21 Responsible AI for Developers: Privacy & Safety

21

Responsible AI for Developers: Privacy & Safety

Name: Responsible AI for Developers: Privacy & Safety
Rating: 4.16 (4838 reviews)

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Data Science

Data Management

Data

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5 heures Intermédiaire

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.

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Informations sur le cours

Objectifs

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.

Prérequis

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

Cible

AI/ML Developers, AI Practitioners, ML Engineers, Data Scientists

Langues disponibles

English, Deutsch, español (Latinoamérica), français, bahasa Indonesia, italiano, 日本語, 한국어, polski, português (Brasil), українська, 繁體中文, 简体中文 et Türkçe

21

Responsible AI for Developers: Privacy & Safety

21

Responsible AI for Developers: Privacy & Safety

La puissance des ateliers challenge