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Gautam Vandar

成为会员时间：2026

钻石联赛

15656 积分
用　Database Migration Service　将 MySQL 数据迁移至 Cloud SQL Earned Sep 14, 2026 EDT
Arcade Simulator: DevOps Engineer Earned Sep 8, 2026 EDT
构建安全的 Google Cloud 网络 Earned Sep 7, 2026 EDT
在 BigQuery 中执行预测性数据分析 Earned Sep 4, 2026 EDT
Pitch Perfect Earned Sep 4, 2026 EDT
从 BigQuery 数据中挖掘数据洞见 Earned Sep 3, 2026 EDT
部署多智能体架构 Earned Aug 31, 2026 EDT
使用智能体开发套件 (ADK) 构建 AI 智能体 Earned Aug 31, 2026 EDT
在 Google Cloud 上实现 CI/CD 流水线 Earned Aug 30, 2026 EDT
Arcade Trail: Cloud Delivery Systems Earned Aug 30, 2026 EDT
使用 Apps 脚本和 AppSheet 进行开发 Earned Aug 30, 2026 EDT
用 Google Data Cloud 共享数据 Earned Aug 30, 2026 EDT
Arcade Adventure: Data Vault Earned Aug 30, 2026 EDT
在 Google Cloud 中管理 Kubernetes Earned Aug 29, 2026 EDT
Google Cloud 中的监控功能 Earned Aug 29, 2026 EDT
Arcade Base Camp August 2026 Earned Aug 28, 2026 EDT
使用 Natural Language API 分析情感 Earned Aug 27, 2026 EDT
在 Google 表格中使用函数、公式和图表 Earned Aug 27, 2026 EDT
Arcade Voyage: Google Sheets Earned Aug 27, 2026 EDT
使用 Dataplex 整理和治理数据 Earned Aug 26, 2026 EDT
使用 NCC 连接云网络 Earned Aug 25, 2026 EDT
Arcade Simulator: Network Security Engineer Earned Aug 25, 2026 EDT
使用 API Gateway 部署和保护无服务器 API Earned Aug 25, 2026 EDT
Spans and Plans Earned Aug 25, 2026 EDT
创建和管理 Cloud Spanner 实例 Earned Aug 25, 2026 EDT
IAM　中的特权访问权限 Earned Aug 24, 2026 EDT
在 Google Cloud 上存储、处理和管理数据 - 控制台 Earned Aug 24, 2026 EDT
Arcade Re-Trail: Vaults & Vectors Earned Aug 24, 2026 EDT
实现 Cloud Storage 和数据保护解决方案 Earned Aug 21, 2026 EDT
使用 Gemini 和 Streamlit 开发生成式 AI 应用 Earned Aug 4, 2026 EDT
使用 Gemini Enterprise 编排多智能体工作流 Earned Aug 3, 2026 EDT
AI Infrastructure：AI Hypercomputer 简介 Earned Jun 25, 2026 EDT
在 Google Cloud 中实施 Sensitive Data Protection Earned Jun 16, 2026 EDT
Arcade Trail: Data Engineering and Information Protection Earned Jun 16, 2026 EDT
打造您的首个 Gemini Enterprise 应用 Earned Jun 15, 2026 EDT
在 Google Cloud 上为机器学习 API 准备数据 Earned Jun 14, 2026 EDT
企业智能体及其应用场景 Earned Jun 14, 2026 EDT
智能体基础知识 Earned Jun 14, 2026 EDT
AI 智能体简介 Earned Jun 14, 2026 EDT
在 Looker 中构建 LookML 对象 Earned Jun 13, 2026 EDT
Logic Log Earned Jun 13, 2026 EDT
在 Looker 中管理数据模型 Earned Jun 13, 2026 EDT
Build Global and Regional Load Balancing Solutions Earned Jun 11, 2026 EDT
Arcade Base Camp June 2026 Earned Jun 11, 2026 EDT
为 Compute Engine 实现云负载均衡 Earned Jun 10, 2026 EDT
使用 Google Cloud Observability 进行监控和记录 Earned Jun 6, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability Earned Jun 6, 2026 EDT
使用预训练 API 实现语音和语言解决方案 Earned Jun 6, 2026 EDT
Arcade Voyage: Identity Management and Pre-trained AI APIs Earned Jun 6, 2026 EDT
为 Google Cloud 配置服务账号和 IAM 角色 Earned Jun 6, 2026 EDT
在 Google Cloud 上设置应用开发环境 Earned Jun 4, 2026 EDT
