Nishant Gupta
Member since 2026
Bronze League
1317 points
Member since 2026
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.
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.
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.
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.
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「管理 Google Cloud 中的 Kubernetes」技能徽章中階課程, 即可證明您具備下列技能:使用 kubectl 管理部署作業、 在 Google Kubernetes Engine (GKE) 監控應用程式與偵錯,以及運用技術持續推送軟體更新。
完成 使用 Gemini 多模態功能和多模態 RAG 檢查複合型文件 技能徽章中階課程,即可證明您具備下列技能: 透過 Gemini 多模態功能,使用多模態提示從文字和影像資料擷取資訊、生成影片說明,以及擷取影片以外的額外資訊; 透過 Gemini 的多模態檢索增強生成 (RAG) 功能,為含有文字和圖片的文件建構中繼資料、取得所有相關文字分塊,以及顯示引用資料。
完成使用 Google Cloud Managed Service for Prometheus 監控環境技能徽章課程,學習透過 Google Cloud Managed Service for Prometheus 監控 Kubernetes,即可獲得技能徽章。
完成 在 Google Cloud 實作 DevOps 工作流程 技能徽章中階課程, 即可證明您具備下列技能:使用 Cloud Source Repositories 建立 Git 存放區、 在 Google Kubernetes Engine (GKE) 發布、管理和調度 Deployment, 以及建立 CI/CD 管道,自動建構容器映像檔與執行 GKE 部署作業。
完成「在 Google Cloud 使用機器學習 API」課程,即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能: Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
完成在 Google Cloud 實作 CI/CD 管道技能徽章中階課程,即可獲得技能徽章。 您將透過本課程學習如何使用 Artifact Registry、Cloud Build 和 Cloud Deploy,並且操作 Google Cloud 控制台、Google Cloud CLI、Cloud Run 和 GKE。本課程會介紹如何建構持續整合 管道、儲存及保護構件、掃描安全漏洞、驗證 已核准的發布版本是否有效。此外,您還會實際操作,將應用程式 同時部署至 GKE 和 Cloud Run。
完成部署與管理 Apigee X技能徽章課程,即可獲得技能徽章。 您將瞭解 Apigee X 架構、如何在 Google Cloud 專案佈建 Apigee X 組織、 如何透過 Apigee API 和 UI 管理 Apigee X,以及如何運用 Cloud Armor 和 Apigee 的威脅防護政策 來保護您的 API。
完成「使用 Apps Script 整合 BigQuery 資料與 Google Workspace」技能徽章入門課程,即可證明您瞭解如何透過 AppSheet 將 Workspace 產品連結至 BigQuery。
完成「Google Cloud 監控工具」技能徽章入門課程, 即可證明您具備下列技能:使用 Cloud Monitoring 工具監控 Google Cloud 資源。
完成「搭配使用 API 和 Cloud Storage」 技能徽章入門課程,即可證明您具備下列技能: 搭配使用 API 和 Cloud Storage 資源,包括 Cloud Storage API。
完成「在 Looker 建構 LookML 物件」技能徽章入門課程, 即可證明您具備下列技能: 建立新的維度和測量指標、檢視畫面和衍生資料表;根據需求設定測量指標篩選器和類型; 更新維度和測量指標; 建構及調整「探索」;將檢視表彙整至現有「探索」;以及配合業務需求決定要建立哪些 LookML 物件。
完成「使用 Dataplex 組織和治理數據」技能徽章入門課程, 即可證明您具備下列技能:建立 Dataplex 資產、建立切面類型、 並將切面套用至 Dataplex 中的項目。
Complete the advanced Google DeepMind: Train A Small Language Model skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model. Access this lab at no-cost by signing up for the no-cost subscription. Receive 35 free credits each month!
