Akshat Tripathi
成为会员时间:2023
钻石联赛
18930 积分
成为会员时间:2023
完成保护 Lakehouse 数据这一入门级技能徽章课程,展示您在以下方面的技能:使用 IAM、BigQuery、Lakehouse 和 Knowledge Catalog 中的 Data Catalog 创建和保护 Lakehouse 表。
Who says you need a mountain of code to build great software? This adv is your fast lane to rapid app development and automation. First, you'll jump into Google AppSheet to build and launch fully functional apps entirely code-free. Then, you'll master the backend with Cloud Run Functions, deploying event-driven code via the console and command line. Packed with two hands-on challenge labs, this quest is your ticket to building slick apps and scaling them effortlessly on Google Cloud.
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。
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。
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。
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。
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。
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!
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.
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.
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.
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.
Great ideas come to life when creativity meets the right tools. Inspired by how Adobe connects its creative universe with Google Workspace to boost collaboration, this challenge shows you how to build seamless, efficient workflows. You’ll start with the basics of setting up shared spaces in Google Drive, managing communications in Gmail, and building no-code apps with AppSheet. From there, you'll connect your workspace to powerful data tools—using Apps Script to automate tasks across Sheets and Maps, analyzing massive datasets with Connected Sheets, and sending that data directly into slide presentations. By the end, you'll know how to bridge the gap between data and design to keep your projects running smoothly.
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.
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.
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.
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.
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.
“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。
完成用 Chrome 企业进阶版安全功能保护云中的数据流量这一技能徽章课程,赢取技能徽章。在此课程中,您将学习 如何利用 Chrome Enterprise 进阶版为关键应用与服务筑牢安全访问屏障,依托现代化 零信任平台提升安全状态,借助基于身份和情境感知的访问权限控制安全分配资源权限,以及通过客户端连接器支持混合云工作负载稳定运行。
完成中级技能徽章课程利用 BigQuery ML 构建预测模型时的数据工程处理, 展示自己在以下方面的技能:利用 Dataprep by Trifacta 构建 BigQuery 数据转换流水线; 利用 Cloud Storage、Dataflow 和 BigQuery 构建提取、转换和加载 (ETL) 工作流; 以及利用 BigQuery ML 构建机器学习模型。
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!
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!
完成 使用 Google Cloud Speech API这一技能徽章课程,赢取技能徽章。在此课程中,您将学习如何创建 Speech-to-Text API 请求、 将音频语音转写成文字,以及转写语音。
完成为 Looker 信息中心和报告准备数据入门级技能徽章课程, 展现您在以下方面的技能:对数据进行过滤、排序和透视;将来自不同 Looker 探索的结果合并; 以及使用函数和运算符构建 Looker 信息中心和报告以用于数据分析和可视化。
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。
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.
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.
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。
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.
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。
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.
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。
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.
本课程展示了将 Google Cloud 服务和工具 与 Workspace 应用集成带来的强大功能。您将使用 BigQuery API、Apps 脚本、Google 表格和 Google 幻灯片 与 Google Cloud 数据源建立直接联系, 以收集、分析和呈现数据。
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。
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。
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。
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。
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。
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。
完成用 Cloud Vision API 分析图片课程,赢取技能徽章。在此挑战任务中,您将了解如何利用 Cloud Vision API 执行各种任务,包括从图片中提取文本。
完成增强 Lakehouse 数据的元数据管理与数据发现能力这一技能徽章课程,展示您在 BigQuery、 Lakehouse 和 Knowledge Catalog 方面的技能。您将创建 Lakehouse 表,并增强表数据的元数据管理与数据发现能力。
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。
完成使用 Google API 分析语音和语言课程,赢取技能徽章 。在此课程中,您将学习如何在真实场景中使用 Natural Language API 和 Speech API。
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。
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。
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。
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。
Over 80% of security breaches are linked to misconfigurations and weak access controls — which is why mastering cloud security and automation matters. In this adventure, you’ll detect and investigate threats with Security Command Center, create IAM custom roles, and secure digital transactions using Confidential Space. You’ll also strengthen your data and infrastructure skills by working with Datastore, Pub/Sub, Cloud Storage APIs, data joins and warehousing techniques, load balancers, Terraform, and CI/CD pipelines with Jenkins on Kubernetes Engine. Together, these labs help you build secure, reliable, and scalable cloud environments with confidence.
