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Rujal Sangani

成为会员时间：2026

钻石联赛

40265 积分
Arcade Simulator: Site Reliability Engineer Earned Oct 27, 2026 EDT
Arcade Adventure: Google Cloud ML APIs Earned Oct 12, 2026 EDT
Arcade Base Camp October 2026 Earned Oct 12, 2026 EDT
Arcade Voyage: Language, Voice, and Multimodal Processing Earned Oct 9, 2026 EDT
Build a Certification Study Guide: ACE Exam Prep Earned Aug 23, 2026 EDT
AI Infrastructure：Cloud TPU Earned Aug 23, 2026 EDT
Spans and Plans Earned Aug 22, 2026 EDT
Serverless Data Processing with Dataflow: Foundations Earned Aug 20, 2026 EDT
AI 基础设施：部署类型 Earned Aug 18, 2026 EDT
打造您的首个 Gemini Enterprise 应用 Earned Aug 17, 2026 EDT
Arcade Voyage: Google Sheets Earned Aug 17, 2026 EDT
Arcade Simulator: Network Security Engineer Earned Aug 17, 2026 EDT
借助 Google Cloud 人工智能进行创新 Earned Aug 17, 2026 EDT
使用 Google Cloud Operations 进行扩缩 Earned Aug 17, 2026 EDT
Google Cloud 带来信任与安全 Earned Aug 17, 2026 EDT
Orchestrate Workflows with the Data Agent Kit Earned Aug 16, 2026 EDT
Build Agent Skills with Google Earned Aug 16, 2026 EDT
利用工具为智能体注入强大功能 Earned Aug 16, 2026 EDT
管理智能体记忆和状态 Earned Aug 16, 2026 EDT
优化智能体行为 Earned Aug 16, 2026 EDT
Google Threat Intelligence Earned Aug 16, 2026 EDT
Security Command Center: Vulnerabilities and Misconfigurations Earned Aug 16, 2026 EDT
Google 云端硬盘中的 Gemini Earned Aug 13, 2026 EDT
Google Chat 中的 Gemini Earned Aug 13, 2026 EDT
Google Meet 中的 Gemini Earned Aug 13, 2026 EDT
Google 表格中的 Gemini Earned Aug 13, 2026 EDT
Google 幻灯片中的 Gemini Earned Aug 13, 2026 EDT
Google 文档中的 Gemini Earned Aug 13, 2026 EDT
Gmail 中的 Gemini Earned Aug 13, 2026 EDT
内置 Gemini 的 Google Workspace：AI 工作流基础知识 Earned Aug 13, 2026 EDT
Security Command Center Fundamentals Earned Aug 10, 2026 EDT
Security Command Center Enterprise 使用入门 Earned Aug 10, 2026 EDT
Build a Certification Study Guide: PSOE Exam Prep Earned Aug 10, 2026 EDT
借助 Google Antigravity 快速起步：使用 AI 构建电子游戏 Earned Aug 9, 2026 EDT
Arcade Base Camp August 2026 Earned Aug 9, 2026 EDT
Model Armor：保障 AI 部署安全 Earned Aug 9, 2026 EDT
Google Cloud Agent Governance and Security Earned Aug 9, 2026 EDT
保护企业 AI 智能体 Earned Aug 9, 2026 EDT
对话设计基础知识 Earned Aug 4, 2026 EDT
Customer Experience Agent Studio：基础知识 Earned Aug 4, 2026 EDT
构建 Gemini Enterprise for Customer Experience 架构 Earned Aug 4, 2026 EDT
对话式 AI 及其互动框架 Earned Aug 4, 2026 EDT
Conversational Insights Earned Aug 4, 2026 EDT
Plan Your Cloud Next Generation Firewall Needs Earned Jul 31, 2026 EDT
Build a Certification Study Guide: PCNE Exam Prep Earned Jul 31, 2026 EDT
使用 Google Cloud 进行基础设施和应用的现代化改造 Earned Jul 31, 2026 EDT
使用 Google Cloud 探索数据转换 Earned Jul 31, 2026 EDT
利用 Google Cloud 实现数字化转型 Earned Jul 31, 2026 EDT
优化 Google Kubernetes Engine 的费用 Earned Jul 31, 2026 EDT
Google DeepMind : 08 Capstone: Develop Your Model for Real-World Impact Earned Jul 30, 2026 EDT
Google DeepMind: 07 Accelerate Your Model Earned Jul 30, 2026 EDT
Google DeepMind: 05 Fine-Tune Your Model Earned Jul 30, 2026 EDT
Google DeepMind: 04 Discover The Transformer Architecture Earned Jul 30, 2026 EDT
Google DeepMind: 03 Design And Train Neural Networks Earned Jul 30, 2026 EDT
Google Security Operations - Deep Dive Earned Jul 30, 2026 EDT
Introduction Google Security Operations (SOAR) Earned Jul 30, 2026 EDT
Introduction to Google Security Operations (SIEM) Earned Jul 30, 2026 EDT
Introduction to Google Security Operations: Unified SecOps Earned Jul 30, 2026 EDT
Arcade Voyage: Cloud Storage and Data Governance Earned Jul 28, 2026 EDT
Arcade Simulator: Data Mesh Architect Earned Jul 28, 2026 EDT
企业智能体及其应用场景 Earned Jul 27, 2026 EDT
智能体基础知识 Earned Jul 27, 2026 EDT
AI Boost Bites：您的个人反馈智能体 Earned Jul 27, 2026 EDT
面向开发者的 Responsible AI：公平性与偏见 Earned Jul 27, 2026 EDT
利用 Vertex AI 实现机器学习运维 (MLOps)：模型评估 Earned Jul 27, 2026 EDT
适用于生成式 AI 的机器学习运维 (MLOps) Earned Jul 27, 2026 EDT
Arcade Base Camp July 2026 Earned Jul 26, 2026 EDT
Arcade Adventure: Low-Code Development Earned Jul 25, 2026 EDT
用 AppSheet 来构建应用 Earned Jul 19, 2026 EDT
使用 Security Command Center 消除威胁和漏洞 Earned Jul 18, 2026 EDT

