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    Responsible AI for Developers: Privacy & Safety

    21

    Responsible AI for Developers: Privacy & Safety

    magic_button Data Responsible AI Machine Learning
    These skills were generated by AI. Do you agree this course teaches these skills?
    5 hours Intermediate universal_currency_alt 2 Credits

    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.

    Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed.

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    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 וTürkçe

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