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Gabriel Perez

成为会员时间:2023

在 Google Cloud 中实施 DevOps 工作流 Earned Apr 11, 2026 EDT
在 Google Cloud 上实现 CI/CD 流水线 Earned Apr 10, 2026 EDT
Architecting with Google Kubernetes Engine: Production Earned Apr 7, 2026 EDT
打造您的首个 Gemini Enterprise 应用 Earned Mar 25, 2026 EDT
Google Kubernetes Engine 使用入门 Earned Mar 24, 2026 EDT
Deploy an Agent with Agent Development Kit (ADK) Earned Mar 18, 2026 EDT
使用智能体开发套件 (ADK) 打造您的首个智能体 Earned Mar 16, 2026 EDT
Modernizing Retail and Ecommerce Solutions with Google Cloud Earned Feb 20, 2026 EST
大型语言模型简介 Earned Feb 19, 2026 EST
生成式 AI 简介 Earned Feb 18, 2026 EST
Creating Infrastructure on Google Cloud with Terraform Earned Feb 17, 2026 EST
在 Google Cloud 上构建网站 Earned Feb 10, 2026 EST
利用 Gemini CLI 加快应用开发速度 Earned Feb 3, 2026 EST
在 Google Cloud 上使用 Terraform 构建基础设施 Earned Jan 19, 2026 EST
Discover Business Value for Customers Earned Dec 23, 2025 EST
Level 3: Cloud Development Essentials Earned Dec 12, 2025 EST
Google Skills Arcade Base Camp December 2025 Earned Dec 10, 2025 EST
使用 Vertex AI 中的 Gemini API 探索生成式 AI Earned Dec 8, 2025 EST
Generative AI Fundamentals Earned Dec 5, 2025 EST
Leverage best practices for developing, operating, and securing production-grade Conversational Agents Earned Dec 5, 2025 EST
Analyze patterns in conversational data with Customer Experience Insights Earned Dec 4, 2025 EST
Leverage data with Customer Experience Insights Earned Dec 4, 2025 EST
Introduction to Agent Assist and its GenAI Capabilities Earned Dec 4, 2025 EST
Agent Summarization (Custom) Earned Dec 4, 2025 EST
Integrate Agent Assist with Telephony and Chatbot Systems Earned Dec 1, 2025 EST
Conversational AI Voice and Chat Integrations Earned Nov 28, 2025 EST
Build basic Conversational Agents with Playbooks and Flows Earned Nov 27, 2025 EST
Extend CX Agents with Vertex AI Search data stores Earned Nov 27, 2025 EST
Incorporate Generative Features into Conversational Agent Flows Earned Nov 27, 2025 EST
Extend Conversational Agents Functionality with Webhooks and Tools Earned Nov 25, 2025 EST
Create Conversational Agents with Stateful Flows Earned Nov 24, 2025 EST
Improve customer and agent satisfaction with Agent Assist Earned Nov 24, 2025 EST
Generative Playbooks Earned Nov 21, 2025 EST
Introduction to Gemini Enterprise for Customer Experience Earned Nov 20, 2025 EST
Extend virtual agents with webhooks, tools, and Messenger integration Earned Nov 19, 2025 EST
借助 Gemini Enterprise 加速知识交流 Earned Nov 17, 2025 EST
Introduction to Cloud Identity Earned Nov 12, 2025 EST
在 Vertex AI 中设计提示 Earned Nov 12, 2025 EST
适用于端到端 SDLC 的 Gemini Earned Oct 9, 2025 EDT
适用于 DevOps 工程师的 Gemini Earned Oct 9, 2025 EDT
适用于安全工程师的 Gemini Earned Oct 9, 2025 EDT
适用于网络工程师的 Gemini Earned Oct 9, 2025 EDT
面向数据科学家和分析师的 Gemini Earned Oct 9, 2025 EDT
适用于云架构师的 Gemini Earned Oct 9, 2025 EDT
适用于应用开发者的 Gemini Earned Oct 9, 2025 EDT
Level 3: Developer Essentials Earned Sep 24, 2025 EDT
Skills Boost Arcade Base Camp September 2025 Earned Sep 18, 2025 EDT
使用 Cloud Run Functions 构建无服务器应用 Earned Nov 4, 2024 EST
云架构:设计、实施和管理 Earned Nov 4, 2024 EST
在 Google Cloud 上存储、处理和管理数据 - 命令行 Earned Oct 28, 2024 EDT
在 Google Cloud 上存储、处理和管理数据 - 控制台 Earned Oct 28, 2024 EDT
Sensitive Data Protection 使用入门 Earned Oct 21, 2024 EDT
用 AppSheet 来构建应用 Earned Oct 21, 2024 EDT
实现事件驱动的即时消息和自动化工作流 Earned Oct 21, 2024 EDT
在 Cloud Storage 上创建流式数据湖 Earned Oct 21, 2024 EDT
Dataplex 使用入门 Earned Oct 19, 2024 EDT
使用 Natural Language API 分析情感 Earned Oct 19, 2024 EDT
Looker 使用入门 Earned Oct 19, 2024 EDT
为 Google Cloud 配置服务账号和 IAM 角色 Earned Oct 19, 2024 EDT
在 Cloud Storage 上创建安全的数据湖 Earned Oct 18, 2024 EDT
实现 Cloud Storage 和数据保护解决方案 Earned Oct 18, 2024 EDT
Google Cloud 云计算基础知识 Earned Oct 16, 2024 EDT
DEPRECATED Networking Fundamentals on Google Cloud Earned Oct 15, 2024 EDT
Google Cloud 中的监控功能 Earned Oct 15, 2024 EDT
监控和管理 Google Cloud 资源 Earned Oct 15, 2024 EDT
为 Compute Engine 实现云负载均衡 Earned Oct 15, 2024 EDT
在 Google Cloud 中管理 Kubernetes Earned May 21, 2024 EDT
在 Google Cloud 上部署 Kubernetes 应用 Earned May 8, 2024 EDT