Welcome to this month's Arcade Simulator, where you'll step into the shoes of a Site Reliability Engineer tasked with keeping production fast and resilient. You'll build automated CI/CD pipelines with Cloud Build, store artifacts securely, and manage Kubernetes rollouts on GKE. Then, configure custom VPC networks, lock down firewalls, and benchmark VM latency to eliminate performance bottlenecks. Clear both challenge labs to prove you can automate releases, secure infrastructure, and maintain rock-solid uptime.

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Teaching computers to see and listen is a lot easier when you have pre-trained machine learning APIs doing the heavy lifting. In this adventure, you'll start by querying Google Cloud endpoints directly from APIs Explorer, then teach your applications to read multilingual text, recognize facial features, and spot landmarks in raw photos. Once your visual pipeline is dialed in, you'll turn to audio—converting spoken words into real-time transcripts and streaming live audio directly through web interfaces. Knock out both challenge labs unassisted to prove you can turn unstructured sight and sound into clean, actionable cloud intelligence.

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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!

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Transforming unstructured multimedia into searchable, structured data is the core of modern cognitive computing. In this voyage, you'll analyze sentiment and extract entities using the Cloud Natural Language API, pairing language workflows with Apache Spark to demonstrate big-data scalability. From there, you'll branch into multimodal synthesis—generating lifelike audio using Text-to-Speech, bridging global barriers with the Cloud Translation API, and annotating video streams via Video Intelligence. Complete both challenge labs to prove you can deploy pre-trained models that read, speak, translate, and inspect content at scale.

