|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-literacy-basics/
课程评论：没有评论
课程名称：人工智能素养基础（针对非人工智能专业人士） 概述：人工智能素养专业化项目是一门独特的课程，基于科学框架按认知技能层级分解为四个层次，旨在教授人工智能（AI）。课程的第一部分“了解与理解”结合了记忆（回忆事实和基本知识）和理解（解释概念和想法）两项认知技能。在第一部分中，我们涵盖了5个核心能力和16个绩效指标，旨在建立扎实的人工智能素养基础。 核心能力概述： 1) 人工智能基础：这一能力侧重于建立核心AI概念，探索实际应用，并理解构成AI系统的基本组件。学生将学习如何在日常环境中识别AI，并理解分析AI应用所使用的基础框架。 - 绩效指标： 1.1) 理解AI的定义和基本要素 1.2) 理解AI、机器学习(ML)、深度学习(DL)、生成AI和数据科学之间的区别 1.3) AI在各行业的实际应用 2) 人工智能历史：该能力考察人工智能的演变，从早期理论概念到今日的生成AI革命，帮助学生理解历史发展如何塑造当前的AI技术。 - 绩效指标： 2.1) 理解人工智能的历史及生成AI的演变 3) 人工智能术语和类型：该能力提供AI术语和分类的全面概述，使学生能够有效沟通不同的AI系统，并理解各种技术在更广泛AI领域中的定位。 - 绩效指标： 3.1) AI术语概述 3.2) AI系统类型 3.3) 机器学习简介 3.4) 深度学习简介 3.5) 生成和自主AI简介 3.6) 数据科学简介 4) 人工智能伦理维度：该能力探讨AI开发和部署中的重要伦理考量，检查风险、伤害、偏见和公平考虑在AI生命周期中的交叉点。 - 绩效指标： 4.1) AI伦理的重要维度概述 4.2) 理解AI系统的核心风险 4.3) 理解AI系统的核心伤害 4.4) 理解AI系统的核心偏见 4.5) 理解AI系统的公平性 5) 可信赖的人工智能特征：该能力考察使AI系统可信或负责任的基本原则，着重于治理框架和伦理AI开发的具体实施策略。 - 绩效指标： 5.1) 理解可信赖的AI系统特征 完成该课程的第一部分后，参与者将全面了解AI基础知识、术语、历史背景、伦理考量和可信原则。这些知识形成了在任何专业背景下负责任地使用和开发AI的基本基础。无论是希望增强职业前景，还是做出明智的AI实施决策，或只是希望理解改变我们世界的技术，该课程都将为您提供知识和框架，使您能够自信地参与AI系统并为其伦理发展作出贡献。
The AI Literacy Specialization Program is one-of-a-kind hierarchical & cognitive skills based curriculum that teaches artificial intelligence (AI) based on a scientific framework broken down into four levels of cognitive skills.Part 1: Know & Understand combines the first two cognitive skills -Remembering (recalling facts and basic knowledge)Understanding (explaining concepts and ideas)In Part 1, we cover 5 core competencies with 16 performance indicators designed to build a strong foundation in AI literacy.Competency Overview1) Foundations of AIThis competency focuses on establishing core AI concepts, exploring real-world applications, and understanding the fundamental components that make up AI systems. Students will learn to recognize AI in everyday contexts and understand the underlying frameworks used to analyze AI applications.Performance Indicators:1.1) Understand the definition and basic elements of AI1.2) Understand the differences between AI, ML, DL, Gen AI & DS1.3) Real-World Uses of AI: Industry by Industry2) History of AIThis competency examines the evolution of artificial intelligence over time, from early theoretical concepts to today's generative AI revolution, helping students understand how historical developments have shaped current AI technologies.Performance Indicators:2.1) Understanding the history of AI & Evolution of Gen AI3) The Terminology of AI & AI TypesThis competency provides a comprehensive overview of AI terminology and classifications, enabling students to communicate effectively about different AI systems and understand how various technologies fit within the broader AI landscape.Performance Indicators:3.1) Overview: The terminology of AI3.2) Types of AI Systems3.3) Introduction to Machine Learning3.4) Introduction to Deep Learning3.5) Introduction to Generative & Agentic AI3.6) Introduction to Data Science4) Dimensions of AI EthicsThis competency explores the critical ethical considerations in AI development and deployment, examining how risks, harms, biases, and fairness considerations intersect throughout the AI lifecycle.Performance Indicators:4.1) Overview: Critical Dimensions of AI Ethics4.2) Understanding the Core Risks of AI Systems4.3) Understanding the Core Harms of AI Systems4.4) Understanding the Core Biases of AI Systems4.5) Understanding the Fairness of AI Systems5) Characteristics of Trustworthy AIThis competency examines the essential principles that make AI systems trustworthy or responsible, focusing on governance frameworks and concrete implementation strategies for ethical AI development.Performance Indicators:5.1) Understand the Characteristics of Trustworthy AI SystemsBy completing Part 1 of the AI Literacy Specialization Program, participants will develop a comprehensive understanding of AI fundamentals, terminology, historical context, ethical considerations, and trustworthiness principles. This knowledge forms the essential foundation for responsible AI use and development in any professional context. Whether you're looking to enhance your career prospects, make informed decisions about AI implementation, or simply understand the technology transforming our world, this program equips you with the knowledge and framework to confidently engage with AI systems and contribute to their ethical advancement.
