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Donnie Davis

成为会员时间:2024

Security Best Practices in Google Cloud: Applications Earned Oct 8, 2026 EDT
保护企业 AI 智能体 Earned Oct 5, 2026 EDT
Model Armor:保障 AI 部署安全 Earned Sep 20, 2026 EDT
Google Cloud 重要基础设施:基础 Earned Sep 19, 2026 EDT
Build a Certification Study Guide: PCA Exam Prep Earned Sep 14, 2026 EDT
为 Compute Engine 实现云负载均衡 Earned Sep 10, 2026 EDT
Getting Started with Terraform for Google Cloud Earned Aug 31, 2026 EDT
了解 Google Cloud 智能体 Earned Aug 28, 2026 EDT
Security Command Center Enterprise 使用入门 Earned Aug 25, 2026 EDT
AI 时代安全性简介 Earned Aug 12, 2026 EDT
使用智能体开发套件 (ADK) 构建 AI 智能体 Earned Jun 20, 2026 EDT
使用智能体开发套件 (ADK) 打造您的首个智能体 Earned Jun 19, 2026 EDT
使用智能体开发套件 (ADK) 打造智能体 Earned Jun 13, 2026 EDT
打造您的首个 Gemini Enterprise 应用 Earned Jun 13, 2026 EDT
企业智能体及其应用场景 Earned Jun 12, 2026 EDT
智能体基础知识 Earned Jun 12, 2026 EDT
AI 智能体简介 Earned Jun 12, 2026 EDT
Mitigating Security Vulnerabilities on Google Cloud Earned Oct 27, 2025 EDT
Security Best Practices in Google Cloud Earned Oct 26, 2025 EDT
面向开发者的 Responsible AI:公平性与偏见 Earned Oct 21, 2025 EDT
Manage Security in Google Cloud Earned Oct 21, 2025 EDT
[DEPRECATED] 适用于安全工程师的 Gemini Earned Oct 19, 2025 EDT
利用 Vertex AI 实现机器学习运维 (MLOps):模型评估 Earned Sep 21, 2025 EDT
适用于生成式 AI 的机器学习运维 (MLOps) Earned Sep 21, 2025 EDT
Vertex AI Studio 简介 Earned Sep 21, 2025 EDT
生成式 AI 智能体:助力组织转型 Earned Sep 16, 2025 EDT
生成式 AI 应用:改变工作方式 Earned Sep 15, 2025 EDT
生成式 AI:全面了解生成式 AI Earned Sep 5, 2025 EDT
生成式 AI:剖析基本概念 Earned Sep 3, 2025 EDT
生成式 AI:不只是聊天机器人 Earned Sep 3, 2025 EDT
Networking in Google Cloud: Hybrid and Multicloud Earned Jun 20, 2025 EDT
Networking in Google Cloud: Load Balancing Earned Jun 9, 2025 EDT
Networking in Google Cloud: Network Security Earned Jun 5, 2025 EDT
Networking in Google Cloud: Network Architecture Earned May 31, 2025 EDT
Networking in Google Cloud: Routing and Addressing Earned May 30, 2025 EDT
Networking in Google Cloud: Fundamentals Earned May 26, 2025 EDT
Google Cloud 基础知识:核心基础设施 Earned May 16, 2025 EDT
Build a Certification Study Guide: PCSE Exam Prep Earned May 13, 2025 EDT

This course equips participants to protect web apps from common vulnerabilities and securely manage app credentials. The curriculum mirrors the 6-Layer AI Stack and Google Cloud Minimum Viable Security Platform mandates to help you secure existing environments.

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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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这门自助式速成课程向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务,其中着重介绍了 Compute Engine。学员将通过一系列视频讲座、演示和动手实验,探索和部署各种解决方案元素,包括网络、虚拟机和应用服务等基础架构组件。您将学习如何通过控制台和 Cloud Shell 使用 Google Cloud。您还将了解云架构师角色、基础架构设计方法以及虚拟网络配置和虚拟私有云 (VPC)、项目、网络、子网、IP 地址、路由及防火墙规则。

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Architect 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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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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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building and managing Google Cloud resources using Terraform.

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本课程全面概述了 Google Cloud 的智能体平台,包括 Vertex AI Agent Builder、Gemini Enterprise、Conversational Agents 和智能体开发套件。学员将了解每项产品的独特功能,区分具体应用场景的最佳解决方案,并获得有关创建搜索和聊天应用的基础知识。

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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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人工智能 (AI) 具备巨大的变革潜力,但也带来了新的安全挑战。本课程专为负责安全性和数据保护的领导者而设计,助其运用相关策略在组织内安全管理 AI。学习一个有助于实现以下目标的框架:主动识别并减轻 AI 特有的风险,保护敏感数据,确保遵从法规,构建弹性 AI 基础设施。通过四个不同行业的精选用例,探索这些策略如何应用于现实场景。

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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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使用 Google 的智能体开发套件 (ADK) 构建、配置和运行您的第一个 AI 智能体,将您对智能体的理解转化为实际应用。 在本实操课程中,您将设置一个完整的 ADK 开发环境,使用 Python 代码和 YAML 配置两种方式创建智能体,并通过多个界面运行智能体。您还将学习定义智能体行为的核心参数,将您在课程 1 中学到的知识应用到实际代码中。

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了解如何使用智能体开发套件 (ADK) 构建可用于生产用途的复杂 AI 智能体。本课程介绍了 ADK 的开源框架,助力开发者从简单的提示工程跨越到代码优先的结构化软件开发方法,从而构建企业级多智能体系统。

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

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

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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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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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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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在本课程中,您将了解 Gemini(Google Cloud 推出的一款依托生成式 AI 的协作工具)如何帮助您保护您的云环境和资源。您将学习如何将示例工作负载部署到 Google Cloud 环境中,以及如何借助 Gemini 识别和修复安全配置错误。您可以通过实操实验了解如何利用 Gemini 来改善云安全状况。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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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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本课程介绍 Vertex AI Studio,这是一种用于与生成式 AI 模型交互、围绕业务创意进行原型设计并在生产环境中落地的工具。通过沉浸式应用场景、富有吸引力的课程和实操实验,您将探索从提示到产品的整个生命周期,了解如何将 Vertex AI Studio 用于多模态 Gemini 应用、提示设计、提示工程和模型调优。本课程的目的在于帮助您利用 Vertex AI Studio,在自己的项目中充分发掘生成式 AI 的潜力。

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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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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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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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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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