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Responsible AI for Developers

Fairness & Bias

Google Cloud Training

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.

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What's inside

Syllabus

Course Introduction

This module introduces the course structure and objectives.

Introduction to Responsible AI

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.

AI Fairness & Bias

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

Course Summary

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

Course Resources

Student PDF links to all modules

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for students who want to understand the fundamentals of Responsible AI and mitigate bias in AI/ML practices

Created by Google Cloud Training, providing learners with access to industry-leading expertise in AI and machine learning

Utilizes Google Cloud products and open source tools, giving learners hands-on experience with practical applications

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Career center

Learners who complete Responsible AI for Developers: Fairness & Bias will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are responsible for analyzing data to extract meaningful insights and building machine learning models. This course can help Data Scientists build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Data Scientists to understand in order to develop responsible AI applications.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. This course can help Machine Learning Engineers build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Machine Learning Engineers to understand in order to develop responsible AI applications.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software applications. This course can help Software Engineers build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Software Engineers to understand in order to develop responsible AI applications.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts are responsible for analyzing data to extract meaningful insights. This course can help Data Analysts build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Data Analysts to understand in order to develop responsible AI applications.

See salaries and explore the career path for Data Analyst

Product Manager

Product Managers are responsible for managing the development and launch of new products and features. This course can help Product Managers build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Product Managers to understand in order to develop responsible AI products.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts are responsible for analyzing business processes and developing solutions to improve efficiency and effectiveness. This course can help Business Analysts build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Business Analysts to understand in order to develop responsible AI solutions.

See salaries and explore the career path for Business Analyst

UX Designer

UX Designers are responsible for designing the user experience of products and services. This course can help UX Designers build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for UX Designers to understand in order to design responsible AI experiences.

See salaries and explore the career path for UX Designer

Project Manager

Project Managers are responsible for planning, executing, and monitoring projects. This course can help Project Managers build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Project Managers to understand in order to manage responsible AI projects.

See salaries and explore the career path for Project Manager

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines. This course can help Data Engineers build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Data Engineers to understand in order to build responsible AI data pipelines.

See salaries and explore the career path for Data Engineer

Technical Writer

Technical Writers are responsible for creating documentation for software and other technical products. This course can help Technical Writers build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Technical Writers to understand in order to create responsible AI documentation.

See salaries and explore the career path for Technical Writer

Quality Assurance Analyst

Quality Assurance Analysts are responsible for testing and verifying the quality of software and other technical products. This course can help Quality Assurance Analysts build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Quality Assurance Analysts to understand in order to test and verify the quality of responsible AI products.

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IT Auditor

IT Auditors are responsible for auditing the security and compliance of IT systems. This course can help IT Auditors build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for IT Auditors to understand in order to audit the security and compliance of responsible AI systems.

See salaries and explore the career path for IT Auditor

Compliance Officer

Compliance Officers are responsible for ensuring that organizations comply with laws and regulations. This course can help Compliance Officers build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Compliance Officers to understand in order to ensure that organizations comply with laws and regulations related to responsible AI.

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Risk Manager

Risk Managers are responsible for identifying, assessing, and mitigating risks. This course can help Risk Managers build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Risk Managers to understand in order to identify, assess, and mitigate the risks of responsible AI.

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Policy Analyst

Policy Analysts are responsible for developing and analyzing policies. This course can help Policy Analysts build a foundation in Responsible AI principles and practices, which are becoming increasingly important as AI becomes more widely adopted. The course covers topics such as AI Fairness and Bias, which are essential for Policy Analysts to understand in order to develop and analyze responsible AI policies.

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Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Responsible AI for Developers: Fairness & Bias.

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