All current Responsible AI Courses courses in 2024
74 Courses
AWS Flash - Introduction to Responsible AI (Korean)
In this course, we briefly explain what responsible AI is and why it is important in generative AI. Responsible AI refers to developing, deploying, and using AI in ethical, transparent, fair, and accountable ways. The course covers key elements of responsible AI including fairness, explainability, privacy, robustness, governance, and transparen.
AWS Flash - Introduction to Responsible AI (Simplified Chinese)
本课程概述了什么是负责任的 AI 以及它在生成式人工智能背景下的重要性。负责任的 AI 是指以合乎伦理、透明、公平且负责任的方式开发、部署和使用 AI。本课程涵盖负责任的 AI 的核心维度以及建立公平性、可解释性、隐私、稳健性、监管和透明度方面的最佳实践。本课程还将介绍用于在 AWS 上负责任地构建 AI 的服务和工具。
课程级别：基础级
时长：60-75 分钟
注.
AWS Flash - Introduction to Responsible AI (Traditional Chinese)
本課程提供對負責任 AI 的基本介紹，重點探討其在生成式 AI 環境中的重要性。負責任 AI 涉及以道德、透明、和公正的方式開發和部署 AI。核心內容包括公平性、可解釋性、隱私、穩健性、和透明度的最佳實踐。您將學習如何利用 AWS 的服務和工具，構建負責任且可靠的 AI 系統。
課程等級：基礎
授課時長：60-75 分鐘
注意：課程提供本地化註釋/字幕，旁白為英語。要.
AWS Flash - Introduction to Responsible AI (Japanese)
このコースでは、責任ある AI とは何か、そしてなぜそれが生成 AI の文脈において重要なのかを概説します。責任ある AI とは、倫理的、透明、公正、かつ説明責任のある方法で AI を開発、デプロイ、使用することです。このコースでは、責任ある AI の主な要素と、公平性、説明可能性、プライバシー、堅牢性、ガバナンス、透明性に関するベストプラクティスの確立について.
AI Ethics at SAP
SAP recognizes the transformative potential of artificial intelligence (AI) for businesses, governments, and society. However, the rapid adoption of AI technologies brings with it various economic, political, and social challenges. The current pace of technological advancement has outstripped the establishment of sufficient governmental guidelin.
Responsible AI with Amazon Bedrock
Dive into the world of responsible AI with our course focused on Amazon Bedrock. Offered by Pluralsight, this course covers essential AI responsibility principles highlighted through Amazon's Guardrails framework, driving ethical practices in AI development.
AI is rapidly transforming the tech landscape and influencing our daily lives. In this.
AWS Flash - AWS AI/ML Essentials (GCR Only)
This targeted course is designed for technicians aiming to pass the AWS Certified AI Practitioner (AIF-C01) exam, helping you understand the exam process and key topics. Enhance your mastery of essential AI and ML knowledge, and become familiar with exam formats and difficulty through sample questions.
Levels: Intermediate
Teaching method.
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.
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.
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
