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.
This course is part of the Ethics in the Age of AI Specialization
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Ethics in the Age of AI SpecializationLearnQuestAbout this Course
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Shareable Certificate
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Course 3 of 4 in the
Flexible deadlines
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Intermediate Level
Approx. 6 hours to complete
English
Subtitles: English
Skills you will gain
EthicsMachine LearningEthics Of Artificial IntelligencesecurityPrivacy
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 6 hours to complete
English
Subtitles: English
Offered by
LearnQuest
LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.
Syllabus - What you will learn from this course
2 hours to complete
Privacy and convenience vs big data
In Module 1, we are going to discuss what true anonymity and privacy mean in machine learning
2 hours to complete
5 videos (Total 19 min), 2 readings, 3 quizzes
5 videos
How safe is your data?5m
Algorithms vs privacy3m
Adversarial attacks on privacy5m
Weekly Review1m
2 readings
Netflix Prize: Breaking anonymous datasets20m
Clearview AI20m
3 practice exercises
Knowledge Check10m
Knowledge Check10m
Weekly Quiz30m
2 hours to complete
Protecting Privacy: Theories and Methods
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
2 hours to complete
4 videos (Total 16 min), 2 readings, 3 quizzes
4 videos
Noise vs signal: protecting privacy5m
Implementing differential privacy4m
Weekly Review1m
2 readings
Dataset Security20m
Differential Privacy at Apple20m
3 practice exercises
Knowledge Check10m
Knowledge Check10m
Weekly Quiz30m
2 hours to complete
Building Transparent Models
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
2 hours to complete
5 videos (Total 20 min), 1 reading, 3 quizzes
5 videos
Glass box vs black box models4m
Markets and game theory: empowering users4m
Deconstructing algorithmic complexity4m
Weekly Review1m
1 reading
Why should I trust you?20m
3 practice exercises
Knowledge Check10m
Knowledge Check10m
Weekly Quiz30m
About the Ethics in the Age of AI Specialization
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll finish with a study of 3 projects that will allow you to put your new skills into action.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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- 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.
What will I get if I subscribe to this Specialization?
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. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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