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:利用 Cloud Source Repositories 创建 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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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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In this course, you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using Google Cloud managed storage and database services from within GKE. This is the second course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Reliable Google Cloud Infrastructure: Design and Process course or the Hybrid Cloud Infrastructure Foundations with Anthos course.

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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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欢迎学习“Google Kubernetes Engine 使用入门”课程。Kubernetes 是位于应用和硬件基础架构之间的软件层,如果您对 Kubernetes 感兴趣,那就来对地方了!Google Kubernetes Engine 将 Kubernetes 作为 Google Cloud 上的代管式服务提供给您使用。 本课程的目标是介绍 Google Kubernetes Engine(通常称为 GKE)的基础知识,以及将应用容器化并在 Google Cloud 中运行的方法。本课程首先介绍 Google Cloud 的基础知识,然后概述容器、Kubernetes、Kubernetes 架构以及 Kubernetes 操作。

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In this challenge lab, you will demonstrate your ability to author agents using Agent Development Kit (ADK), deploy those agents to Agent Engine, and use them from a web app. Complete the challenge lab to earn a Google Cloud skill badge.

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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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In this course, you will learn about the various services Google Cloud offers for modernizing retail applications and infrastructure. Through a series of lecture content and hands-on labs, you will gain practical experience deploying cutting-edge retail and ecommerce solutions on Google Cloud.

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这是一节入门级微学习课程,探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能,还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。

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这是一节入门级微课程,旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。

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In this quest you will get hands-on experience writing infrastructure as code with Terraform.

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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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本课程的适用对象是想要借助于 Gemini CLI(一款专为终端打造并由 Gemini 提供支持的生成式 AI 智能体)来更智能地工作的应用开发者和 DevOps 工程师。 本课程探讨了 Gemini CLI 的安装和配置,并介绍了其应用场景和安全最佳实践。课程中还详细讲解了命令、工具、MCP 服务器和扩展程序。通过实践练习,您将安装和配置 Gemini CLI,并使用它来分析代码以及构建和修改应用。

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完成在 Google Cloud 上使用 Terraform 构建基础设施技能徽章中级课程, 展示您在以下方面的技能:在使用 Terraform 时遵循基础设施即代码 (IaC) 原则;利用 Terraform 配置 来预配和管理 Google Cloud 资源;管理有效状态(本地和远程);以及将 Terraform 代码模块化,以方便重复使用和整理。

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The course aims to train Google technical sales partners on the business value discovery process using proprietary content.

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Every day, millions of apps depend on fast data reads, stable networks, and reliable backend logic to keep users connected. Delivering that experience starts with strong development and foundational skills. In this challenge, you’ll level up through ACE App Dev labs, write to Firestore using Python and TypeScript, and build confidence with essential Linux commands. You’ll also strengthen your networking basics. These labs give you the core abilities every cloud developer needs—clean app logic, solid network understanding, and command-line fluency.

