All current Responsible AI Courses courses in 2024
115 Kurse
Responsible AI for Developers
This specialization equips developers with the essential knowledge and skills to build responsible AI systems by applying best practices of Fairness, Interpretability, Transparency, Privacy, and Safety.
Identify and Mitigate Bias: Learn to recognize and address potential biases in your machine learning models to mitigate fairness issu.
Coursera
Introduction to Responsible AI - Italiano
Introduction to Responsible AI - Italiano
Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'IA responsabile, perché è importante e in che modo Google implementa l'IA responsabile nei propri prodotti. Introduce anche i 7 principi dell'IA di Google.
University:
Provider: Coursera
Categories: Responsible AI Courses
Coursera
Introduction to Responsible AI - 简体中文
Introduction to Responsible AI - 简体中文 | Coursera
这是一节入门级微课程，旨在解释什么是负责任的 AI、它的重要性，以及 Google 如何在自己的产品中实现负责任的 AI。此外，本课程还介绍了 Google 的 7 个 AI 开发原则。
提供单位： Coursera
分类： Responsible AI 课程
Coursera
Responsible AI for Developers: Fairness & Bias - Indonesian
Responsible AI for Developers: Fairness & Bias - Indonesian
En este curso, se presentan los conceptos de la IA responsable y los principios de la IA. Se abordan técnicas para identificar de forma práctica la equidad y los sesgos, y mitigar los sesgos en las prácticas de IA/AA. Se exploran métodos y herramientas funcionales para implementar prácti.
Coursera
Responsible AI for Developers: Fairness & Bias - Polski
Responsible AI for Developers: Fairness & Bias - Polski
Descrizione: Questo corso introduce i concetti di AI responsabile e i principi dell'AI. Tratta le tecniche per identificare sostanzialmente l'equità e i bias e mitigare i bias nelle pratiche di AI/ML. Illustra metodi e strumenti pratici per implementare le best practice dell'AI responsabile.
Coursera
Responsible AI for Developers: Fairness & Bias - 繁體中文
Responsible AI for Developers: Fairness & Bias - 繁體中文
本課程旨在說明負責任 AI 技術的概念和 AI 開發原則，同時介紹各項技術，在實務上找出公平性和偏誤，減少 AI/機器學習做法上的偏誤。我們也將探討實用方法和工具，透過 Google Cloud 產品和開放原始碼工具，導入負責任 AI 技術的最佳做法。
University:
Provider: Coursera
Categories: Responsible AI Cours.
Coursera
Responsible AI for Developers: Fairness & Bias - Français
Responsible AI for Developers: Fairness & Bias - Français
Ce cours présente le concept d'IA responsable et les principes associés. Il met en avant des techniques permettant d'identifier des données équitables ou biaisées, et de limiter les biais lors de l'utilisation de l'IA/du ML. Vous découvrirez des méthodes pratiques et des outils pour.
Coursera
Responsible AI for Developers: Fairness & Bias - Português
Responsible AI for Developers: Fairness & Bias - Português
Coursera
Generative AI Fundamentals - Locales
Generative AI Fundamentals - Locales
This course, Generative AI Fundamentals - Locales, is designed specifically for non-English learners. If you prefer the course in English, please enroll in Generative AI Fundamentals.
Earn a skill badge by completing the following courses:
Introduction to Generative AI
In.
Google Cloud Skills Boost
Introduction to Responsible AI - Locales
University: Google Cloud Skills Boost
Provider: Google Cloud Skills Boost
Categories: Responsible AI Courses
This introductory-level microlearning course, Introduction to Responsible AI - Locales, is designed specifically for non-English learners. The course aims to explain what responsible AI is, why it's important, and how Google implements.
Google Cloud Skills Boost
Responsible AI for Developers: Fairness & Bias - Español
Responsible AI for Developers: Fairness & Bias - Español
En este curso, se presentan los conceptos de la IA responsable y los principios de la IA. Se abordan técnicas para identificar de forma práctica la equidad y los sesgos, y mitigar los sesgos en las prácticas de IA/AA. Se exploran métodos y herramientas funcionales para implementar prác.
Coursera
Responsible AI for Developers: Interpretability & Transparency
Title: Responsible AI for Developers: Interpretability & Transparency
Description: This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI mo.
Coursera