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Responsible AI for Developers: Fairness & Bias

Responsible AI for Developers: Fairness & Bias

4 hours Intermediate universal_currency_alt 1 Credit

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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Course Info
Objectives
  • 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
Prerequisites

Working knowledge of machine learning concepts and practices. Working knowledge of machine learning pipelines and tools. Prior experience with programming languages such as SQL and Python

Audience
AI/ML Developers, AI Practitioners, ML Engineers, Data Scientists
Available languages
English, español (Latinoamérica), français, bahasa Indonesia, italiano, 日本語, 한국어, polski, português (Brasil), українська, 简体中文, and 繁體中文
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