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!
完成“使用 Eventarc 构建事件驱动型应用”课程,赢取技能徽章。 在这门课程中,您将使用 Eventarc 为不同资源创建事件触发器,包括 Pub/Sub 主题和 Cloud Storage 存储桶。
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。
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。
This month's Arcade Sprint 1 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 2 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
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。
This month's Arcade Sprint 3 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 4 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
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。
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。
Over 85% of enterprises are accelerating AI and cloud adoption to stay ahead. In this voyage, you’ll prepare and protect data using Dataprep and the Cloud Data Loss Prevention API, scan for vulnerabilities, and validate workloads. You’ll also build and deploy modern applications using Cloud Build, GKE pipelines, App Engine Flexible, and Artifact Registry — while creating AI-powered solutions with Vertex AI, Gemini, and Speech-to-Text. Together, these labs help you secure data, deploy confidently, and build intelligent cloud applications at scale.
Modern cloud teams rely on automation and strong platform knowledge to move faster and smarter. In this trail, you’ll deploy Kubernetes Load Balancers and Cloud SQL using Terraform, strengthen observability with Cloud Logging, and customize analytics experiences in Looker using Liquid. You’ll also put your knowledge to the test through role-based Arcade Quizzes — from Data Practitioner and Database Engineer to Workspace Administrator — sharpening both your technical confidence and real-world readiness.
Holi is all about bringing different colors together — and that’s exactly what this challenge does with technology. You’ll package applications with Docker, manage deployments using Kubernetes Engine, secure access with IAM and VPN, and deploy apps on App Engine. You’ll also store data in Cloud Storage and explore how AI APIs can analyze, classify, and translate text. It’s a hands-on way to see how different cloud pieces come together to build something reliable, secure, and smart.
Great data experiences don’t happen by accident — they’re modeled, optimized, and scaled with intent. In this challenge, you’ll build a strong foundation with Looker by creating modeled queries, defining measures and dimensions, modularizing LookML with extends, and refining logic using functions and operators. You’ll filter Explores, merge results, and sort insights to uncover what truly matters. You’ll also enhance performance with caching and explore distributed processing with Dataproc. These are the same capabilities that Zoomcar used on Google Cloud to modernize its data stack — and now, you get to build them too!
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。
完成中级技能徽章课程通过 BigQuery ML 创建机器学习模型,展示您在以下方面的技能: 使用 BigQuery ML 创建和评估机器学习模型,以执行数据预测。
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。
Over 70% of cloud professionals say hands-on practice is the most effective way to build real-world skills. In this adventure, you’ll develop hands-on skills across data analytics, automation, security, networking, and application deployment using Google Cloud and Workspace tools. You’ll create dashboards and alerts in Looker, analyze security findings, work with AI-powered services, deploy CI/CD pipelines, and manage network access and traffic insights—strengthening your ability to design, monitor, and operate reliable, scalable cloud solutions.
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。
This month's Arcade Sprint 4 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 3 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 2 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
This month's Arcade Sprint 1 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!
Pup and Kit’s World Cup journey highlights how the right skills quietly power great experiences. As they plan, adapt, and stay in sync using data, automation, and cloud-based tools, the story nudges you to step into their shoes and build those capabilities yourself. Each lab mirrors a moment from their adventure, encouraging you to explore, experiment, and strengthen skills that help you stay prepared, move faster, and make smarter choices-whatever the situation demands.
As Pup and Kit move through the city between matches—booking plans on the fly, exploring structures built to last, and navigating busy streets—the story reflects what it takes to keep systems running smoothly behind the scenes. From securing storage and shaping networks to improving performance, reliability, and cost efficiency, these labs echo the quiet work that makes flexibility possible. Along the way, hands-on challenges and quizzes sharpen decision-making, so when it’s time for the next big play, everything is ready to perform.
Developers using managed cloud services can reduce infrastructure management effort by up to 60%, allowing more time to focus on building features that matter. In this level, you’ll gain hands-on experience with Cloud SQL, containerized workloads, and cloud-native application development through the Arcade ACE App Dev series, helping you design, deploy, and manage scalable applications more efficiently.
