Google Cloud via Coursera |
Go to Course: https://www.coursera.org/learn/responsible-ai-for-developers-fairness--bias
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
Course Introduction
This module introduces the course structure and objectives.
Introduction to Responsible AIThis 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 & BiasThis module focuses on AI Fairness and Bias. It provides various techniques and tools to identify and mitigate biases through data and modeling.
Course SummaryThis module provides a summary of the entire course by covering the most important concepts, tools, and technologies.
Course ResourcesStudent PDF links to all modules
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.