Google Workspace Essentials Earned Jun 4, 2026 EDT
实现云协作和生产力工作流 Earned Jun 4, 2026 EDT
Google Cloud 云计算基础课程：云计算基础知识 Earned Jun 4, 2026 EDT
[DEPRECATED] Google Docs Earned Jun 2, 2026 EDT
在 Google Cloud　上使用 Machine Learning API Earned May 27, 2026 EDT
在 Google Cloud 上部署 Kubernetes 应用 Earned May 27, 2026 EDT
Google Cloud 云计算基础知识 Earned May 27, 2026 EDT
借助 Firebase 开发无服务器应用 Earned May 26, 2026 EDT
在 Google Cloud 上实施云安全基础措施 Earned May 26, 2026 EDT
使用 Knowledge Catalog 构建数据网格 Earned May 26, 2026 EDT
在 Google Cloud 中实施 DevOps 工作流 Earned May 26, 2026 EDT
AI Boost Bites: Automate tasks with Gemini and Apps Script Earned May 19, 2026 EDT
利用 Google Cloud 实现数字化转型 Earned May 18, 2026 EDT
[DEPRECATED] Google Drive Earned May 18, 2026 EDT
Arcade Voyage: Data Governance and Firebase Foundations Earned May 17, 2026 EDT
[DEPRECATED] Google Sheets Earned May 17, 2026 EDT
面向机器学习的 BigQuery Earned May 16, 2026 EDT
[DEPRECATED] Gmail Earned May 16, 2026 EDT
使用 Gemini 分析和推理多模态数据 Earned May 15, 2026 EDT
使用 BigQuery 机器学习推理功能 Earned May 15, 2026 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则 Earned May 15, 2026 EDT
使用 Google Cloud Operations 进行扩缩 Earned May 15, 2026 EDT
Google Cloud 带来信任与安全 Earned May 15, 2026 EDT
Conversational AI on Vertex AI and Dialogflow CX Earned May 13, 2026 EDT
使用 Gemini in BigQuery 提高效率 Earned May 10, 2026 EDT
为 AWS 专业人员构建 Google Cloud 基础设施 Earned May 9, 2026 EDT
Arcade Adventure: Modern App Deployment Earned May 8, 2026 EDT
借助 Google Antigravity 快速起步：使用 AI 构建电子游戏 Earned May 7, 2026 EDT
Introduction to GKE Networking Earned May 7, 2026 EDT
Arcade Base Camp May 2026 Earned May 7, 2026 EDT
面向开发者的 Responsible AI：公平性与偏见 Earned May 6, 2026 EDT
在 BigQuery 中使用 Gemini 模型 Earned May 6, 2026 EDT
Arcade Trail: Cloud Security and DevOps Foundations Earned May 6, 2026 EDT
开发 Google Cloud 网络 Earned May 6, 2026 EDT
Work Meets Play: Expressive Efficiency Earned May 6, 2026 EDT
设置 Google Cloud 网络 Earned May 5, 2026 EDT
Skill Up Summer Earned May 5, 2026 EDT
在 Google Cloud 上构建网站 Earned May 4, 2026 EDT
在 Google App Engine 上部署和管理应用 Earned May 4, 2026 EDT
Google Workspace 问题排查 Earned May 4, 2026 EDT
使用 Google Cloud 探索数据转换 Earned May 3, 2026 EDT
在关联工作表中分析 BigQuery 数据 Earned May 3, 2026 EDT
结合企业数据库构建 AI 智能体 Earned Apr 30, 2026 EDT
Agent Assist 及其生成式 AI 功能 Earned Apr 29, 2026 EDT
利用 Vertex AI 实现机器学习运维 (MLOps)：模型评估 Earned Apr 29, 2026 EDT
适用于生成式 AI 的机器学习运维 (MLOps) Earned Apr 29, 2026 EDT
Arcade Adventure: GKE Operations and Networking Earned Apr 28, 2026 EDT
Dialogue Design Earned Apr 27, 2026 EDT
Arcade Voyage: Modern Application Development Earned Apr 26, 2026 EDT
Arcade Trail: Data Migration Earned Apr 26, 2026 EDT
Arcade Base Camp April 2026 Earned Apr 25, 2026 EDT
Works Meet Play: Skills Spawn Earned Apr 17, 2026 EDT

