17
Responsible AI for Developers: Fairness & Bias
17
Responsible AI for Developers: Fairness & Bias
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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.
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, 繁體中文, Deutsch, and Türkçe
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View the public classroom schedule here