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Clinton Hardiman

成为会员时间:2025

为 Looker 信息中心和报告准备数据 Earned Oct 7, 2025 EDT
从 BigQuery 数据中挖掘数据洞见 Earned Oct 6, 2025 EDT
Google Cloud 数据工程简介 Earned Oct 6, 2025 EDT
在 Google Cloud 环境中使用 DevSecOps Earned Sep 24, 2025 EDT
使用 Security Command Center 消除威胁和漏洞 Earned Sep 23, 2025 EDT
使用 Cloud Armor 保护网络安全 Earned Sep 23, 2025 EDT
Google Kubernetes Engine Best Practices: Security Earned Sep 21, 2025 EDT
在 Google Cloud 上实施云安全基础措施 Earned Sep 16, 2025 EDT
构建安全的 Google Cloud 网络 Earned Sep 10, 2025 EDT
[DEPRECATED] AI Boost Bites: Project Notebooks Earned Sep 8, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM for Market Research Earned Sep 8, 2025 EDT
[Deprecated]AI Boost Bites: NotebookLM Video Overviews Earned Sep 8, 2025 EDT
[DEPRECATED] AI Boost Bites: Discover Sources in NotebookLM Earned Sep 8, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM Mind Maps Earned Sep 8, 2025 EDT
[DEPRECATED] AI Boost Bites: Intro to NotebookLM Earned Sep 8, 2025 EDT
AI Boost Bites:邮件内容创作 Earned Sep 8, 2025 EDT
AI Boost Bites:快速创建文档 Earned Sep 8, 2025 EDT
[DEPRECATED] AI Boost Bites: AI Power-Ups for Google Workspace Earned Sep 8, 2025 EDT
AI Boost Bites:借助 AI 轻松管理收件箱 Earned Sep 8, 2025 EDT
AI Boost Bites:Gemini 幻灯片摘要 Earned Sep 8, 2025 EDT
AI Boost Bites:无代码表格与脚本 Earned Sep 8, 2025 EDT
AI Boost Bites:借助 AI 提升高管影响力 Earned Sep 8, 2025 EDT
Observability in Google Cloud Earned Sep 4, 2025 EDT
Logging and Monitoring in Google Cloud Earned Sep 2, 2025 EDT
AI Boost Bites:使用 Gemini Gems生成摘要 Earned Aug 27, 2025 EDT
AI Boost Bites:使用 Gemini 和 Apps 脚本自动执行任务 Earned Aug 26, 2025 EDT
[DEPRECATED] AI Boost Bites: "Eat the Frog" with NotebookLM Earned Aug 26, 2025 EDT
AI Boost Bites:Gemini 图片转表格技巧 Earned Aug 26, 2025 EDT
AI Boost Bites:为您的策略“挑挑刺” Earned Aug 26, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM for Competitive Edge Earned Aug 26, 2025 EDT
AI Boost Bites:借助自定义提示词实现个性化 Earned Aug 26, 2025 EDT
AI Boost Bites:使用 Google 文档和云端硬盘中的 Gemini 快速掌握要点 Earned Aug 26, 2025 EDT
AI Boost Bites:使用 Google Workspace 像专业人士一样撰写提示 Earned Aug 26, 2025 EDT
[DEPRECATED] AI Boost Bites: Customer insights with NotebookLM Earned Aug 26, 2025 EDT
AI Boost Bites:Gemini Gems - 您的终极营销助手 Earned Aug 26, 2025 EDT
Mitigating Security Vulnerabilities on Google Cloud Earned Aug 26, 2025 EDT
Security Best Practices in Google Cloud Earned Aug 25, 2025 EDT
AI Boost Bites:借助 Gemini 轻松生成内容 Earned Aug 7, 2025 EDT
适用于生成式 AI 的机器学习运维 (MLOps) Earned Aug 7, 2025 EDT
生成式 AI 简介 Earned Aug 7, 2025 EDT
面向机器学习的 BigQuery Earned Jul 29, 2025 EDT
Manage Security in Google Cloud Earned Jul 21, 2025 EDT
生成式 AI 智能体:助力组织转型 Earned Jul 9, 2025 EDT
生成式 AI 应用:改变工作方式 Earned Jul 8, 2025 EDT
生成式 AI:全面了解生成式 AI Earned Jul 8, 2025 EDT
Networking in Google Cloud: Hybrid and Multicloud Earned Jul 8, 2025 EDT
生成式 AI:剖析基本概念 Earned Jul 8, 2025 EDT
生成式 AI:不只是聊天机器人 Earned Jul 7, 2025 EDT
Networking in Google Cloud: Load Balancing Earned Jul 5, 2025 EDT
Networking in Google Cloud: Network Security Earned Jul 3, 2025 EDT
Networking in Google Cloud: Network Architecture Earned Jun 19, 2025 EDT
Networking in Google Cloud: Routing and Addressing Earned Jun 16, 2025 EDT
Networking in Google Cloud: Fundamentals Earned Jun 8, 2025 EDT
Google Cloud 基础知识:核心基础设施 Earned May 31, 2025 EDT
Build a Certification Study Guide: PCSE Exam Prep Earned May 18, 2025 EDT