Getting started with cloud and data tools is all about building strong fundamentals. In this voyage, you’ll gain hands-on skills by working with Google Cloud APIs, Compute Engine, Cloud Storage, networking, and serverless services. You’ll also explore how to collect, validate, analyze, and visualize data using Google Sheets and Forms, while learning how to manage secure access with Vault policies. Together, these labs help you build confidence with core cloud services and everyday data workflows that support efficient, secure, and scalable solutions.
It begins with a simple question: Where to next? Inspired by Agoda’s AI-powered travel platform, this challenge shows how AI helps turn preferences into vivid destinations, detailed itineraries, and stunning visuals. You’ll build intelligent apps that understand intent, generate rich content, and deliver real-time recommendations — supported by cloud-native services that keep everything fast, reliable, and seamless. The result: planning that feels effortless, inspiring, and part of the journey itself.
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!
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。
Infrastructure is the backbone of modern care. Following the blueprint set by Manipal Hospitals, this challenge dives into the backend architecture that powers healthcare at scale. From automating CI/CD pipelines to securing containerized workloads on GKE, you will explore how cloud-native tools directly impact real-world outcomes—like faster prescriptions and safer transitions of care. Learn to architect for reliability, ensuring that when the demand spikes, your system doesn't just run; it performs.
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!
Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 4 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 3 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 2 badge!
Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.
Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 1 badge!
Generative AI is quickly becoming a core part of modern cloud solutions. In this challenge, you’ll build applications using Gemini on Vertex AI for text embeddings, multimodal content generation, and text-to-image workflows, while also learning how to ingest data into BigQuery from Cloud Storage. You’ll then test your understanding through role-based Arcade quizzes designed for Workspace Administrators, Database Engineers, DevOps Engineers, and Digital Leaders—bringing together hands-on building and practical knowledge validation.
Over 80% of modern applications rely on event-driven architectures or real-time messaging to stay responsive at scale. In challenge, you’ll work with Pub/Sub to build event-driven systems, deploy workloads on Google Kubernetes Engine, manage authentication and dynamic secrets with Vault, and explore language processing using Cloud APIs. You’ll also build Flutter applications and work with Cloud Spanner, gaining hands-on experience across messaging, security, data, and application development.
Setting goals is a big part of New Year resolutions—but sustaining a healthy work-life balance is what truly makes them stick. This challenge helps you organize your inbox, manage schedules, collaborate smoothly, and track work efficiently using Google Workspace tools. Start the year with better planning, clearer communication, and workflows that support productivity without burnout.
A new year brings a fresh opportunity to build consistency in how you learn and apply cloud skills. In this challenge, you’ll deploy applications using App Engine and Cloud Run Functions, work with Compute Engine instances, and manage data through Cloud Storage using both the console and CLI. You’ll also define fine-grained access with custom IAM roles, analyze logs, create alerts from logs-based metrics, and monitor workloads across multiple projects. Together, these labs help you begin the year by strengthening essential cloud operations skills and developing habits that support reliable, well-monitored applications.
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。
完成在 Cloud Run 上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:集成 Cloud Run 与 Cloud Storage 以管理数据, 使用 Cloud Run 和 Pub/Sub 设计弹性异步系统架构, 构建依托 Cloud Run 技术的 REST API 网关,以及在 Cloud Run 上构建和部署服务。
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。
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。
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。
Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 4 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 3 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 2 badge!
Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 1 badge!
Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.
Organizations today rely on secure data controls, resilient network design, and AI-driven insights to operate confidently at scale. In this challenge, you’ll manage Vault policies and tokens, validate SQL Server workloads, and visualize security alerts using Google SecOps. You’ll also establish VPC-to-VPC and hybrid connectivity with NCC and steer global traffic with Cloud DNS geolocation policies. On the AI side, you’ll improve speech recognition accuracy and extract, analyze, and translate text using Cloud ML and Natural Language tools. These labs show how modern cloud systems stay protected, connected, and intelligent in an ever-evolving environment.
Google processes over 2 trillion data operations a day—and now you’ll tap into the skills behind that scale on your path to your next Winter Win. You’ll streamline collaboration with Google Workspace, prep insight-ready data for Looker, build secure networks, launch compute resources, and keep everything steady with smart monitoring. Then you’ll bring it all together by deploying a website, building an AppSheet app, and managing data across Google Cloud. By the time you’re through, you won’t just reach your next Winter Win—you’ll feel like you earned every bit of it.
