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DataCamp

Responsible AI for Developers: Fairness & Bias

via DataCamp

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Overview

This course introduces concepts of responsible AI and AI principles.

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.

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

Taught by

Google Cloud

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