完成用　Database Migration Service　将 MySQL 数据迁移至 Cloud SQL 这一入门级的技能徽章课程，展示您在以下方面的技能： 使用 Database Migration Service 中提供的不同作业类型和连接选项，将 MySQL 数据迁移到 Cloud SQL； 以及在运行 Database Migration Service 作业时 迁移 MySQL 用户数据。

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Welcome to this month's Arcade Simulator, where you'll step into the shoes of a DevOps Engineer tasked with keeping production environments fast, scalable, and resilient. You'll lay down a secure foundation with multi-VPC networks and access controls, then deploy multi-tier load balancers to distribute compute traffic seamlessly. Clear both challenge labs to prove you can automate, secure, and scale enterprise infrastructure without missing a beat.

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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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完成中级技能徽章课程“在 BigQuery 中执行预测性数据分析”， 展示以下方面的技能：导入 CSV 和 JSON 文件，在 BigQuery 中创建数据集； 利用 BigQuery 的强大功能与精细的 SQL 分析概念，包括使用 BigQuery ML，根据足球比赛数据 来训练一个进球数预测模型，并评估世界杯进球的观赏性。

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Great teams don't just wing it—they execute a game plan. In this track, you'll captain your backend from the tactical board to the final whistle. Tune Spanner schemas for high-pressure traffic, whip pinpoint Pub/Sub messages across your services , and score clean API deployments with Cloud Run. Beat the challenge labs to claim your badge!

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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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完成部署多智能体架构这一高级技能徽章课程，展示您在以下方面的技能： 使用 ADK 构建多智能体系统；通过 Agent-to-Agent (A2A) protocol 连接智能体， 通过 Model Context Protocol (MCP) 集成外部工具，并将完整的多智能体解决方案部署到 Agent Engine。

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完成本课程，赢取使用智能体开发套件 (ADK) 构建 AI 智能体中级技能徽章，展示您在以下方面的技能： 提出实际的语言模型研究问题；构建一个简单的词元化器；制作用于训练 Transformer 语言模型的数据集；运行小语言模型的训练循环。

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完成在 Google Cloud 上实现 CI/CD 流水线技能徽章课程，赢取中级技能徽章。 您将学习如何使用 Artifact Registry、Cloud Build 和 Cloud Deploy。您将与 Google Cloud 控制台、Google Cloud CLI、Cloud Run 和 GKE 互动。本课程将介绍如何构建持续集成 流水线，存储和保护工件，扫描漏洞，证明已批准版本 的有效性。此外，您还将获得在 GKE 和 Cloud Run 中 部署应用的实操经验。

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Accelerating software delivery while maintaining stability demands automated build, artifact, and release pipelines. This trail covers the core practices for implementing continuous integration and continuous delivery (CI/CD) on Google Cloud. You will begin by managing container images with Artifact Registry and building automated pipelines for Google Kubernetes Engine using Cloud Build. Next, you will configure continuous delivery workflows with Google Cloud Deploy to safely promote releases across environments. Concluding with a practical challenge lab, this trail prepares you to establish resilient, production-ready deployment pipelines.

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完成使用 Apps 脚本和 AppSheet 进行开发技能徽章课程，赢取技能徽章。 在此课程中，您将学习如何构建聊天机器人，以及如何 在任何文档中使用脚本编辑器。

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完成用 Google Data Cloud 共享数据技能徽章课程，赢取技能 徽章。您将获得使用 Google Cloud 数据共享合作伙伴 的实操经验，这些合作伙伴拥有专有数据集， 客户可将其用于自己的分析应用场景。客户订阅这些数据集，可在自己的 平台上查询，然后使用自己的数据集加以扩充，并使用自己的可视化 工具，用于面向客户的信息中心。

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Who says sharing complex data across boundaries has to be a compliance nightmare? This adventure is your blueprint for delivering modern Analytics-as-a-Service on Google Data Cloud. You'll start by building secure, authorized views on BigQuery to safely expose data to partners without exposing underlying tables. Next, you'll learn to consume customer-specific datasets and streamline cross-organization data delivery. Packed with a hands-on challenge lab, this adventure gives you the practical skills to publish, share, and scale data seamlessly while keeping security tight.

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完成在 Google Cloud 中管理 Kubernetes这一中级技能徽章课程， 展示您在以下方面的技能：使用 kubectl 管理部署、监控并 调试在 Google Kubernetes Engine (GKE) 上运行的应用，以及持续交付技术。

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完成 Google Cloud 中的监控功能这一入门级技能徽章课程， 以证明您具备以下技能：使用 Cloud Monitoring 工具监控 Google Cloud 上的资源。

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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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完成使用 Natural Language API 分析情感挑战任务，赢取技能徽章 。在此过程中，您将学习如何使用 API 从文本中提取情感。

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完成中级技能徽章课程“在 Google 表格中使用函数、公式和图表”， 展现您在以下方面的技能：使用函数分析数据；使用图表直观呈现数据；以及搜索和验证数据、 设置数据格式、显示数据。