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

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欢迎学习 Cloud TPU 课程。我们将探讨 TPU 在不同场景下的优势和劣势，并比较不同的 TPU 加速器，以帮助您选择合适的加速器。您将了解可通过哪些策略充分提高 AI 模型的性能和效率，并理解 GPU/TPU 互操作性对于创建灵活的机器学习工作流程的重要性。通过引人入胜的课程内容和实际演示，您将逐步了解如何有效利用 TPU。

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It’s all about global spans and execution plans. First, you'll get under the hood of Google Cloud Spanner to design schemas, load data at scale, and master query plan optimization. From there, you'll execute your serverless backend plan by wiring up Cloud Run Functions, Pub/Sub messaging, and API Gateway. Packed with two challenge labs, you'll leave with full control over enterprise data and event-driven APIs.

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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.

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本课程全面指导如何在 Google Cloud 上部署、管理和优化 AI 和高性能计算 (HPC) 工作负载。通过一系列课程和实际演示，您将探索从基于 Google Compute Engine (GCE) 的高度可定制环境，到 Google Kubernetes Engine (GKE) 等托管式解决方案的各种部署策略。具体来说，您将学习如何创建集群并部署 GKE 进行推理。

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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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Transforming raw spreadsheet data into structured business intelligence requires precise validation, efficient navigation, and dynamic visual reporting. This voyage path builds core analytical competencies using Google Sheets. You will begin by implementing strict data validation rules, configuring targeted search workflows, and ensuring data integrity across large datasets. You will then advance to building dynamic charts and executing complex analytical formulas to extract meaningful insights. Finalized with a comprehensive challenge lab, this voyage prepares you to build reliable, presentation-ready analytical workbooks.

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Welcome to this month's Arcade Simulator where you will step into the shoes of a Network Security Engineer. In this simulation, you'll first lock down access control across your infrastructure—crafting custom IAM roles, scripting permissions, and setting up Identity-Aware Proxy to secure user authentication without traditional VPNs. Then, you'll take control of hybrid enterprise topology, using Network Connectivity Center to link multi-cloud networks, VPCs, and site-to-site HA-VPNs. Complete with two realistic challenge labs, this simulation equips you to eliminate access blind spots, secure cross-cloud traffic, and build a fortress-grade network on Google Cloud.

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人工智能 (AI) 和机器学习 (ML) 代表着信息技术领域的重要演变，正在迅速改变各行各业。《利用 Google Cloud 人工智能进行创新》探讨了组织如何使用 AI 和机器学习来转变业务流程。 本课程是“Cloud Digital Leader 学习路线”的一部分，旨在帮助个人在自己的角色中不断成长，并为企业谋求未来发展。

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各种规模的组织都在利用云的强大功能和灵活性来改变运营方式。然而，有效管理和扩缩云资源可能是一项复杂的任务。本课程探讨了云中现代运营、可靠性和弹性方面的基本概念，以及 Google Cloud 如何帮助支持这些工作。 作为 Cloud Digital Leader 学习路线的一部分，本课程旨在帮助个人在自己的岗位上成长，并为企业谋求未来发展。

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随着组织将数据和应用迁移到云端，他们必须妥善应对快速变化的安全挑战格局。本课程将探讨云安全基础知识、Google Cloud 基于安全性设计的基础设施的价值以及纵深防御策略，并重点介绍依托 AI 的运营和合规工具如何帮助组织满足严格的全球监管要求。 作为“Cloud Digital Leader 学习路线”的一部分，本课程旨在帮助个人提升职业素养，并为企业谋求未来发展。

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This course brings AI-driven, natural-language data engineering into the IDE and CLI workflows you already use. Built on the Agent Development Kit (ADK), the Data Agent Kit connects to a wide array of Google Cloud services, including BigQuery, Spanner, BigLake, Dataproc, and Managed Airflow. By using it, you can collapse days of pipeline scaffolding, data build tool (dbt) authoring, and orchestration wiring into prompt-driven sessions. As an intermediate-to-advanced practitioner, you will learn to build a data agent with the Agent Development Kit (ADK). You'll wire up the Model Context Protocol (MCP) layer, and use your agent to explore catalogs, transform data, train models, and orchestrate scheduled pipelines on Google Cloud.