完成为 Looker 信息中心和报告准备数据入门级技能徽章课程, 展现您在以下方面的技能:对数据进行过滤、排序和透视;将来自不同 Looker 探索的结果合并; 以及使用函数和运算符构建 Looker 信息中心和报告以用于数据分析和可视化。

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完成入门级技能徽章课程“从 BigQuery 数据中挖掘数据洞见”,展示您在以下方面的技能: 编写 SQL 查询、查询公共表、将示例数据加载到 BigQuery 中、 在 BigQuery 中使用查询验证器排查常见的语法错误,以及通过连接到 BigQuery 数据在 Data Studio 中 创建报告。

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在本课程中,您将了解 Google Cloud 数据工程、数据工程师的角色和职责,以及相关的 Google Cloud 产品和服务。您还将了解如何应对数据工程挑战。

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在本课程中,您将学习在 Google Cloud 上实施安全高效的 DevSecOps 实践所需的基本技能。您将学习如何使用 Artifact Registry、 Cloud Build、Cloud Deploy 和 Binary Authorization 等 Google Cloud 服务来保护开发流水线。这使您能够在整个 CI/CD 流水线中构建、测试和部署具有安全控制机制的容器化应用。

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完成中级技能徽章课程使用 Security Command Center 消除 威胁和漏洞,展示您在以下方面的技能: 预防和管理环境威胁、识别和缓解应用漏洞,以及应对安全异常。

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了解如何保护 Google Cloud 上的部署安全, including: 如何使用 Cloud Armor 漫游器管理功能来降低漫游器风险并控制来自自动化客户端的访问; 使用 Cloud Armor 拒绝清单来限制或允许 对 Google Cloud 边缘处的 HTTP(S) 负载均衡器的访问; 应用 Cloud Armor 安全政策来限制对 Cloud CDN 和 Google Cloud Storage 上的缓存对象的访问; 以及使用 Cloud Armor WAF 规则来降低常见漏洞风险.

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Get Anthos Ready. This Google Kubernetes Engine-centric quest of best practice hands-on labs focuses on security at scale when deploying and managing production GKE environments -- specifically role-based access control, hardening, VPC networking, and binary authorization.

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完成在 Google Cloud 上实施云安全基础措施技能徽章中级课程, 展示自己在以下方面的技能:使用 Identity and Access Management (IAM) 创建和分配角色; 创建和管理服务账号;跨虚拟私有云 (VPC) 网络实现专用连接; 使用 Identity-Aware Proxy 限制应用访问权限; 使用 Cloud Key Management Service (KMS) 管理密钥和加密数据;创建专用 Kubernetes 集群。

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完成构建安全的 Google Cloud 网络课程,赢取技能徽章。在此课程中,您将了解与网络有关的众多 资源,以便在 Google Cloud 上构建、扩缩和保护自己的应用。

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This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.

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This video covers how to use NotebookLM for common marketing tasks like analyzing customer feedback, conducting market research, and generating content ideas.

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This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.

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This video covers how to use the 'Discover Sources' feature in NotebookLM to find and import relevant web-based sources directly into your research project.

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This video covers how to use the Mind Maps feature in NotebookLM to automatically create a visual representation of your sources, helping you understand connections and key concepts.

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This video covers how to use NotebookLM as a personal research assistant by adding sources, asking questions, and generating new content formats based on your documents.

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本视频介绍了如何在 Gmail 中使用 Gemini 起草新邮件、调整语气、结合云端硬盘文件的上下文进行回复,以及使用智能回复建议。

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本视频介绍了如何使用 Google 文档中的“帮我创作”功能,通过引用云端硬盘中其他文件的内容,生成格式完整的文档。

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This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.