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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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完成入门级技能徽章课程“使用 Dataplex 整理和治理数据”，展示您在以下方面的技能：创建 Dataplex 资产、创建切面类型，以及将切面应用于 Dataplex 中的条目。 技能徽章通过动手实验和挑战赛形式的评估，检验您对特定产品的实际知识掌握情况。完成课程即可获得徽章， 也可直接参加实验室挑战赛，快速获得徽章。徽章可证明您掌握技能的熟练程度，提升您的专业形象，最终助您获得更多职业机会。欢迎访问您的个人资料，并跟踪您已获得的徽章。

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完成使用 NCC 连接云网络课程，即可获得中级技能徽章，您将在此课程中学习如何 使用 Network Connectivity Center 连接您的本地网络、云企业网络和混合网络， 并通过 Google Cloud 上的一个集中式枢纽，以 spoke 的方式来管理它们。

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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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完成 使用 API Gateway 部署和保护无服务器 API技能徽章课程，赢取技能徽章。 您将学习如何通过全托管式网关，使用 API Gateway 来部署、 保护和管理 API。

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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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完成创建和管理 Cloud Spanner 实例 这一入门级技能徽章课程，展示您在以下方面的技能： 创建 Cloud Spanner 实例和数据库并与之互动； 使用各种方法加载 Cloud Spanner 数据库； 备份 Cloud Spanner 数据库；定义架构并了解查询计划； 部署连接到 Cloud Spanner 实例的现代 Web 应用。

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完成 IAM　中的特权访问权限技能徽章中级课程， 展现您在以下方面的技能：使用 Identity and Access Management (IAM) 自定义角色、 最小权限原则、即时 (JIT) 临时提升访问权限、 以及使用 Identity-Aware Proxy (IAP) 保障 Web 应用的安全。'

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Cloud Storage, Cloud Functions 和 Cloud Pub/Sub 都是 Google Cloud Platform 服务，可用于存储、处理和管理数据。这三项 服务可结合使用，创建各种数据驱动型应用。在 此技能徽章课程中，您将使用 Cloud Storage 存储图片，使用 Cloud Functions 函数 处理图片，并使用 Cloud Pub/Sub 将图片发送到另一个应用。

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Since last month's Arcade Trail wrapped up earlier than expected, we’re opening up this bonus game only for this month so you can grab that missed Arcade Point! You'll start on the vault side with Google Cloud Storage—managing buckets, exploring APIs, and locking down sensitive data with Bucket Lock. Then, you'll shift to event-driven vectors at the command line, triggering Cloud Run Functions and routing real-time messages through Pub/Sub. Complete with two hands-on challenge labs, this trail gets your streak back on track while building real-world storage and serverless skills.

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完成 实现 Cloud Storage 和数据保护解决方案这一技能徽章课程，赢取技能 徽章。学习如何创建 Cloud Storage 存储桶，如何 使用 Cloud Storage 命令行，以及如何使用存储桶锁定来保护 存储桶中的对象。

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完成中级技能徽章课程“使用 Gemini 和 Streamlit 开发生成式 AI 应用”，展示您在以下方面的技能： 文本生成、通过 Python SDK 和 Gemini API 应用函数调用，以及通过 Cloud Run 部署 Streamlit 应用。 您将了解如何以不同方式通过提示来让 Gemini 生成文本、使用 Cloud Shell 进行测试，以及如何迭代 Streamlit 应用，随后将其封装成 Docker 容器并部署在 Cloud Run 中。

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完成入门级使用 Gemini Enterprise 编排多智能体工作流技能徽章课程，展示您在以下方面的技能：使用由 Gemini Enterprise 提供支持的智能体助理整合来自第一方和第三方来源的数据、制作多媒体营销材料，以及跨系统自动执行业务操作。 技能徽章通过动手实验和挑战赛形式的评估，检验您对特定产品的实际知识掌握情况。完成课程即可获得徽章，也可直接参加实验室挑战赛，快速获得徽章。徽章可证明您掌握技能的熟练程度，提升您的专业形象，最终助您获得更多职业机会。欢迎访问您的个人资料，跟踪您已获得的徽章。

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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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完成 在 Google Cloud 中实施 Sensitive Data Protection 这一入门级技能徽章课程，展示您在以下方面的技能：使用 Sensitive Data Protection 服务 （包括 Cloud Data Loss Prevention API）来检查和隐去 Google Cloud 中的敏感数据，并对敏感数据进行去标识处理。

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Raw data is only useful if it is clean, structured, and secure. In this track, you’ll start by processing and preparing data using Dataprep, Dataflow templates, and Apache Spark. You'll learn how to clean up datasets so they are ready for machine learning models. From there, you'll focus on security by working with tools that find and mask sensitive information like personal IDs and credentials. You'll practice redacting critical details and creating safe, de-identified copies of your data in Cloud Storage. By finishing the hands-on challenge labs, you’ll show you can handle big data workflows while keeping confidential information completely safe.