完成「以串流方式將分析資料傳入 BigQuery」課程,即可獲得技能徽章。 在此課程中,您將綜合應用 Pub/Sub、Dataflow 和 BigQuery,並以串流方式傳送 資料進行分析。
完成使用 Apps Script 及 AppSheet 進行開發作業技能徽章課程,即可獲得技能徽章, 瞭解如何建構聊天機器人,以及如何使用在任何文件中使用指令碼編輯器。
完成b>「App Engine:3 種應用」課程<,即可獲得技能徽章 。瞭解如何搭配 Python、Go 和 PHP 使用 App Engine。
完成「監控及管理 Google Cloud 資源」技能徽章入門課程,即可證明您具備下列技能:授予及撤銷 IAM 權限; 安裝 Monitoring 和 Logging 代理程式;建立、部署及測試事件導向的 Cloud Run 函式。
完成「開始使用 Sensitive Data Protection」 技能徽章入門課程,證明您具備下列技能:使用 Sensitive Data Protection 服務 (包括 Cloud Data Loss Prevention API) 來檢查、遮蓋及去識別化 Google Cloud 中的機密資料。
完成在 Google 試算表使用函式、公式及圖表技能徽章中階課程, 即可證明您具備下列技能:運用函式分析資料、使用圖表呈現資料、設定資料格式,以及搜尋、 驗證與顯示資料。
完成「在連結試算表中分析 BigQuery 資料」技能徽章,即可證明您能使用連結試算表,在 Google 試算表中存取、分析及共用數十億列的 BigQuery 資料,還能以圖表呈現。
完成「實現事件驅動的即時訊息與自動化工作流」任務,即可獲得 技能徽章。 技能徽章課程,您將瞭解如何透過 Cloud 控制台使用 Pub/Sub、 如何使用 Cloud Scheduler 工作節省心力,並透過 Pub/Sub Lite 節省擷取大量事件 的費用。
完成「使用 Google Cloud Speech API」課程,即可獲得技能徽章。本課程將說明如何建立 Speech-to-Text API 要求、將音訊 及語音轉錄為文字。
完成「Gemini 和 Imagen 實務應用:建構 AI 應用程式」技能徽章入門課程,即可證明您具備下列技能:圖片辨識、自然語言處理、 使用 Google 強大的 Gemini 和 Imagen 模型生成圖片,以及在 Vertex AI 平台上部署應用程式。
完成 在 Vertex AI 設計提示 技能徽章入門課程,即可證明您具備下列技能: 在 Vertex AI 設計提示、分析圖片,以及運用多模態模型生成內容。瞭解如何建立有效的提示、引導生成式 AI 輸出內容, 以及將 Gemini 模型用於實際的行銷情境。
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.
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.
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!
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.
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.
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.
建立您的第一個 Gemini Enterprise 應用程式,獲得技能徽章!將各種資料來源連接到您的應用程式,建立強大的統合式搜尋和分析引擎。掌握 Deep Research 代理、多代理構思和 NotebookLM 等進階功能,進行重點分析。
完成「建立及管理 Bigtable 執行個體」技能徽章入門課程,證明您具備下列技能:建立執行個體、設計結構定義、 查詢資料,以及在 Bigtable 執行管理工作,包括監控效能、設定自動調度節點資源和複製作業。
完成「在 Vertex AI 使用 Gemini API 探索生成式 AI」技能徽章中階課程,即可證明自己具備下列技能: 可運用 Gemini API 生成文字、分析圖片和影片來強化內容創作能力,還能使用函式呼叫技巧。 本課程將帶您瞭解如何善用進階的 Gemini 技術、使用多模態內容生成功能,並提升 AI 專案的潛力。
完成使用 AppSheet 建構應用程式課程,即可獲得技能徽章 ,瞭解如何使用 AppSheet 建構、設定及發布應用程式。
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!
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!
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.
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.
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!
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!
本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具,可協助分析客戶資料及預測產品銷售情形。您也會學習如何在 BigQuery 中使用客戶資料識別、分類及開發新客戶。透過使用實作研究室,您可以體驗 Gemini 如何改良資料分析和機器學習工作流程。 Duet AI 已更名為 Gemini,這是我們的新一代模型。
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!
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.