22
Responsible AI for Developers: Privacy & Safety
22
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.
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