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本视频介绍如何使用 Gmail 中的 Gemini 来总结邮件、查找信息和起草回复,帮助您更高效地管理收件箱。

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本视频介绍了如何使用 Google 幻灯片中的 Gemini 自动生成会议回顾并起草跟进邮件,助您精简会后工作流,节省宝贵时间。

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本视频将介绍如何借助 Google 表格中 Gemini 强大的 AI 功能,在数分钟内轻松提取数据并生成分析洞见,完全无需任何技术或编程背景。

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本视频将介绍如何利用 Gemini Gem,以领导者的独特口吻撰写真实的社交媒体帖子。了解如何通过写作示例和清晰指令来训练 Gem,从而克服高管社交媒体影响力难以规模化的挑战。了解如何快速生成引人入胜的帖子,在节省时间的同时,提升思想领导力并确保真实性。

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Welcome to Observability in Google Cloud, the second part of a two-part course series. It is suggested that you complete part 1, Logging and Monitoring in Google Cloud, prior to taking this course. This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.

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Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.

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本视频将介绍如何创建自己的 Brevity Gem,将杂乱的笔记或长文档总结并转换为清晰、简洁、高管可直接使用的摘要。

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本视频介绍如何借助 Gemini 与 Apps 脚本,实现跨 Google Workspace 各项手动任务的自动化。您将学习如何编写提示词让 Gemini 生成 Apps 脚本代码,从而在 Google 表格中自动为未标记为“完成”的任务起草邮件提醒。几乎无需任何技术专业背景,即可实现工作流自动化,从而腾出时间专注于更重要的工作,彻底告别繁琐的手动跟进。

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This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.

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本视频介绍了如何使用 Gemini 消除繁琐的手动数据录入。了解如何拍摄数据照片或截取数据屏幕截图(来自 PDF、纸质文档或图片),然后提示 Gemini 立即将其转换为结构化的 Google 表格。探索这个简单技巧,让 Gemini 成为您的个人数据录入助理,节省大量转写数据的时间。只需拍照、撰写提示并导出即可!

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本视频将向您介绍如何利用 AI 识别策略中的弱点和潜在假设。您将学习“挑刺”法,这是一种借助 AI 提示词对方案进行压力测试的简便方法,有助于查漏补缺并强化战略思维。

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This video will cover how to use NotebookLM to gather and analyze publicly available information, combine it with internal documents, and extract key competitive insights.

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本视频介绍如何在 Google Workspace 中定制个性化的 Gemini 输出结果。了解如何使用“@”符号将文档和研究论文直接引入提示词,从而获得更具针对性、契合您特定需求的相关 AI 输出。

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本视频将介绍如何在 Google Workspace 中使用 Gemini 总结长文档,以便快速获取所需信息并节省时间。您将学习如何使用 Gemini 总结整个文档或仅所选文本,以及如何使用云端硬盘中的 Gemini 跨多个文件进行总结。

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本视频介绍了提示工程的基础知识,帮助您与 AI 进行有效沟通。学习一个简单的框架(角色设定、任务、背景信息、格式),以便撰写清晰的提示,从而更快地从 Google Workspace 中的 Gemini 获得更理想的结果。了解如何使用自然语言、具体说明和迭代来获得最佳 AI 辅助。

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This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.

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本视频介绍了如何创建自己的 Gemini Gem,这是一种高级 AI 功能,可以自动执行重复性任务并大幅提升工作效率。

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In this self-paced training course, participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. They also learn about the Security Command Center, cloud logging and audit logging, and using Forseti to view overall compliance with your organization's security policies.

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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Storage access control technologies, Security Keys, Customer-Supplied Encryption Keys, API access controls, scoping, shielded VMs, encryption, and signed URLs. It also covers securing Kubernetes environments.

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本视频将介绍如何在 Google 文档中借助 Gemini 先进的 AI 功能来构思创意、起草各类营销内容,并与团队开展协作。

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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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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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想要仅使用 SQL 就能在几分钟内构建机器学习模型,而不是花费数小时?BigQuery 借助机器学习,数据分析师能够使用现有的 SQL 工具和技能创建、训练、评估机器学习模型,并使用这些模型进行预测, 从而实现机器学习的普及。在 本系列实验中,您将尝试不同的模型类型,并了解 如何构建出色的模型。

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This course provides foundational knowledge for securing your Google Cloud environment. You will learn Google Cloud's security model, including Zero Trust principles and the Shared Fate model. You will configure identity services like Cloud Identity and Workforce Identity Federation, manage access control using Identity and Access Management (IAM) roles, conditions, and policies, and implement network security controls such as VPCs, Cloud Firewall tiers, and VPC Service Controls to build a secure perimeter. As the foundation of the Security in Google Cloud learning path, this course establishes the core principles required for two subsequent specialized tracks: the five-course Security Best Practices in Google Cloud series and the four-course Mitigate Threats in Google Cloud series.