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Close the gap between general AI capabilities and your domain knowledge through Agent Skills. This course walks you through the full lifecycle of custom skill building, from local scaffolding and testing to enterprise scaling and sharing using Google's agent ecosystem, including Google Antigravity, ADK, and Skill Registry. Additionally, you use Google Agents CLI toolkit to attach skills to standalone 24/7 cloud agents, equipping your team with reliable, autonomous digital coworkers.

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您已经构建了具有高级配置的智能体，现在可赋予它们实际应用能力。为智能体配备能够搜索网络、执行代码、查询数据库和执行自定义操作的工具。让智能体从“智能回答者”转变为能够自主采取行动的得力助手。 探索 Gemini Enterprise Agent Ready (GEAR) 计划中的其他内容。 加入社区论坛，提出问题并参与讨论。

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您已经构建了能够回答查询的基本 LLM 智能体，现在让我们为其赋予状态。使用会话状态来构建能够维护上下文、记住用户偏好并提供个性化体验的智能体。将智能体从“无状态的回复者”转变为“智能助理”。 探索 Gemini Enterprise Agent Ready (GEAR) 计划中的其他内容。 加入社区论坛，提出问题并参与讨论

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您已经创建了自己的第一个智能体，现在是时候更进一步了。在本课程中，您将通过学习应用高级指令、模型选择、规划功能以及结构化输出模式来精进技能，将基础 AI 智能体升级为一个精确、专业的智能助理。探索 Gemini Enterprise Agent Ready (GEAR) 计划中的其他内容。 加入社区论坛，提出问题并参与讨论。

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Google Threat Intelligence 能够向全球各地的安全团队及时提供详细的威胁情报，帮助其更好地监测威胁。本课程将介绍 Google Threat Intelligence 的各项功能，以及各类组织借助该产品主动缓解威胁的常见方式。

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Learn how to use Security Command Center (SCC) to triage vulnerabilities and misconfigurations identified by platform security detectors. 

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本课程介绍如何在 Google 云端硬盘中使用 Gemini 来管理和检索文件。了解如何使用自然语言定位资源、在无需打开文件的情况下通过 AI 概览直接提取特定事实、即时总结多种媒体格式的内容，并将文件集合保存为“项目”以进行可重复的研究。

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本课程介绍如何使用 Google Chat 中的 Gemini 来简化商务消息收发。了解如何利用摘要功能过滤通知干扰，使用自然语言搜索功能查找深埋的决策信息，以及借助实时写作工具优化消息语气。

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本课程介绍如何使用 Google Meet 中的 Gemini 来提升视频协作体验。了解如何自动生成会议记录、利用实时文本和语音翻译功能、在不打扰他人的情况下快速了解错过的讨论，以及即时优化音视频质量。

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本课程介绍如何使用 Google 表格中的 Gemini 自动整理数据和处理复杂数字。了解如何根据原始文本构建表格、使用自然语言自动填充数据、按需生成原生电子表格公式，以及快速提取高级分析洞见或可视化图表，而无需具备高级电子表格专业知识。

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本课程将介绍如何利用 Google 幻灯片中的 Gemini 将构思转化为极具视觉冲击力的演示文稿。学习如何通过单个提示词或现有源文档生成结构化幻灯片组，利用自动设计增强功能优化布局，创建自定义矢量图和照片，并动态撰写幻灯片正文及精准的演讲者备注。

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本课程介绍如何使用 Google 文档中的 Gemini 来简化写作和内容创作。了解如何从头开始起草文档，使用互动式工具优化写作语气和清晰度，总结复杂文件，以及将长篇文本无缝转换为适用于其他 Google Workspace 应用的结构化资产。

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本课程介绍如何使用 Gmail 中的 Gemini 来优化邮件管理。了解如何总结冗长的会话串、使用自然语言检索信息、起草专业回复，以及直接在收件箱中整理沟通策略。

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Gemini for Google Workspace 可在 Google Workspace 中为客户提供生成式 AI 功能。在本学习路线中，您将了解 Gemini 的主要功能，以及如何在 Google Workspace 中使用它们来提高工作效率。

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Learn about the fundamental features of Security Command Center on Google Cloud. Spend time in this course to understand assets, detection and compliance. Security Command Center is a key part of your Google Cloud security journey, complete these modules and quiz to earn a completion badge.