Intelligent systems today process everything from scanned invoices to massive data lakes, all while powering apps that users expect to work instantly. Handling that complexity calls for advanced AI, strong governance, and dependable cloud architecture. In this challenge, you’ll extract insights from documents with Document AI, organize and manage distributed data using Dataplex, and secure sensitive information with Cloud KMS. You’ll also deploy containerized apps on Kubernetes Engine, build real-time backends with Firebase, create no-code chat apps with AppSheet, and monitor live activity through Streamlit. These labs show how modern cloud solutions combine intelligence and architecture to stay efficient, secure, and ready for anything.
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.
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!
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。
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 Knowledge Catalog 数据湖以进行数据治理。
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。
完成“使用 Cloud Run Functions 构建无服务器应用”课程,赢取“入门”技能徽章。您将学习如何通过 Google Cloud 控制台和命令行使用 Cloud Run Functions。 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。
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。
完成 BigQuery 流式数据分析技能徽章课程,赢取技能徽章 。在这门课程中,您将结合使用 Pub/Sub、Dataflow 和 BigQuery 来实现流式 数据分析。
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。
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!
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。
完成用 Document AI 实现大规模自动数据采集课程,赢取入门级技能徽章。在本课程中,您将学习如何使用 Document AI 提取、处理和采集数据。
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。
This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.
本视频介绍了如何使用 Gemini 消除繁琐的手动数据录入。了解如何拍摄数据照片或截取数据屏幕截图(来自 PDF、纸质文档或图片),然后提示 Gemini 立即将其转换为结构化的 Google 表格。探索这个简单技巧,让 Gemini 成为您的个人数据录入助理,节省大量转写数据的时间。只需拍照、撰写提示并导出即可!
本视频将向您介绍如何利用 AI 识别策略中的弱点和潜在假设。您将学习“挑刺”法,这是一种借助 AI 提示词对方案进行压力测试的简便方法,有助于查漏补缺并强化战略思维。
This video will cover how to use NotebookLM to gather and analyze publicly available information, combine it with internal documents, and extract key competitive insights.
本视频介绍如何在 Google Workspace 中定制个性化的 Gemini 输出结果。了解如何使用“@”符号将文档和研究论文直接引入提示词,从而获得更具针对性、契合您特定需求的相关 AI 输出。
本视频将介绍如何在 Google Workspace 中使用 Gemini 总结长文档,以便快速获取所需信息并节省时间。您将学习如何使用 Gemini 总结整个文档或仅所选文本,以及如何使用云端硬盘中的 Gemini 跨多个文件进行总结。
本视频介绍了提示工程的基础知识,帮助您与 AI 进行有效沟通。学习一个简单的框架(角色设定、任务、背景信息、格式),以便撰写清晰的提示,从而更快地从 Google Workspace 中的 Gemini 获得更理想的结果。了解如何使用自然语言、具体说明和迭代来获得最佳 AI 辅助。
本视频将介绍如何在 Google 文档中借助 Gemini 先进的 AI 功能来构思创意、起草各类营销内容,并与团队开展协作。
This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.
本视频介绍了如何创建自己的 Gemini Gem,这是一种高级 AI 功能,可以自动执行重复性任务并大幅提升工作效率。
完成中级技能徽章课程使用 Agent Platform 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。
完成中级技能徽章课程使用多模态 Gemini 和多模态 RAG 检查富文档,展示您在以下方面的技能: 将多模态与 Gemini 配合使用,从而使用多模态提示从文本数据和视觉数据中提取信息、生成视频说明、 检索视频中不包含的额外信息; 将多模态检索增强生成 (RAG) 与 Gemini 配合使用,以构建包含文本和图片的文档的元数据、获取所有相关文本块并输出引用。
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。
完成“使用 Gemini 和 Imagen 构建实际 AI 应用”技能徽章入门课程,展示您在以下方面的技能:图像识别、自然语言处理、 使用 Google 强大的 Gemini 和 Imagen 模型生成图像、在 Vertex AI 平台上部署应用。
完成 在 Agent Platform 中设计提示入门技能徽章课程,展示以下方面的技能: Agent Platform 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。