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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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完成入门级技能徽章课程在 Google Cloud 上为机器学习 API 准备数据，展示以下技能： 使用 Dataprep by Trifacta 清理数据、在 Dataflow 中运行数据流水线、在 Managed Service for Apache Spark 中创建集群和运行 Apache Spark 作业，以及调用机器学习 API，包括 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。

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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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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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完成在 Looker 中构建 LookML 对象入门技能徽章课程，展示以下方面的技能： 构建新的维度、测量、视图和派生表；根据需求设置测量的过滤条件和 类型；更新维度和测量； 构建并优化探索；将视图联接到现有探索；并根据业务需求 决定要创建哪些 LookML 对象。

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Building a reliable platform for data analysis requires structured data modeling and clean, maintainable code. In this challenge, you’ll start with the building blocks of LookML, creating custom dimensions, measures, and derived tables to shape your data exactly how you need it. From there, you'll work on making your platform faster and easier to use by setting up caching, defining datagroups, and modularizing your code using extends. By following these development best practices, you'll walk away knowing how to build efficient, scalable data models that your team can easily rely on.

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完成中级技能徽章课程在 Looker 中管理数据 模型，展示以下方面的技能：维护 LookML 项目的健康状况；利用 SQL Runner 进行数据验证；采用 LookML 最佳实践；优化查询和 报告；以及实现永久性派生表和缓存政策。

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Complete the intermediate Build Global and Regional Load Balancing Solutions skill badge course to demonstrate skills in the following: deploy and utilize an internal client VM within the same VPC network and test traffic distribution, backend infrastructure suitable for a global external application Load Balancer, and backend VM instances and load balancer components using startup scripts and network tags to host a web application service.

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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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完成入门级技能徽章课程为 Compute Engine 实现云负载均衡，展示以下方面的技能： 在 Compute Engine 中创建和部署虚拟机 以及配置网络和应用负载均衡器。

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完成入门级使用 Google Cloud Observability 进行监控和记录技能徽章课程， 展示自己在以下方面的技能：监控 Compute Engine 中的虚拟机； 利用 Cloud Monitoring 监控多个项目；将监控和日志记录功能扩展到 Cloud Functions； 创建和发送自定义应用指标；以及根据自定义指标配置 Cloud Monitoring 提醒。

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Writing code is just the first step; you also need to know how to deploy it smoothly and keep it running at its best. In this adventure, you’ll get started with serverless setups by running code on Cloud Run Functions and connecting your services using Google Cloud Pub/Sub. From there, you'll work on the operations side—building out clean development environments, keeping tabs on multiple projects at once, and setting up smart alerts so you can spot and fix issues early. With a couple of challenge labs thrown into the mix, you’ll walk away with the skills needed to build, monitor, and scale apps on Google Cloud.

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完成使用预训练 API 实现语音和语言解决方案课程以获得技能徽章，了解如何使用与语音相关的 API 工具来合成和转录语音。

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Keeping your cloud resources secure and making your apps smarter are two essential skills for any cloud developer. In this voyage, you’ll start with the security fundamentals, learning how to configure service accounts, manage IAM permissions using gcloud, and set up custom roles. Once you've secured your environment, you'll work with Google Cloud's pre-trained AI tools—converting text to synthetic speech, translating languages on the fly, and transcribing audio files into text. Complete with two practical challenge labs to test your skills, you'll walk away knowing how to safely manage access to your cloud project while adding powerful language and speech features to your applications.

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完成“为 Google Cloud 配置服务账号和 IAM 角色”课程，赢取入门级技能徽章。在本课程中，您将了解服务账号、自定义角色以及如何使用 gcloud 设置权限。

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完成“在 Google Cloud 上设置应用开发环境”课程，赢取技能徽章；通过该课程，您将了解如何使用以下技术的基本功能来构建和连接以存储为中心的云基础设施： Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。

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Workspace is Google's collaborative applications platform, delivered from Google Cloud. In this introductory-level course you will get hands-on practice with Workspace’s core applications from a user perspective. Although there are many more applications and tool components to Workspace than are covered here, you will get experience with the primary apps: Gmail, Calendar, Sheets and a handful of others. Each lab can be completed in 10-15 minutes, but extra time is provided to allow self-directed free exploration of the applications.

