This course is part of the AI Product Management Specialization

4.9
stars
21 ratings

Jon Reifschneider

3,136 already enrolled

Offered By

AI Product Management SpecializationDuke University

About this Course

14,837 recent views

This third and final course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the critical human factors in developing AI-based products.  The course begins with an introduction to human-centered design and the unique elements of user experience design for AI products.  Participants will then learn about the role of data privacy in AI systems, the challenges of designing ethical AI, and approaches to identify sources of bias and mitigate fairness issues.  The course concludes with a comparison of human intelligence and artificial intelligence, and a discussion of the ways that AI can be used to both automate as well as assist human decision-making.
At the conclusion of this course, you should be able to:
1) Identify and mitigate privacy and ethical risks in AI projects
2) Apply human-centered design practices to design successful AI product experiences
3) Build AI systems that augment human intelligence and inspire model trust in users

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 3 in the

AI Product Management Specialization

Beginner Level

No prior experience in AI or programming required

Approx. 17 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

What you will learn

Identify and mitigate privacy and ethical risks in AI projects
Apply human-centered design practices to design successful AI product experiences
Build AI systems that augment human intelligence and inspire model trust in users

Skills you will gain

Machine Learning
Privacy
Design Thinking
Ethics

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 3 in the

AI Product Management Specialization

Beginner Level

No prior experience in AI or programming required

Approx. 17 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

5/5 (9 Ratings)

Jon Reifschneider

Director, Master of Engineering in AI for Product Innovation, Duke University

Engineering

15,522 Learners

3 Courses

Offered by

Duke University

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

Learn more about Coursera for Business

Syllabus - What you will learn from this course

Week1

Week 1

5 hours to complete

Design of AI Product Experiences

5 hours to complete

12 videos (Total 68 min), 5 readings, 1 quiz

12 videos

Specialization Overview4mInstructor Introduction1mCourse Overiew3mIntroduction and Objectives1mDesign Thinking15mTask Analysis7mAI User Experience Design Considerations4mUser Inputs6mTransparency6mCommunicating Uncertainty9mFeedback Loops7mModule Wrap-up1m

5 readings

About the Course5mDownload Module Slides30mAn Introduction to Design Thinking Process Guide30mHuman-Centered Machine Learning30mML has uncertainty. Design for it.30m

1 practice exercise

Module 1 Quiz30m

Week2

Week 2

3 hours to complete

Data Privacy and AI

3 hours to complete

8 videos (Total 42 min), 3 readings, 1 quiz

8 videos

Introduction and Objectives1mIntroduction to Data Privacy5mFair Information Practices (FIPs)3mU.S. Privacy Regulation9mE.U. General Data Protection Regulation (GDPR)5mPrivacy Challenges in AI4mProtecting Privacy in AI8mModule Wrap-up2m

3 readings

Download Module Slides30mYour apps know where you were last night. And they're not keeping it a secret30mFederated Learning: Building better products with on-device data and privacy by default30m

1 practice exercise

Module 2 Quiz30m

Week3

Week 3

3 hours to complete

Ethics in AI

3 hours to complete

6 videos (Total 41 min), 3 readings, 1 quiz

Week4

Week 4

6 hours to complete

Human and Societal Considerations

6 hours to complete

7 videos (Total 39 min), 2 readings, 2 quizzes

Reviews

4.9

6 reviews

5 stars
90.47%
4 stars
9.52%

TOP REVIEWS FROM HUMAN FACTORS IN AI

by EFJan 18, 2022

Well detailed insights into the precarious world of security, bias and privacy in AI

by HNFeb 11, 2023

Excellent course concept and material.Peer review grading process needs human and AI monitoring as a course completion certificate would inspire learners to register for this course in the future

View all reviews

About the AI Product Management Specialization

Organizations in every industry are accelerating their use of artificial intelligence and machine learning to create innovative new products and systems. This requires professionals across a range of functions, not just strictly within the data science and data engineering teams, to understand when and how AI can be applied, to speak the language of data and analytics, and to be capable of working in cross-functional teams on machine learning projects.

This Specialization provides a foundational understanding of how machine learning works and when and how it can be applied to solve problems. Learners will build skills in applying the data science process and industry best practices to lead machine learning projects, and develop competency in designing human-centered AI products which ensure privacy and ethical standards. The courses in this Specialization focus on the intuition behind these technologies, with no programming required, and merge theory with practical information including best practices from industry. Professionals and aspiring professionals from a diverse range of industries and functions, including product managers and product owners, engineering team leaders, executives, analysts and others will find this program valuable.

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:
The course may not offer an audit option. 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.
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. 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.

More questions? Visit the Learner Help Center.

Build employee skills, drive business results

Discover Coursera for Business

Human Factors in AI

About this Course

What you will learn

Skills you will gain