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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-for-beginners-2025-master-the-basics-of-ai-in-1-hour/
课程评论：没有评论
课程名称：初学者的人工智能2025：1小时掌握人工智能基础 课程概述：欢迎来到《初学者的人工智能2025：1小时掌握人工智能基础》，这是您进入人工智能迷人世界的第一步！在本课程中，您将了解到：人工智能的真正含义（以及不意味着什么！）、机器学习和深度学习如何推动日常技术、生成式人工智能（如ChatGPT）如何改变各个行业。课程适合完全的初学者，不需要技术背景，只需对探索世界的好奇心！我们将复杂的理念简化为易于理解的例子，帮助您： ✓ 理解人工智能相关新闻和趋势 ✓ 自信地讨论人工智能术语 ✓ 探索潜在的职业道路 ✓ 针对人工智能工具做出明智的决策 您将学习的内容包括：首先，我们将介绍人工智能，探讨人工智能是什么以及它如何在医疗、金融和娱乐等行业中塑造未来。接下来，我们将深入了解人工智能的种类，从推动您喜欢的应用的狭义人工智能，到可以像人类一样思考的通用人工智能的梦想。 之后，我们将探索机器学习——人工智能的核心。您将了解到构建机器学习模型的步骤、训练数据的重要性，以及标记数据和非标记数据之间的区别。我们还会分解结构化数据和非结构化数据，因为并非所有数据都是相同的！ 您是否曾好奇Netflix如何知道您接下来想看什么？那是监督学习在发挥作用！或者您的电子邮件如何过滤垃圾邮件？那是非监督学习。我们将用简单的术语和真实的例子来解释这些概念，使其更加易于理解。 此外，我们也会介绍神经网络和深度学习——面部识别和语音助手背后的技术。准备好探索生成式人工智能的激动人心的世界，在这里机器可以创作艺术、写故事，甚至作曲！我们将涵盖基础模型、大型语言模型（如ChatGPT）以及扩散模型——这些都是AI生成图像的魔法。此外，我们还将深入多模态模型，这些模型可以理解文本、图像等！ 我们还将探讨高级主题，如检索增强生成（RAG）和模型输出优化，帮助您理解人工智能系统是如何提供准确和有用的结果的。同时，由于人工智能不仅仅关乎技术，我们还将探讨构建和运行人工智能系统的成本及伦理考量——因为拥有强大技术须承担的责任更是重大！ 课程结束时，您将对人工智能的概念、术语和工具有扎实的理解。无论是为了事业、爱好，还是仅仅满足好奇心，您都将准备好迈出进入人工智能世界的第一步。 那么，您准备好解锁人工智能的力量了吗？让我们开始吧！ 无需编码 • 无需数学 • 只需清晰简明的解释
Welcome to "AI for Beginners 2025: Master the Basics of AI in 1 Hour" - your first step into the fascinating world of AI! In this course, you'll discover:What AI really is (and isn't!)How Machine Learning & Deep Learning powers everyday technologyWhy Generative AI (Gen AI) like ChatGPT is transforming industriesThe core concepts we'll unpack togetherPerfect for complete beginners, this course requires no technical background - just your curiosity! We'll break down complex ideas into simple, relatable examples, preparing you to:✓ Understand AI news and trends✓ Speak confidently about AI terms✓ Explore potential career paths✓ Make informed decisions about AI toolsHere's what you'll learn:We'll start with an Introduction to AI, where we'll explore what artificial intelligence is and how it's shaping industries like healthcare, finance, and entertainment.Then, we'll dive into the Types of AI-from narrow AI that powers your favorite apps to the dream of general AI that can think like a human.Next, we'll explore Machine Learning, the heart of AI. You'll learn about the steps to build a machine learning model, the importance of training data, and the difference between labeled and unlabeled data. We'll also break down structured and unstructured data-because not all data is created equal!Ever wondered how Netflix knows what you want to watch next? That's Supervised Learning at work! Or how your email filters out spam? That's Unsupervised Learning. We'll explain these concepts in simple terms, with real-world examples to make it all click.But we won't stop there! We'll introduce you to Neural Networks and Deep Learning-the technologies behind facial recognition and voice assistants. And get ready to explore the exciting world of Generative AI, where machines can create art, write stories, and even compose music!We'll cover Foundation Models, Large Language Models (LLMs) like ChatGPT, and even Diffusion Models-the magic behind AI-generated images. Plus, we'll dive into Multimodal Models that can understand text, images, and more!We'll also explore advanced topics like Retrieval Augmented Generation (RAG) and Model Output Optimization, so you understand how AI systems deliver accurate and useful results. And because AI isn't just about technology, we'll discuss the Cost of Building and Running AI Systems and the Ethical Considerations-because with great power comes great responsibility!By the end of this course, you'll have a solid understanding of AI concepts, terminologies, and tools. You'll be ready to take your first steps into the world of AI, whether for a career, a hobby, or just to satisfy your curiosity.So, are you ready to unlock the power of artificial intelligence? Let's get started!No coding • No math • Just clear and simple explanations
