11
Responsible AI for Developers: Privacy & Safety
11
Responsible AI for Developers: Privacy & Safety
This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
Course Info
Objectives
- Define what AI privacy and AI safety is.
- Describe methods used to address AI privacy in both data and models.
- List key considerations for AI safety implementation.
- Describe techniques used when implementing AI safety.
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, Deutsch, español (Latinoamérica), français, bahasa Indonesia, italiano, 日本語, 한국어, polski, português (Brasil), українська, 繁體中文, 简体中文, and Türkçe
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Explore Google Cloud content on Coursera and Pluralsight.
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View the public classroom schedule here.
Can I take this course for free?
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