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Calvin Dang

成为会员时间：2025

钻石联赛

11171 积分
负责任的 AI 简介 Earned Apr 12, 2026 EDT
Architect Customer Engagement Suite with Google AI Earned Apr 11, 2026 EDT
AI Infrastructure：Cloud GPU Earned Apr 10, 2026 EDT
AI Infrastructure：AI Hypercomputer 简介 Earned Apr 10, 2026 EDT
Scaling with Google Cloud Operations Earned Apr 9, 2026 EDT
Trust and Security with Google Cloud Earned Apr 9, 2026 EDT
Modernize Infrastructure and Applications with Google Cloud Earned Apr 9, 2026 EDT
Innovating with Google Cloud Artificial Intelligence Earned Apr 9, 2026 EDT
Exploring Data Transformation with Google Cloud Earned Apr 8, 2026 EDT
Digital Transformation with Google Cloud Earned Apr 7, 2026 EDT
打造您的首个 Gemini Enterprise 应用 Earned Apr 5, 2026 EDT
企业智能体及其应用场景 Earned Apr 5, 2026 EDT
智能体基础知识 Earned Apr 2, 2026 EDT
AI 智能体简介 Earned Apr 2, 2026 EDT
适用于生成式 AI 的机器学习运维 (MLOps) Earned Apr 2, 2026 EDT
生成式 AI 智能体：助力组织转型 Earned Apr 2, 2026 EDT
生成式 AI 应用：改变工作方式 Earned Mar 31, 2026 EDT
生成式 AI: 全面了解生成式 AI Earned Mar 30, 2026 EDT
生成式 AI：剖析基本概念 Earned Mar 28, 2026 EDT
生成式 AI：不只是聊天机器人 Earned Mar 27, 2026 EDT
生成式 AI 简介 Earned Mar 26, 2026 EDT
注意力机制 Earned Nov 25, 2025 EST
图像生成简介 Earned Nov 25, 2025 EST

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。

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In this course, you'll dive deep into the essential topics you need to know to design, build, and maintain a powerful CES solution. Get ready to transform your understanding of what's possible and create an architecture that drives customer satisfaction. This course is designed to introduce you to the architecture of the Customer Engagement Suite (CES). You'll explore the main considerations for building and implementing Conversational AI solutions including key architectural components and integrations. You'll also explore how Conversational AI interacts with Vertex AI and get a high-level overview of the key features of the Conversational AI Platform.

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对 AI 背后的强大硬件感到好奇吗？本单元将详细讲解性能经过优化的 AI 计算机，向您展示它们为何如此重要。我们将探讨 CPU、GPU 和 TPU 如何让 AI 任务高速运行，介绍它们各自的特点，并说明 AI 软件是如何充分发挥这些硬件的性能的。学习结束后，您将清楚地知道如何为自己的 AI 项目选择合适的 GPU，从而为 AI 工作负载做出明智的决策。

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准备好探索 AI Hypercomputer 了吗？这门课程将带您轻松入门！我们将介绍相关基础知识，并阐释它们如何助力 AI 处理 AI 工作负载。您将了解超级计算机内部的各个组件，如 GPU、TPU 和 CPU，并知晓如何根据您的需求选择合适的部署方法。

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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打造您的首个 Gemini Enterprise 应用，赢得技能徽章！将各种数据源连接到您的应用中，构建强大、统一的搜索和分析引擎。掌握进阶能力，如：深度研究型智能体、多智能体协同构思，以及用于进行聚焦式分析的 NotebookLM。

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了解 AI 智能体如何为业务带来实际影响。您将把智能体类型关联到您的关键绩效指标 (KPI)，并探索能够解决实际瓶颈的用例。然后，您将了解 Gemini Enterprise 如何帮助您构建和编排合适的智能体，其范围涵盖从无代码到高代码的各种解决方案。

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AI 智能体代表着超越传统大语言模型 (LLM) 的重大转变：AI 智能体不再仅仅只是生成基于文本的解决方案，更能自主行动来执行这些方案。 本课程将介绍 AI 智能体的基础知识、AI 智能体与 LLM API 的区别，以及 AI 智能体在现实世界中的价值所在。本课程基于 Google 的智能体白皮书，将为您提供必要的理论基础知识，以助您编写首行智能体代码 — 非常适合希望从自主、目标导向行为（而不仅仅是文本生成）的角度理解 AI 系统的开发者、架构师和技术决策者。 加入社区论坛，提出问题并参与讨论。

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大致了解 AI 智能体的概念。了解 AI 智能体如何通过自主行动和推理来解决复杂问题。您将探索技术架构（模型、工具和编排），该架构使智能体能够学习、规划，并为您实现目标。

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本课程致力于为您提供所需的知识和工具，让您能够了解 MLOps 团队在部署和管理生成式 AI 模型以及探索 Vertex AI 如何帮助 AI 团队简化 MLOps 流程时面临的独特挑战，并帮助您在生成式 AI 项目中取得成功。

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“生成式 AI 智能体：助力组织转型”是“Gen AI Leader”学习路线中的第五门课程，也是最后一门课程。本课程探讨了组织如何使用量身定制的生成式 AI 智能体，帮助应对特定的业务挑战。您将亲自动手构建一个基本的生成式 AI 智能体，并探索这些智能体的组成部分，例如模型、推理循环以及各种工具。

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“生成式 AI 应用：改变工作方式”是 Generative AI Leader 学习路线的第四门课程。本课程介绍 Google 的生成式 AI 应用，例如 Gemini for Workspace 和 NotebookLM。它将引导您逐一了解接地、检索增强生成、构建有效提示和构建自动化工作流等概念。

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“生成式 AI: 全面了解生成式 AI”是 Generative AI Leader 学习路线中的第三门课程。生成式 AI 正在改变我们的工作方式,以及我们与周围世界的互动方式。作为领导者,应该如何利用生成式 AI 来推动实现实际的业务成果?在本课程中,您将探索构建生成式 AI 解决方案的不同层级、Google Cloud 的产品,以及选择解决方案时需要考虑的因素。

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“生成式 AI: 剖析基本概念”是 Generative AI Leader 学习路线中的第二门课程。在本课程中,您将了解生成式 AI 的基本概念。您要探索 AI、机器学习和生成式 AI 之间的区别,了解各种数据类型如何赋能生成式 AI,从而应对各种业务挑战。您还将深入了解 Google Cloud 应对基础模型局限性的策略,以及负责任和安全的 AI 开发与部署面临着哪些关键挑战。

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“生成式 AI：不只是聊天机器人”是 Generative AI Leader 学习路线中的第一门课程。学习本课程没有知识门槛。本课程旨在帮助您超越对聊天机器人的基本认知,探索生成式 AI技术为您的组织带来的真正潜力。您将探索基础模型和提示工程等概念,这些知识对利用生成式 AI 的强大功能至关重要。本课程还将说明,为组织制定成功的生成式 AI 策略时,需要考虑哪些重要因素。

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这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。

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本课程将向您介绍注意力机制，这是一种强大的技术，可令神经网络专注于输入序列的特定部分。您将了解注意力的工作原理，以及如何使用它来提高各种机器学习任务的性能，包括机器翻译、文本摘要和问题解答。

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本课程向您介绍扩散模型。这类机器学习模型最近在图像生成领域展现出了巨大潜力。扩散模型的灵感来源于物理学，特别是热力学。过去几年内，扩散模型成为热门研究主题并在整个行业开始流行。Google Cloud 上许多先进的图像生成模型和工具都是以扩散模型为基础构建的。本课程向您介绍扩散模型背后的理论，以及如何在 Vertex AI 上训练和部署此类模型。

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