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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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完成中级技能徽章课程使用 Vertex AI 中的 Gemini API 探索生成式 AI,展示自己在以下方面的技能: 文本生成技能、用于增强内容创作能力的图像和视频分析技能,以及在 Gemini API 中应用函数调用技术的技能。 了解如何运用先进的 Gemini 技术、探索多模态内容生成方法,并扩展 AI 赋能项目的功能。

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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI. A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.

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Complete the Leverage best practices for developing, operating, and securing production-grade Conversational Agents skill badge to demonstrate your ability to implement a variety of best practices around development, deployment, and security. These will include: Using versions and environments, backing up with Git integration, leveraging test cases and CI/CD testing, tracking conversations with conversation history and logging, redacting data, and securing acceess to agent and webhook endpoints. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network. When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have develope…

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Complete the Analyze patterns in conversational data with Customer Experience Insights skill badge to demonstrate your proficiency in analysing customer conversations with Cx Insights. After completing this challenge, you will be ready to deploy Cx Insights to improve customer service performance, and create better customer experiences. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network. When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!

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In this course you will learn how to leverage Customer Experience Insights (CX Insights) to uncover hidden information from your contact center data to increase operational efficiency and drive data-driven business decisions.

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This course will focus on Agent Assist, an AI-powered tool designed to enhance customer service interactions. In this course, you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the chat channel. You’ll learn how to take full advantage of Agent Assist from Gemini Enterprise for Customer Experience, and its range of Gen AI features and functionality.

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In this course you will learn how Conversational AI Agent Assist can help distill complex customer interactions into concise and clear summaries. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.

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In this course you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the voice channel, as well as the options available for integration with other platforms in the Conversational AI ecosystem.

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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.

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Complete the Build basic Conversational Agents with Playbooks and Flows skill badge to demonstrate your proficiency in building virtual agents using traditional NLU and generative-based features. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network. When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!

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In this course, you'll learn to develop AI agents that answer questions using websites, documents, or structured data. You will explore AI Applications and understand the advantages of data store agents, including their scalability and security. You'll learn about different data store types and also discover how to connect data stores to agents and add personalization for enhanced responses. Finally, you'll gain insights into common search configurations and troubleshooting techniques.

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Explore the Generative AI features for Conversational Agents and how to incorporate them into stateful Flows. Discover the possibilities with Generators, Generative Fallback, and Data Stores, as well as best practices and security settings for using these features.

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Connect conversational agents to external systems and APIs to expand what agents can do, designing an end-to-end system that is resilient, fault-tolerant and secure.

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Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to use them to create conversational agents.

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Complete the Improve customer and agent satisfaction with Agent Assist skill badge to demonstrate your proficiency in configuring basic conversational agents that can escalate actions to human agents, and configuring Agent Assist to help human agents with customer queries. You prove your knowledge in configuring Generators for summarization, classification and recommendation of tickets as well leverage tools such as Generative Knowledge Assist, to provide further context to human agents. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network. When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!

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Explore Playbooks and their implementation of the ReAct pattern for building conversational agents. You will learn how to construct a Playbook, set up goals and instructions to build a chatbot in natural language, and learn to test and deploy your solution.

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This course explores the different products and capabilities of Gemini Enterprise for Customer Experience, including CX Agent Studio, Agent Assist and CX Insights. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.

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Complete the Extend agent functionality with Webhooks, Tools, and Integrations skill badge to demonstrate your ability to let conversational agents take actions. You will create a flow that calls a webhook and a playbook with a tool and combine them into a hybrid agent. You'll also prepare custom payload for rich content experiences in the Conversational Messenger. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network. When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!

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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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Introduction to Cloud Identity serves as the starting place for any new Cloud Identity, Identity/Access Management/Mobile Device Management admins as they begin their journey of managing and establishing security and access management best practices for their organization. This 15-30 hour accelerated, one-week course will leave you feeling confident to utilize the basic functions of the Admin Console to manage users, control access to services, configure common security settings, and much more. Through a series of introductory lessons, step-by-step hands-on exercises, Google knowledge resources, and knowledge checks, learners can expect to leave this training with all of the skills they need to get started as new Cloud Identity Administrators.

