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Maaz Hm

Member since 2025

Bronze League

374 points
實現雲端協作與生產力工作流 Earned Jun 11, 2026 EDT
使用 Apps Script 整合 BigQuery 資料與 Google Workspace Earned Jun 11, 2026 EDT
Work Meets Play: Cloud Canvas Earned Jun 10, 2026 EDT
Google Cloud Compute 基本操作 Earned May 12, 2026 EDT
Arcade Base Camp May 2026 Earned May 12, 2026 EDT
在 Google Cloud 使用機器學習 API Earned May 7, 2026 EDT
設定 Google Cloud 網路 Earned May 7, 2026 EDT
Skill Up Summer Earned May 7, 2026 EDT

完成「實現雲端協作與生產力工作流」課程,即可獲得入門級技能徽章。本課程將介紹 Google 的協作平台, 帶您瞭解如何使用 Gmail、日曆、Meet、雲端硬碟、試算表和 AppSheet。

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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。

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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.

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完成「Google Cloud Compute 基本操作」任務, 學習如何在 Compute Engine 中使用虛擬機器 (VM)、永久磁碟 和網路伺服器,即可獲得技能徽章。

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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「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。

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完成「設定 Google Cloud 網路」課程,即可獲得技能徽章。 您將瞭解如何在 Google Cloud Platform 執行基本的網路工作,包括建立自訂網路、新增子網路防火牆規則,還有建立 VM 並測試 VM 之間的通訊延遲。

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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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