Introduction to Artificial Intelligence (AI)

所在平台: Coursera

课程主页: https://www.coursera.org/learn/introduction-to-ai

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课程简介

课程名称：人工智能导论（AI） 课程概述：本课程将帮助您了解什么是人工智能（AI），探索AI的应用案例和实际用途，理解机器学习、深度学习和神经网络等AI概念和术语。您将接触到与AI相关的各种问题和关注点，例如伦理和偏见、就业问题，并聆听专家关于学习和开启AI职业生涯的建议。此外，您还将通过一个迷你项目展示AI在实际中的应用。本课程不需要任何编程或计算机科学的专业知识，旨在向任何人介绍AI的基础知识，无论您是否具备技术背景。 课程大纲： 1. **AI的介绍与应用** 在这一模块中，您将探索人工智能的基础知识及其在各行业日益增长的影响。您将学习区分AI与增强智能，考察传统AI到生成AI的演变。通过实际示例，您将识别日常生活和商业中的真实用例，并获得使用生成AI工具和聊天机器人设计的实践经验。到最后，您将理解AI的能力、局限性及其在增强人类潜能方面的作用。 2. **AI概念、术语和应用领域** 本模块将探讨人工智能的基础概念，包括认知计算、机器学习和深度学习。您将学习AI系统如何模拟人类认知、处理语言和使用神经网络识别模式。该模块还涵盖生成模型和大型语言模型的架构，以及AI技术在自动驾驶车辆、语音识别和物联网等领域的应用。通过真实世界的示例和实践见解，您将更深入地理解AI的能力及其如何在各行业中融合。 3. **通过AI实现商业与职业转型** 在此模块中，您将研究AI代理、机器人和自动化如何通过增强决策能力和运营效率而改变行业。您将探索生成AI的崛起及其在商业创新、内容创作和战略规划中的应用。该模块介绍了真实的商业应用案例，包括获取增强生成（RAG）等工具。您还将研究领先公司如何采用AI，并发现如何在您未来的职业生涯中应用AI。 4. **问题、关注点与伦理考量** 本模块将探讨AI的伦理基础，重点关注公平性、透明度和问责制。您将考察生成AI带来的挑战，例如幻觉和滥用，学习伦理风险缓解的策略。该模块涵盖AI治理框架和职场中负责任的AI实践。最后，您将完成一个最终项目，设计一个伦理上令人满意的生成AI驱动解决方案，以解决一个实际的组织挑战，并进行一次评分测验。 通过本课程，您将获得关于人工智能的全面理解，并为未来在AI领域的学习和职业发展奠定基础。

课程大纲

Name:Introduction and Applications of AI

Description:In this module, you will explore the fundamentals of Artificial Intelligence (AI) and its growing impact across industries. You will learn to distinguish between AI and augmented intelligence and examine the evolution from traditional AI to generative AI. Through practical examples, you’ll identify real-world use cases in daily life and business. You’ll also gain hands-on experience with generative AI tools and chatbot design. By the end, you’ll understand AI’s capabilities, limitations, and role in enhancing human potential.

Name:AI Concepts, Terminology, and Application Domains

Description:In this module, you will explore the foundational concepts of artificial intelligence, including cognitive computing, machine learning, and deep learning. You’ll learn how AI systems simulate human cognition, process language, and recognize patterns using neural networks. The module also covers the architecture of generative models and large language models, and how AI technologies are applied in domains such as autonomous vehicles, speech recognition, and the Internet of Things (IoT). Through real-world examples and practical insights, you’ll gain a deeper understanding of the capabilities of AI and how it integrates across industries.

Name:Business and Career Transformation Through AI

Description:In this module, you will examine how AI agents, robotics, and automation are transforming industries by enhancing decision-making and operational efficiency. You’ll explore the rise of generative AI and its applications in business innovation, content creation, and strategic planning. The module introduces real-world business applications, including tools like retrieval-augmented generation (RAG). You’ll also examine how leading companies adopt AI and discover ways to apply AI in your own future career.

Name:Issues, Concerns, and Ethical Considerations

Description:In this module, you will explore the ethical foundations of AI, focusing on fairness, transparency, and accountability. You’ll examine challenges posed by generative AI, such as hallucinations and misuse, and learn strategies for ethical risk mitigation. The module covers AI governance frameworks and responsible AI practices in workplace scenarios. The model concludes with a final project where you’ll design an ethical, generative AI-driven solution to address a real organizational challenge and a graded quiz.

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