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完成 在 Vertex AI 中设计提示入门技能徽章课程,展示以下方面的技能: Vertex AI 中的提示工程、图片分析和多模态生成式技术。探索如何编写有效的提示,指导生成式 AI 输出, 以及将 Gemini 模型应用于真实的营销场景。

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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)如何帮助您使用 Google 产品和服务开发、测试、部署和管理应用。在 Gemini 的协助下,您可以学习如何开发和构建 Web 应用、修复应用中的错误、开发测试和查询数据。您可以通过实操实验了解如何利用 Gemini 来改进软件开发生命周期 (SDLC)。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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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)如何帮助工程师管理基础设施。您将了解如何向 Gemini 输入提示,让其查找和理解应用日志、创建 GKE 集群,以及研究如何创建构建环境。您可以通过实操实验了解如何利用 Gemini 来改进 DevOps 工作流。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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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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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)如何帮助网络工程师创建、更新和维护 VPC 网络。您将学习如何向 Gemini 输入提示,让其针对您的网络组建和管理任务,提供您从搜索引擎所无法获得的具体指导。您可以通过实操实验了解如何利用 Gemini 更轻松地使用 Google Cloud VPC 网络。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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在本课程中,您将了解 Gemini(Google Cloud 的生成式 AI 赋能的协作工具)如何帮助分析客户数据并预测产品销售情况。此外,您还将了解如何在 BigQuery 中使用客户数据来识别、开发新客户并对其进行分类。通过动手实验,您将体验 Gemini 如何改进数据分析和机器学习工作流。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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在本课程中,您将了解 Gemini(Google Cloud 的生成式 AI 赋能的协作工具)如何帮助管理员预配基础设施。您将了解如何通过输入提示来让 Gemini 解释基础设施、GKE 集群的部署,以及现有基础设施的更新。您可以通过实操实验了解如何利用 Gemini 来改进 GKE 部署工作流。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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在本课程中,您将了解 Google Cloud 中依托生成式 AI 技术的协作工具 Gemini 如何帮助开发者构建应用。您将学习如何向 Gemini 输入提示,让其为您解释代码、推荐 Google Cloud 服务并为您的应用生成代码。您将通过实操实验体验 Gemini 对应用开发工作流的改进作用。 Duet AI 已更名为 Gemini,这是我们的新一代模型。

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From containerization with Docker to scalable databases on Firebase, developer success starts with mastering the essentials. These labs guide you through core skills like container networking and volumes, static site hosting on Cloud Storage, database operations with Firestore in multiple languages, and Linux command-line basics—helping you strengthen the foundation every modern developer needs and earn an exclusive Google Cloud credential!

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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 Cloud Run Functions 构建无服务器应用课程,赢取入门级技能徽章。 在本课程中,您可以学习如何通过 Google Cloud 控制台和命令行来使用 Cloud Run functions。

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完成 云架构:设计、实施和管理课程,赢取技能徽章,展示您在以下方面的技能:使用 Apache Web 服务器部署可公开访问的网站;使用启动脚本配置 Compute Engine 虚拟机; 使用 Windows 堡垒主机和防火墙规则配置安全 RDP;构建 Docker 映像并将其部署到 Kubernetes 集群,然后进行更新;以及创建 CloudSQL 实例并导入 MySQL 数据库。 此技能徽章课程是非常有用的资源, 可帮助您理解 Google Cloud 认证 Professional Cloud Architect 认证考试中将会出现的主题。

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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 这一技能徽章课程中,您将使用 Cloud Storage 存储图片,使用 Cloud Functions 处理图片,并使用 Cloud Pub/Sub 将图片发送到另一款应用。

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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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完成 Sensitive Data Protection 使用入门 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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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 实现事件驱动的即时消息和自动化工作流技能徽章课程,赢取技能徽章。 在这门课程中,您将学习如何通过 Cloud 控制台使用 Pub/Sub、如何使用 Cloud Scheduler 作业减轻工作量,以及在哪些用例中可以使用 Pub/Sub Lite 来节省大量事件提取的开支。

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完成在 Cloud Storage 上创建流式数据湖课程,赢取技能徽章。 在这门课程中,您将结合使用 Pub/Sub、Dataflow 和 Cloud Storage 在 Google Cloud 上创建一个流式数据湖。

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完成入门级技能徽章课程 Dataplex 使用入门, 展现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。

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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 Looker 使用入门技能徽章课程,赢取技能徽章, 在这门课程中,您将学习如何使用 Looker Studio 和 Looker 分析、直观呈现和整理数据。

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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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完成入门级技能徽章课程在 Cloud Storage 上创建安全的数据湖,展示以下方面的技能: 保护和配置 Cloud Storage 存储桶、使用 Gemini 生成文本、管理 IAM 访问权限控制以及建立 Dataplex 数据湖以进行数据治理。

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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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Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.

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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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完成监控和管理 Google Cloud 资源这一入门级技能徽章课程,展示您在以下方面的技能:授予和撤消 IAM 权限; 安装 Monitoring 代理和 Logging 代理;创建、部署和测试事件驱动型 Cloud Run 函数。

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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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