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本课程全面概述了 Google Cloud Security Command Center (SCC) Enterprise，这是一个云原生应用保护平台 (CNAPP) 解决方案，可帮助组织预防、检测和应对整个 Google Cloud 服务中的威胁。 您将了解 SCC Enterprise 的核心功能，包括增强型威胁检测、深度漏洞管理和集成式案例管理。 本课程也会介绍威胁管理和漏洞评估方面的基本概念，并实际演示如何使用 SCC Enterprise 来识别、调查和修复多云环境中的安全风险。

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

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在本课程中，您将学习如何在 Google Antigravity 中编排智能体，以极快的速度构建软件。在本实操课程中，您将首先学习如何安装和开始使用 Antigravity。接下来，您将使用 Firebase 为使用 Antigravity 构建的应用启用服务。最后，您将通过提示 Antigravity 中的智能体并行工作，来构建电子游戏《Voyager》。

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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!

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本课程回顾了 Model Armor 的基本安全功能，并让您能够使用该服务。您将了解与 LLM 相关的安全风险，以及 Model Armor 如何保护您的 AI 应用。

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As enterprise teams transition to autonomous AI agents, security evolves toward proactive, identity-centric protection. In this course, you will implement a zero-trust security architecture for Cymbal Banking's underwriting platform using the Gemini Enterprise Agent Platform. By deploying a regional Egress Agent Gateway, configuring Model Armor and Semantic Governance (SGP) safety templates, assigning cryptographic SPIFFE identities to agent runtimes, and declaring a VPC-SC perimeter in Terraform, you will protect database boundaries and manage tools with production-grade governance.

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了解如何在 Google Cloud 上保护和治理 AI 智能体。本课程提供了一个实用的路线图，可帮助您保护智能体记忆，通过 IAM 和 VPC Service Controls 实施严格的访问权限控制，并部署实时对话防护措施，从而确保企业部署安全合规。

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本课程将探讨对话设计的基本原则，助您打造引人入胜且有效的聊天机器人，模拟真人般的对话体验。

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本课程旨在让对话设计师和构建者掌握相关概念和实用技能，以便使用 Customer Experience Agent Studio (CX Agent Studio) 设计、构建和测试复杂的多智能体多模态客户体验智能体。

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在本课程中，您将深入了解设计、构建和维护强大的 Gemini Enterprise for Customer Experience (GECX) 解决方案所必需的主题。做好准备，改变您对可能性的理解，并创建可提升客户满意度的架构。本课程旨在向您介绍 GECX 的架构。您将探索构建和实现对话式 AI 解决方案（包括关键架构组件和集成）的主要注意事项。您还将探索与 Gemini Enterprise Agent Platform 的集成，并大致了解 GECX 的主要功能。

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本课程将介绍 Gemini Enterprise for Customer Experience (GECX) 及其强大的生成式 AI 功能，帮助您转变对客户服务的理解。首先，您将了解联络中心的发展历程，了解它们是如何演变的，以及生成式 AI 将如何推动它们进一步发展。然后，您将深入了解 GECX 解决方案中的核心智能模块，了解每个组件如何帮助提供卓越的客户体验。课程最后将探索极具说服力的 GECX 业务案例，以及实际用例和受益于这一创新解决方案的各种用户角色。

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在本课程中，您将学习如何利用 Conversational Insights 从联络中心数据中发掘隐藏的信息，以提高运营效率并推动数据驱动型业务决策。

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Identify critical assets and their compliance requirements.

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Network Engineer certification exam. You'll review Gemini Notebook features, add sources to your notebook, and learn how to personalize your Gemini Notebook experience to study for the exam.