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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“Gen 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与世界的互动方式。作为领导者,应该如何利用生成式 AI 来推动实际业务成果?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/服务,以及选择解决方案时需要考虑的因素。

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Welcome to the sixth course in our Networking and Google Cloud series, Hybrid and Multicloud. The first module will walk you through various cloud connectivity options, with a deep dive into Cloud Interconnect, exploring its different types and functionalities. In the second module, we'll cover Cloud VPN, discussing its implementation, high availability, VPN topologies, and the Network Connectivity Center for streamline management. By the end of this course, you will be able to explain the different connectivity options available to extend your on-premises and other cloud networks to Google Cloud, and analyze the suitability of different Google Cloud hybrid and multicloud connectivity services for specific use cases.

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生成式 AI:剖析基本概念是“Gen AI Leader”学习路线的第二门课程。在本课程中,您将探索 AI、机器学习和生成式 AI 之间的差异,了解各种数据类型如何赋能生成式 AI 来应对业务挑战,从而了解生成式 AI 的基本概念。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 开发与部署面临哪些关键挑战。

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生成式 AI:不只是聊天机器人是 Gen AI Leader 学习路线的第一门课程,没有前提条件要求。本课程旨在带您超越对聊天机器人的浅层认知,深入挖掘生成式 AI 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,它们对于利用生成式 AI 的强大功能至关重要。本课程还将提供指导,让您了解在为组织制定成功的生成式 AI 策略时,应考虑哪些重要因素。

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This training course builds on the concepts covered in the Networking in Google Cloud: Fundamentals course. Through presentations, demonstrations, and labs, participants explore and implement Cloud Load Balancing.

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Welcome to the fourth course of the "Networking in Google Cloud" series: Network Security! In this course, you'll dive into the services for safeguarding your Google Cloud network infrastructure. The first module, Distributed Denial of Service (DDoS) Protection, covers how to fortify your network against Distributed Denial of Service (DDoS) attacks, ensuring uninterrupted availability of your services. In the second module, Controlling Access to VPC Networks, you'll learn the network access control, enabling you to define permissions for who can access your resources and how. Finally, in the third module, Advanced Security Monitoring and Analysis, we'll explore how to proactively detect and respond to potential threats, keeping your Google Cloud environment secure and resilient. By the end of this course, you'll have a comprehensive understanding of Google Cloud network security.

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Welcome to the third course of the "Networking in Google Cloud" series: Network Architecture! In this course, you will explore the fundamentals of designing efficient and scalable network architectures within Google Cloud. In the first module, Introduction to Network Architecture, we'll start by introducing you to the core components and concepts of network architecture, including subnets, routes, firewalls, and load balancing. Then in the second module, network topologies, we'll dive into various network topologies commonly used in Google Cloud, discussing their strengths, and weaknesses.

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Welcome to the second course in the networking and Google Cloud series routing and addressing. In this course, we'll cover the central routing and addressing concepts that are relevant to Google Cloud's networking capabilities. Module one will lay the foundation by exploring network routing and addressing in Google Cloud, covering key building blocks such as routing IPv4, bringing your own IP addresses and setting up cloud DNS. In Module two will shift our focus to private connection options, exploring use cases and methods for accessing Google and other services privately using internal IP addresses. By the end of this course, you'll have a solid grasp of how to effectively route and address your network traffic within Google Cloud.

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Networking in Google cloud is a 6 part course series. Welcome to the first course of our six part course series, Networking in Google Cloud: Fundamentals.  This course provides a comprehensive overview of core networking concepts, including networking fundamentals, virtual private clouds (VPCs), and the sharing of VPC networks. Additionally, the course covers network logging and monitoring techniques. 

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“Google Cloud 基础知识:核心基础设施”介绍在使用 Google Cloud 时会遇到的重要概念和术语。本课程通过视频和实操实验来介绍并比较 Google Cloud 的多种计算和存储服务,并提供重要的资源和政策管理工具。

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Security Engineer certification exam. You'll review Gemini Notebook features, create a notebook, and learn how to use a study guide to practice for the certification exam.

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