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完成 实现云协作和生产力工作流课程，赢取入门技能徽章。在此课程中，您将了解 Google 的协作平台 并学习如何使用 Gmail、Google 日历、Meet、Google 云端硬盘、Google 表格和 AppSheet。

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Google Cloud 云计算基础课程面向云计算零基础或经验较少的人群。本课程概述了云计算基础知识、大数据和机器学习的核心概念，以及 Google Cloud 在其中的定位与应用方式。 完成本系列课程后，学员将能够清晰阐述这些概念，并掌握部分实操技能。 课程应按以下顺序完成： 1. Google Cloud 云计算基础课程：云计算基础知识 2. Google Cloud 云计算基础课程：Google Cloud 中的基础设施 3. Google Cloud 云计算基础课程：Google Cloud 中的网络服务和安全性 4. Google Cloud 云计算基础课程：Google Cloud 中的数据、机器学习和 AI 本课是第一门课程，概述了云计算、Google Cloud 的使用方式以及各种计算选项。

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With Google Docs, your documents are stored in the cloud, and you can access them from any computer or device. You create and edit documents right in your web browser; no special software is required. Even better, multiple people can work at the same time, you can see people’s changes as they make them, and every change is saved automatically. In this course, you will learn how to open Google Docs, create and format a new document, and apply a template to a new document. You will learn how to enhance your documents using a table of contents, headers and footers, tables, drawings, images, and more. You will learn how to share your documents with others. We will discuss your sharing options and examine collaborator roles and permissions. You will learn how to manage versions of your documents. Google Docs allows you to work in real time with others on the same document. You will learn how to create and manage comments and action items in your documents. We will review a few of the G…

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完成在 Google Cloud　上使用 Machine Learning API 课程，赢取高级技能徽章。 在本课程中，您将了解以下机器学习和 AI 技术的基本功能： Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。

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完成在 Google Cloud 上部署 Kubernetes 应用技能徽章中级课程，展示您在以下方面的技能： 配置和构建 Docker 容器映像，创建和管理 Google Kubernetes Engine (GKE) 集群，利用 kubectl 实现高效 集群管理，以及按照稳健的持续交付 (CD) 实践部署 Kubernetes 应用。

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完成Google Cloud 云计算基础知识挑战任务，赢取技能徽章。 您将学习如何在　Compute Engine　中使用虚拟机 (VM)、永久性 磁盘和 Web 服务器。

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完成借助 Firebase 开发无服务器应用技能徽章中级课程， 展示您在以下方面的技能：借助 Firebase 设计无服务器 Web 应用架构以及构建无服务器 Web 应用； 利用 Firestore 管理数据库；利用 Cloud Build 自动完成部署流程； 以及将 Google 助理功能集成到您的应用中。

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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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完成入门技能徽章课程使用 Knowledge Catalog 构建数据网格，展示以下方面的技能：使用 Knowledge Catalog 构建数据网格， 以在 Google Cloud 上实现数据安全、治理和发现。您将在 Knowledge Catalog 中练习和测试自己在标记资产、分配 IAM 角色和评估数据质量方面的技能。

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完成在 Google Cloud 中实施 DevOps 工作流技能徽章中级课程， 展示您在以下方面的技能：创建和管理 git 代码库； 在 Google Kubernetes Engine (GKE) 上启动、管理和扩缩 Deployment； 设计 CI/CD 流水线架构，以自动构建容器映像并将其部署到 GKE。

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This video covers how to use Gemini and Apps Script to automate manual tasks across Google Workspace. You'll learn to prompt Gemini to generate Apps Script code that automatically drafts email reminders in Google Sheets for tasks not marked 'Complete.' Automate your workflow with little to no technical expertise, freeing up time for more important work and eliminating manual follow-ups.

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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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Google Drive is Google’s cloud-based file storage service. Google Drive lets you keep all your work in one place, view different file formats without the need for additional software, and access your files from any device. In this course, you will learn how to navigate your Google Drive. You will learn how to upload files and folders and how to work across file types. You will also learn how you can easily view, arrange, organize, modify, and remove files in Google Drive. Google Drive includes shared drives. You can use shared drives to store, search, and access files with a team. You will learn how to create a new shared drive, add and manage members, and manage the shared drive content. Google Workspace is synonymous with collaboration and sharing. You will explore the sharing options available to you in Google Drive, and you will learn about the various collaborator roles and permissions that can be assigned. You’ll also explore ways to ensure consistency and save time…

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Working with data and applications requires the right balance of governance and agility. In this voyage, you’ll use Dataplex to organize, secure, and assess data quality while exploring concepts like data mesh. Alongside, you’ll get hands-on with Firebase—building serverless apps, working with Firestore, and managing data in real time—bringing together modern data management and application development.

