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Ignacio Alfredo Mateluna Mendez

成为会员时间:2025

黄金联赛

9270 积分
Add Agents to Gemini Earned Oct 16, 2026 EDT
Govern Agent Access with Gemini platform Earned Oct 15, 2026 EDT
Secure your Agents with Gemini platform Earned Oct 15, 2026 EDT
Govern agents with Agent Gateway, Agent Registry, and Policies Earned Oct 14, 2026 EDT
Deploy Gemini with Workspace Data Sources and Model Armor Earned Oct 14, 2026 EDT
Model Armor:保障 AI 部署安全 Earned Oct 9, 2026 EDT
Improve Agent Search findings on Gemini platform Earned Oct 6, 2026 EDT
Use a Third-Party Identity Provider with Workforce Identity Federation Earned Oct 4, 2026 EDT
Deploy Gemini to Transform Enterprises Earned Oct 3, 2026 EDT
Plan Change Management for Gemini Deployments Earned Oct 3, 2026 EDT
[DEPRECATED] 借助 Gemini Enterprise 加速知识交流 Earned Jul 30, 2026 EDT
Gemini Enterprise 简介 Earned Jun 29, 2026 EDT
在 Google 表格中使用函数、公式和图表 Earned Jun 28, 2026 EDT
AppSheet Team Hierarchy Earned Mar 5, 2026 EST
Protect your data with Google Workspace Security Earned Mar 5, 2026 EST
Google Workspace 问题排查 Earned Dec 1, 2025 EST
Google Workspace 安全性 Earned Nov 29, 2025 EST
Google Workspace 数据治理 Earned Nov 14, 2025 EST
Google Workspace 核心服务 Earned Oct 16, 2025 EDT
Google Workspace 用户和资源管理 Earned Sep 10, 2025 EDT
内置 Gemini 的 Google Workspace:AI 工作流基础知识 Earned Sep 4, 2025 EDT
Google Workspace 基本功能版 Earned Sep 3, 2025 EDT

In this challenge lab, you will demonstrate your ability to add agents to Gemini. You will build an agent with Agent Designer, and you will build a no-code agent with Agent Development Kit, deploy it to Agent Engine, and add it to Gemini.

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In this challenge lab, you will act as a cloud engineer supporting the Cymbal Pools finance team. Your mission is to deploy a BigQuery-enabled agent to Agent Runtime to help process invoice data using natural language. Rather than building from scratch, you inherit an unsecured deployment. You must establish basic data governance by configuring the Agent Development Kit (ADK), deploying the agent with a dedicated SPIFFE identity, identifying permission blocks, and applying least-privilege IAM roles so the agent can safely query and update the BigQuery database from the Agent Runtime Playground.

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As organizations rapidly deploy AI workforces, securing these autonomous systems becomes paramount. Secure Your Agents with Gemini platform is a practical, security-first course designed to help you establish centralized, zero-trust control and comprehensive visibility over your AI ecosystem. Instead of relying on theoretical frameworks, this course teaches you how to defend AI agents the way they are actually attacked—layer by layer, with identity and access at the absolute foundation.

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This course covers the technical side of governing an AI agent workforce using Agent Gateway, Agent Registry, and Policies. It discusses the overall architecture of centralized agent governance, focusing on managing agent sprawl and securing communication with internal systems. The course explores the infrastructure and enterprise networking required to deploy the Agent Gateway, including automated deployment with Terraform and configuring private egress via Private Service Connect. It offers guidance towards establishing a zero-trust security perimeter using unique agent identities with mTLS, per-tool authorization with REQUEST_AUTHZ, and granular CEL policies. Furthermore, it empowers administrators to implement content security guardrails using Model Armor in Gemini platform and Cloud DLP to mitigate semantic threats like prompt injection and data leakage. Finally, the course explains how to manage tool discovery through the Agent Registry and ensure end-to-end observability and thr…

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In this challenge lab, you act as a Security Engineer deploying a secure Gemini environment for Cymbal Bank. You will ground Gemini in web search and internal Workspace sources to ensure accurate, contextual responses. To maintain compliance, you will configure Model Armor policies to filter sensitive data and block threats like prompt injections and malicious URLs. Finally, you will manage specific end-user features to customize the AI experience safely

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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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This course covers techniques for boosting and filtering search results, as well as the implementation of meta tags for advanced search control.

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This course provides learners the knowledge to configure Workforce Identity Federation to grant Google Cloud and Gemini access to users that authenticate using a third-party Identity Provider. The curriculum includes theory and demo videos covering workforce identity pools, OIDC and SAML providers, attribute mapping, IAM policies, and troubleshooting guidance.

