After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
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.
Prerequisites
There are no prerequisites for this course
Curriculum
Course outline
1
Course Introduction
2
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.
3
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.
4
Course Summary
This module provides a summary of the entire course by covering the most important concepts, tools, and technologies.
5
Course Resources
Student PDF links to all modules
R
Responsible AI for Developers: Fairness & Bias
Course
Complete
