When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

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Responsible AI for Developers: Fairness & Bias

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Responsible AI for Developers: Fairness & Bias

This course is part of Responsible AI for Developers Specialization

Instructor: Google Cloud Training

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

18 reviews

Intermediate level

Some related experience required

3 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

18 reviews

Intermediate level

Some related experience required

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Define what is Responsible AI
Identify Google’s AI principles
Describe what AI fairness and bias mean
Explain how to identify and mitigate biases through data and modeling

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Responsible AI for Developers 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 5 modules in this course

This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.

This module introduces the course structure and objectives.

What's included

1 video

This module provides an overview of Responsible AI, covering Google’s AI Principles and sub-topics of Responsible AI. Also, this provides actual case studies of Responsible AI in Google products.

What's included

4 videos1 assignment

This module focuses on AI Fairness and Bias. It provides various techniques and tools to identify and mitigate biases through data and modeling.

What's included

8 videos1 assignment1 app item1 plugin

8 videos Total 37 minutes

Overview of Fairness and Bias 8 minutes
Identify Bias - TFDV Tool 5 minutes
Identify Bias - What-if Tool 4 minutes
Identify Bias - TFMA Tool 2 minutes
Mitigate Bias - Data Intervention 7 minutes
Mitigate Bias - Threshold Calibration 5 minutes
Mitigate Bias - Model Remediation 5 minutes
Lab: Mitigate Bias with MinDiff in TensorFlow 1 minute

1 assignment Total 6 minutes

Quiz 2 6 minutes

1 app item Total 90 minutes

Lab: Mitigate Bias with MinDiff in TensorFlow 90 minutes

1 plugin Total 15 minutes

Accessing and completing labs 15 minutes

This module provides a summary of the entire course by covering the most important concepts, tools, and technologies.

What's included

1 video1 reading

Student PDF links to all modules

What's included

1 reading

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

Google Cloud Training

Google Cloud

2,108 Courses 4,000,141 learners

Offered by

Google Cloud

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.