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许多传统企业都在使用无法满足现代客户期望的旧式系统和应用。业务领导者往往需要在维护老旧的 IT 系统和投资新产品与服务之间做出选择。本课程探讨了这些挑战，并提供了利用云技术克服这些挑战的解决方案。 作为 Cloud Digital Leader 学习路线的一部分，本课程旨在帮助个人在工作中成长，并为企业打造美好未来。

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云技术是一项强大的资产，与数据相结合后，它将成为创新和提升客户体验的催化剂。《使用 Google Cloud 探索数据转换》课程探讨了组织如何利用云技术让数据更易于访问、更具实用价值和商业价值。 作为“Cloud Digital Leader 学习路线”的一部分，本课程旨在帮助个人提升职业素养，并为企业谋求未来发展。

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数字化转型是现代组织的必经之路，而扎实掌握云计算基础知识，是推动实质性创新的第一步。《利用 Google Cloud 实现数字化转型》课程将讲解核心技术与战略框架，助力组织实现运营现代化。本课程介绍关于云的基本概念、全球网络基础设施和责任共担模式，帮助领导者从容推进上云进程。 作为 Cloud Digital Leader 学习路线的一部分，本课程旨在帮助学员提升岗位能力，从而为企业打造美好未来。

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完成中级技能徽章课程“优化 Google Kubernetes Engine 的费用”， 展示您在以下方面的技能：创建和管理多租户集群、按命名空间监控资源使用情况、 配置集群和 Pod 自动扩缩以提高效率、设置负载均衡以实现最佳资源分布， 以及实现活跃性与就绪性探测以确保应用正常运行并具有成本效益。

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In this Google DeepMind course, you will complete a capstone project that brings together the technical knowledge, ethical awareness, and creative problem-solving skills that you have developed throughout the Google DeepMind: AI Research Foundations curriculum. You will apply what you have learned to a problem of your choosing. You will first plan your project to ensure that you are clear on your project aims and intended impact. You will then collect and prepare data for your model. Finally, you will implement a full fine-tuning workflow using Gemma 3 with low-rank adaptation (LoRA) and evaluate its performance. You will receive guidance, but the emphasis will be on adaptation and experimentation - skills that are essential for applied AI research.

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Train more powerful models with a single GPU. In this course, you will learn how hardware can speed up model training and the key considerations when training models on a GPU. First, you will learn how to estimate the number of computations and the amount of computer memory required to train large neural networks. You will then discover techniques for reducing the computing and memory requirements when training a model. Techniques which you will apply for fine-tuning a Gemma model with 4 billion parameters. Finally, you will consider the potential environmental impacts of machine learning, with a focus on where questions of energy, water, and e-waste intersect with justice and equity.

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Unleash the power of language models with fine-tuning. In this course, you will learn how to adjust a pre-trained model to a specific task. You will start with full-parameter fine-tuning using a small language model. To tune larger models like Gemma, you will learn parameter-efficient techniques with a focus on LoRA. Finally, you will be briefly introduced to reinforcement learning as an alternative to supervised fine-tuning (SFT). You will also explore how AI is imagined and made sense of in cultural contexts. You will consider why responsible AI is not just about technical safety but also about building governance systems that reflect community values and protect the public interest.

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In this Google DeepMind course you will discover the mechanisms of the transformer architecture. You will investigate how transformer language models process prompts to make context-sensitive next-token predictions. Through practical activities you will explore the attention mechanism, visualize attention weights, and encounter advanced concepts like masked attention and multi-head attention. You will also learn other techniques that are necessary to build neural networks that are well-suited to be used as language models. Finally, through activities on values, stakeholder mapping and community engagement, you will practice concrete tools for ensuring AI projects are developed with communities, not just for them.

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In this Google DeepMind course you will focus on the training process for machine learning models. You will learn how to spot and mitigate issues when training a model, such as overfitting and underfitting. In practical coding labs, you will implement and evaluate the multilayer perceptron for simple classification tasks. This will provide insights into the mechanics of training a neural network model and the backpropagation algorithm. Research case studies will demonstrate how neural networks power real-world models. Additionally, you will consider the broader social impacts of innovation by looking beyond immediate benefits to anticipate potential risks, safety concerns, and further-reaching societal consequences.