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In this course we will introduce you to Google Sheets, Google’s cloud-based spreadsheet software, included with Google Workspace. With Google Sheets, you can create and edit spreadsheets directly in your web browser—no special software is required. Multiple people can work simultaneously, you can see people’s changes as they make them, and every change is saved automatically. You will learn how to open Google Sheets, create a blank spreadsheet, and create a spreadsheet from a template. You will add, import, sort, filter and format your data using Google Sheets and learn how to work across different file types. Formulas and functions allow you to make quick calculations and better use your data. We will look at creating a basic formula, using functions, and referencing data. You will also learn how to add a chart to your spreadsheet. Google Sheets spreadsheets are easy to share. We will look at the different ways you can share with others. We will also discuss how to track changes…

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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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Gmail is Google’s cloud based email service that allows you to access your messages from any computer or device with just a web browser. In this course, you’ll learn how to compose, send and reply to messages. You will also explore some of the common actions that can be applied to a Gmail message, and learn how to organize your mail using Gmail labels. You will explore some common Gmail settings and features. For example, you will learn how to manage your own personal contacts and groups, customize your Gmail Inbox to suit your way of working, and create your own email signatures and templates. Google is famous for search. Gmail also includes powerful search and filtering. You will explore Gmail’s advanced search and learn how to filter messages automatically.

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完成中级技能徽章课程使用 Gemini 分析和推理多模态数据，展示自己在以下方面的技能：使用 Gemini 2.0 Flash 分析文本、图片、音频（以乐谱形式表示）和视频数据，对这些综合信息进行推理，以便得出结论并提取分析洞见。

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了解 BigQuery 机器学习推理功能，以及数据分析师为何应使用该功能，它有哪些应用场景，有哪些受支持的机器学习模型。您还将了解如何在 BigQuery 中创建和管理这些机器学习模型。

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随着企业对人工智能和机器学习的应用越来越广泛，以负责任的方式构建这些技术也变得更加重要。但对很多企业而言，真正践行 Responsible AI 并非易事。如果您有意了解如何在组织内践行 Responsible AI，本课程正适合您。 本课程将介绍 Google Cloud 目前如何践行 Responsible AI，以及从中总结的最佳实践和经验教训，便于您以此为框架构建自己的 Responsible AI 方法。

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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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In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.

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此课程将探索如何使用 AI 功能套件 Gemini in BigQuery 为“数据到 AI”工作流提供助力。其中涉及到的功能包括数据探索和准备、代码生成和问题排查，以及工作流发现和可视化。此课程包含概念解释、真实使用场景以及实操实验等内容，可帮助数据从业者提升效率并加快流水线开发速度。

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完成为 AWS 专业人员构建 Google Cloud 基础设施课程， 赢取技能徽章。在此课程中，您将学习如何配置 IAM 权限， 使用 Kubernetes 编排工作负载，使用 Compute Engine 托管 Web 应用， 以及配置负载均衡。

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Building and running applications on Google Cloud can take many forms—and this adventure brings them together. Get hands-on with App Engine, Cloud Run, Kubernetes Engine, and Compute Engine as you deploy applications, manage scaling, and explore modern architectures, including the shift from monolithic to microservices.

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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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In this course, the first in the Configure Google Kubernetes Engine Networking series, you'll learn how to use the Google Cloud Architecture Center to get started designing a VPC networking solution to support a GKE infrastructure.

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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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本课程展示了如何在 BigQuery 中使用 AI/机器学习模型处理生成式 AI 任务。通过一个涉及客户关系管理的实际应用场景，您将学习到使用 Gemini 模型解决业务问题的工作流程。为了便于理解，本课程还将通过使用 SQL 查询和 Python 笔记本的编码解决方案提供分步指导。

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Securing applications and streamlining delivery go hand in hand in modern cloud environments. In this trail, you’ll work with tools like Cloud KMS, Identity-Aware Proxy, and service accounts to manage access and protect resources. You’ll also explore private Kubernetes clusters, artifact management, and build CI/CD pipelines with Cloud Build—bringing together the essentials of cloud security and DevOps in practice.

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完成开发 Google Cloud 网络课程，赢取技能徽章。在此课程中，您将学习 部署和监控应用的多种方法，包括执行以下任务的方法：探索 IAM 角色并添加/移除 项目访问权限、创建 VPC 网络、部署和监控 Compute Engine 虚拟机、 编写 SQL 查询、在 Compute Engine 中部署和监控虚拟机，以及使用 Kubernetes 通过多种部署方法部署应用。

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As platforms grow, maintaining speed, reliability, and seamless user experiences becomes critical. Inspired by Bobble AI and its journey to support millions of real-time interactions, this challenge explores how cloud-native systems are designed for efficiency at scale. You’ll work with Docker and Kubernetes to run and orchestrate applications, while also using IAM, Cloud Storage, and Monitoring to manage access, data, and performance. The result: a clearer view of how the right mix of containers, automation, and observability keeps modern applications fast, resilient, and efficient.

