysis

Status: Free Trial
Pragmatic AI Labs
Privacy-Conscious Development with AI Assistants
Course
Status: Free Trial
Google Cloud
Responsible AI for Developers: Privacy & Safety
Course
Status: Free Trial
Coursera
Secure AI with Privacy and Access Controls
Course
Status: Free Trial
Coursera
Ethics and Safety in Open AI
Course

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.