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This course covers the technical side of deploying Gemini. It discusses the overall architecture of Gemini, decisions to be made when provisioning the app infrastructure, and integrating enterprise data via Data Stores, Connectors. and Actions. The course also explores the kinds of agents that can be added to Gemini. It offers guidance towards establishing a security perimeter using IAM, VPC Service Control, Context-Aware Access, and semantic controls deployed with Model Armor in Gemini platform. Finally, it empowers administrators to fine-tune the end-user experience through comprehensive configuration options, and explains how administrators keep AI deployments secure, compliant, and performant through OpenTelemetry instrumentation and prompt logging.

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This course will guide you through designing customer engagements that result in successful, well-utilized Gemini deployments. Study the art of change management, how to identify and engage sponsors, recruit early adopters, help your customer identify and address cultural change challenges and skills gaps, and effectively deliver project communications. Additionally, learn how to support your customer to plan, offer, conduct, and evaluate end-user training, leverage partner resources, and create essential project documents.

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Gemini Enterprise 结合了 Google 在搜索和 AI 领域的专长。它是一款强大的工具,让员工只需通过一个搜索栏,就能从文档库、邮件、聊天消息、工单系统及其他数据源中查找具体信息。Gemini Enterprise 助理还能帮助进行头脑风暴、开展研究、生成文档大纲并执行其他操作,比如邀请同事参加某个日历活动。因此它能加快知识型工作的进度并提升协作效率。(请注意,Gemini Enterprise 以前称为 Google Agentspace,本课程中可能会提及以前的产品名称。)

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本课程将介绍 Gemini Enterprise,它是一个集 AI 智能体、企业搜索、Gemini Notebook 和智能数据访问功能于一身的强大平台,旨在帮助组织应对各种挑战。学员通过学习真实案例并动手实操,将能够把 Gemini Enterprise 的各项功能与实际的业务需求联系起来,说明 Gemini Enterprise 的架构以及它如何处理不同角色的数据访问和隐私安全问题。

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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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A short course on defining and managing teams and organizations in Google AppSheet.

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This course empowers learners to protect their Google Workspace environment and maintain regulatory compliance. It covers essential topics like preventing unauthorized access, safeguarding sensitive data, and enhancing visibility and control. Participants will gain practical skills in threat detection, data protection, and compliance enforcement, ensuring the security and integrity of their Google Workspace environment.

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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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本课程旨在帮助学员保护自身 Google Workspace 环境的安全。学员将实施安全系数高的密码政策和两步验证,以管理用户访问权限。然后,他们将利用安全调查工具主动识别和应对安全风险。接下来,他们将管理第三方应用访问权限和移动设备,以确保安全性。最后,学员将强制执行邮件安全和合规措施,以保护组织数据。

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本课程旨在帮助学员掌握在 Google Workspace 环境中管理数据的技能。学员将探索如何在 Gmail 和云端硬盘中利用数据泄露防护规则来防止数据泄露。然后学习如何使用 Google 保险柜来保留、保存和检索数据。接着,学员将学习如何配置数据区域和导出设置,以遵循监管法规。最后,学员将了解如何使用标签对数据进行分类,以强化组织管理并提升安全性。

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本课程旨在让学员全面了解 Google Workspace 核心服务。学员将探索如何启用、停用这些服务(包括 Gmail、Google 日历、云端硬盘、Meet、Chat 和文档)以及为这些服务配置设置。随后,他们将学习如何部署和管理 Gemini,以赋能用户。最后,学员将了解 AppSheet 和 Apps 脚本的应用场景,学习如何使用它们自动执行任务并扩展 Google Workspace 应用的功能。

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本课程旨在帮助您了解 Google Workspace 中的用户和资源管理流程。学员将探索如何根据组织的需求配置组织部门。此外,学员还将了解如何管理各种类型的 Google 群组。他们还将掌握在 Google Workspace 中管理网域设置的专业知识。最后,学员将掌握如何在 Google Workspace 环境中优化和构建资源。

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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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Workspace 是 Google 的协作应用 平台,由 Google Cloud 提供。在本入门级课程中,您将 从用户角度对 Workspace 的核心应用进行实操练习。虽然 Workspace 包含的应用和工具组件远多于本课程涵盖的范围, 但您将实际操作主要应用:Gmail、日历、表格以及 以及其他一些应用。每个实验可在 10–15 分钟内完成,但课程预留了额外 时间,供您自主自由探索这些应用。

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