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完成设置 Google Cloud 网络课程，赢取技能徽章， 您将了解如何在 Google Cloud Platform 上执行基本的网络组建和管理任务 - 创建自定义网络、添加子网防火墙规则，然后创建虚拟机并测试 虚拟机之间相互通信时的延迟时间。

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A season to build, experiment, and grow—one skill at a time. You’ll start with the fundamentals of networking, creating the foundation that connects everything together. From there, you’ll step into automation and application development using Cloud Scheduler, App Engine, and machine learning APIs. By the end, you’ll have a more confident, hands-on understanding of how modern applications are built, connected, and run on the cloud.

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完成在 Google Cloud 上构建网站技能徽章课程，赢取入门级技能徽章。本课程以 Get Cooking in Cloud 系列视频为基础， 涵盖以下主题：在 Cloud Run 上部署网站在 Compute Engine 上托管 Web 应用在 Google Kubernetes Engine 上创建、部署和扩缩网站使用 Cloud Build 从单体式应用迁移到微服务架构

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完成在 Google App Engine 上部署和管理应用课程，赢取技能徽章。在此课程中，您将学习如何将 App Engine 与 Python、Go 和 PHP 搭配使用。

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本课程旨在帮助 Google Workspace 管理员排查常见的 Google Workspace 问题。学员将练习诊断并解决 Gmail、日历和云端硬盘中的问题，并了解管理控制台的使用方法。学员还将体验如何分析审核日志以排查安全问题，以及收集信息并使用可用资源来排查并报告技术问题。

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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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完成在关联工作表中分析 BigQuery 数据这一技能徽章课程，展示您能够使用关联工作表，在 Google 表格的电子表格中访问、分析、可视化并共享数十亿行 BigQuery 数据。

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使用 MCP Toolbox for Databases 构建可利用企业数据库的 AI 智能体。您将定义安全的数据库交互工具，并实现智能查询功能（利用向量嵌入、结构化查询）。

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您可以利用強大的生成式 AI 打造智慧型自動化代理。完成本課程後，您將瞭解如何開發資料儲存庫代理，自動從網站、文件或結構化資料中擷取並彙整資訊，即時回答複雜問題。這種新型代理能提供靈活、準確的答案，還會附上原始來源網址，而且設定相當便捷，讓您從此告別靜態常見問題集。

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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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Google Kubernetes Engine (GKE) is all about running and managing containerized applications without worrying too much about the underlying setup. In this adventure, you’ll get hands-on with how things actually work—managing workloads, debugging issues, and trying out autoscaling. You’ll also explore Autopilot, run load tests, and work with private clusters and network access. By the end, you’ll have a clearer sense of how GKE setups are put together and handled in practice.

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78%—or nearly 8 in 10—business leaders say Google Cloud helps them stay ahead in the age of AI. A big part of that comes down to how teams build and connect intelligent systems. Here, you’ll build and manage conversational agents, and use speech-to-text and translation APIs to handle different types of input. You’ll also move from monolithic apps to microservices on GKE, connect workflows using webhooks, and use observability tools to keep track of what’s happening. IAM comes in as well to manage access where needed. It’s a practical look at how these pieces are used together in real setups.

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On Google Cloud, building an app usually means handling more than just the code. You’ll need to deploy it, connect services, and keep things running properly. In this voyage, you’ll host a web app, set up a deployment pipeline, and build a REST API with Cloud Run. You’ll also try out Flutter and set up a Python development environment. You’ll work with VPC networks, load balancing, and clean up unused resources along the way. It’s a practical set of tasks that reflects how apps are actually run on Google Cloud.

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A lot of cloud work comes down to moving data, managing access, and making sense of what’s happening behind the scenes. In this trail, you’ll migrate a MySQL database to Google Cloud, work with IAM permissions using gcloud, and analyze network traffic with VPC Flow Logs. You’ll also store and manage media files, prepare data with Dataprep, and build reports using Looker Studio and LookML. There’s even a lab on measuring Speech-to-Text accuracy. It’s a mix of tasks that shows how data is handled, monitored, and used across different parts of Google Cloud.

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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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Online games can get unpredictable. One update drops, a new event goes live—and suddenly, thousands of players are logging in at the same time. That’s where the backend really gets tested. Companies like Com2uS rely on cloud infrastructure to handle exactly this kind of pressure without things falling apart. Here, you’ll work through the same building blocks—setting up networks, handling secure connections, and deploying apps with Docker and Kubernetes. You’ll add authentication, keep an eye on things with logging, and move data when needed. It’s the kind of work that keeps everything running smoothly while players just focus on the game.

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