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Killua HunterX

成为会员时间：2026

白银联赛

1163 积分
使用 BigQuery 构建数据仓库 Earned Jul 15, 2026 EDT
Arcade Base Camp June 2026 Earned Jun 30, 2026 EDT
Arcade Trail: Data Engineering and Information Protection Earned Jun 30, 2026 EDT
在 Google Cloud 上为机器学习 API 准备数据 Earned Jun 30, 2026 EDT
Skill Up Summer Earned May 28, 2026 EDT
Arcade Voyage: Data Governance and Firebase Foundations Earned May 28, 2026 EDT
Arcade Trail: Cloud Security and DevOps Foundations Earned May 27, 2026 EDT
Arcade Adventure: Modern App Deployment Earned May 22, 2026 EDT
Arcade Trail: Data Migration Earned Apr 30, 2026 EDT
Arcade Voyage: Modern Application Development Earned Apr 30, 2026 EDT
Arcade Adventure: GKE Operations and Networking Earned Apr 20, 2026 EDT
Arcade Base Camp April 2026 Earned Apr 20, 2026 EDT
Works Meet Play: Skills Spawn Earned Apr 18, 2026 EDT
用 Apps 脚本整合 BigQuery 数据和 Google Workspace Earned Apr 11, 2026 EDT
使用 BigQuery 实现多模态向量搜索 Earned Apr 11, 2026 EDT
在 Google Cloud 上实现 CI/CD 流水线 Earned Apr 11, 2026 EDT
在 Google Cloud 中实施 Sensitive Data Protection Earned Apr 11, 2026 EDT
使用 Apps 脚本和 AppSheet 进行开发 Earned Apr 11, 2026 EDT
使用 Gemini 和 Streamlit 开发生成式 AI 应用 Earned Apr 8, 2026 EDT
在 Google Cloud 上构建网站 Earned Apr 8, 2026 EDT
使用 Knowledge Catalog 构建数据网格 Earned Apr 8, 2026 EDT
使用 Gemini 分析和推理多模态数据 Earned Apr 8, 2026 EDT
为 Compute Engine 实现云负载均衡 Earned Apr 6, 2026 EDT
Google DeepMind：训练小语言模型 Earned Apr 6, 2026 EDT
用　Database Migration Service　将 MySQL 数据迁移至 Cloud SQL Earned Apr 6, 2026 EDT
利用氛围编程和 MCP 构建 Cloud 智能应用 Earned Apr 6, 2026 EDT
Dialogue Design Earned Apr 5, 2026 EDT

完成中级技能徽章课程使用 BigQuery 构建数据仓库，展示以下技能： 联接数据以创建新表、排查联接故障、使用并集附加数据、创建日期分区表， 以及在 BigQuery 中使用 JSON、数组和结构体。

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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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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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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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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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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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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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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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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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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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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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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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完成用 Apps 脚本整合 BigQuery 数据和 Google Workspace 这一入门级技能徽章课程，展示通过 AppSheet 连接 Workspace 产品与 BigQuery 的技能。

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完成中级技能徽章课程“使用 BigQuery 实现多模态向量搜索”， 展示自己在以下方面的技能：使用 Gemini in BigQuery 生成和调试 SQL；进行情感分析； 总结文本和识别关键字；生成嵌入；创建 RAG（检索增强生成）流水线； 以及实现多模态向量搜索。

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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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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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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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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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完成本课程，赢取 Google DeepMind：训练小语言模型高级技能徽章，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。 注册免费订阅，即可免费访问此实验。每月可免费获得 35 个点数！

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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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完成“利用氛围编程和 MCP 构建 Cloud 智能应用”课程，即可获得技能徽章。在本课程中，您将学习如何利用 Google 的 AI 编码助理和 MCP 服务器的强大功能。

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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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