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Take these next steps to learn more about the Google Security Operations Platform. Build on fundamental knowledge to go deeper on customization and tuning.

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This course introduces the SOAR component of Google SecOps, guiding learners through setup, response automation, and reporting. With demos, hands-on examples, and quizzes, participants will learn how to simplify investigations and make day-to-day security operations more efficient. The course is designed around short videos, averaging about five minutes each, divided into granular topics to support different learning styles and fit into the time learners have available.

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This course provides a comprehensive, end-to-end exploration of Google SecOps SIEM, guiding learners from foundational concepts to advanced investigation and detection engineering. Participants will gain hands-on experience with data ingestion, normalization, RBAC configuration, searching, and dashboarding using both legacy and native capabilities. Through structured modules, demos, and curated examples, the course emphasizes real-world investigation workflows, UDM-based analytics, and YARA-L rule development. By the end of the course, learners will be equipped to operationalize SIEM effectively within their environment and build scalable processes for detection, investigation, and reporting.

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This course provides a foundational introduction to Google SecOps, focusing on the platform’s architecture, deployment, and configuration. Partners will explore how SecOps integrates SIEM and SOAR components into a unified environment that enhances visibility, scalability, and security efficiency. Through short, hands-on videos and practical demonstrations, the course equips participants with the knowledge to plan and deploy SecOps environments confidently.

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Data is one of the most valuable assets an organization owns, making its safe handling and governance essential. In this voyage, you will master Cloud Storage fundamentals by automating bucket management via APIs and the CLI, while enforcing compliance with Bucket Lock. You will then advance to automated security, configuring Sensitive Data Protection Discovery to scan and catalog risks across BigQuery and Cloud Storage. Complete with two challenge labs, this journey equips you to secure assets across your entire cloud ecosystem.

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Welcome to this month's Arcade Simulator where you will be a Data Mesh Architect. In this simulation, you'll first tackle BigQuery to build date-partitioned tables, solve complex join pitfalls, and master nested data structures. Then, you'll shift to decentralized governance using Dataplex Knowledge Catalog to organize assets, assign metadata, and enforce strict cloud security. Complete with two realistic challenge labs, this simulation equips you to break down data silos, scale your infrastructure, and run a secure, seamless data mesh.

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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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本课程将介绍 AI 智能体的基础知识，并探讨智能体在现实世界中的价值所在。它为想要从自主、目标导向行为的角度理解 AI 系统的开发者、架构师和技术决策者奠定了基础。

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本视频介绍了如何使用 Gemini Gem 构建个性化的“Work with Me”智能体，帮助您简化基础反馈，让会议更具战略性和效率。

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本课程介绍了 Responsible AI 的概念和 AI 原则，还介绍了在 AI/机器学习实践中识别公平性与偏见以及减少偏见的实用技巧，同时探索了使用 Google Cloud 产品和开源工具来实施 Responsible AI 最佳实践的实用方法和工具。

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本课程能让机器学习从业者掌握评估生成式和预测式 AI 模型的基本工具、方法和最佳实践。要确保机器学习系统在实际运用中提供可靠、准确、高效的结果，做好模型评估至关重要。 学员将深入了解各项评估指标、方法及如何在不同模型类型和任务中适当应用这些指标和方法。课程将着重介绍生成式 AI 模型带来的独特挑战，并提供有效解决这些挑战的策略。通过利用 Google Cloud 的 Vertex AI Platform，学员可学习如何在模型选择、优化和持续监控工作中实施卓有成效的评估流程。

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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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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!

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Who says you need a mountain of code to build great software? This adv is your fast lane to rapid app development and automation. First, you'll jump into Google AppSheet to build and launch fully functional apps entirely code-free. Then, you'll master the backend with Cloud Run Functions, deploying event-driven code via the console and command line. Packed with two hands-on challenge labs, this quest is your ticket to building slick apps and scaling them effortlessly on Google Cloud.

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完成用 AppSheet 来构建应用课程，赢取技能徽章。 在此课程中，您将学习如何使用 AppSheet 构建、配置和发布应用。

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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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