Earn a skill badge by completing the Get Started with Cloud Storage skill badge course, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket.
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Earn a Introductory skill badge by completing the Cloud Run functions: 3 Ways course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.
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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.
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This skill badge course aims to unlock the power of data visualization and business intelligence reporting with Looker, and gain hands-on experience through labs.
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完成「Cloud Speech API：3 種應用」課程，瞭解如何使用語音相關 API 工具合成及轉錄語音， 即可獲得入門級技能徽章。
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完成「在 Google Cloud 使用 Terraform 建構基礎架構」技能徽章中階課程， 即可證明自己具備下列知識與技能：使用 Terraform 的基礎架構即程式碼 (IaC) 原則、運用 Terraform 設定佈建及管理 Google Cloud 資源、有效管理狀態 (本機和遠端)，以及將 Terraform 程式碼模組化，以利重複使用和管理。
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Earn a skill badge by completing the App Engine`:` 3 ways course, where you learn how to use App Engine with Python, Go, and PHP.
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Complete the introductory Secure BigLake Data skill badge course to demonstrate skills with IAM, BigQuery, BigLake, and Data Catalog within Dataplex to create and secure BigLake tables.
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Complete the introductory Get Started with Sensitive Data Protection skill badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.
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This challenge lab tests your skills and knowledge from the labs in the Monitor and Manage Google Cloud Resources quest. You should be familiar with the content of labs before attempting this lab.
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Earn a skill badge by completing the Get Started with Eventarc skill badge course, where you use Eventarc to create event triggers for different resources including Pub/Sub topics and Cloud Storage buckets.
完成 在 Google Cloud 實作 Cloud 安全防護措施：基礎知識 技能徽章中階課程， 即可證明您具備下列技能：運用 Identity and Access Management (IAM) 建立及指派角色、 建立及管理服務帳戶、啟用虛擬私有雲 (VPC) 網路中的私人連線、 運用 Identity-Aware Proxy 限制應用程式存取權、 運用 Cloud Key Management Service (KMS) 管理金鑰和已加密資料，以及建立私人 Kubernetes 叢集。 「技能徽章」是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品和服務方面的精通程度， 代表您已通過測驗，能在互動式實作環境中應用相關知識。完成 本課程及結業評量挑戰研究室，即可取得技能徽章 並與親友分享。
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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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This workload aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from Snowflake to BigQuery. Sample data will be used during the migration. Learners will complete several labs that focus on the process of transferring schema, data and related processes to corresponding Google Cloud products.There will be one or more challenge labs that will test the learners' understanding of the topics. "This learning path aims to upskill Google Cloud partners to perform specific tasks associated with priority workloads. Learners will perform the tasks of migrating data from Snowflake to BigQuery.
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。 「技能徽章」是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品與服務方面的精熟技能， 並代表您已通過測驗， 能在互動式實作環境中應用相關知識。完成這個課程及結業評量挑戰實驗室， 即可取得數位徽章並與他人分享。
Earn a skill badge by completing the Use APIs to Work with Cloud Storage quest, where you learn how APIs work in Google, and how to use the Cloud Storage API specifically. 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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Earn the introductory skill badge by completing the Monitoring in Google Cloud course, where you learn how to use Cloud Monitoring tools.
本課程會介紹 Vertex AI Studio。您可以運用這項工具和生成式 AI 模型互動、根據商業構想設計原型，並投入到正式環境。透過身歷其境的應用實例、有趣的課程及實作實驗室，您將能探索從提示到正式環境的生命週期，同時學習如何將 Vertex AI Studio 運用在多模態版 Gemini 應用程式、提示設計、提示工程和模型調整。這個課程的目標是讓您能運用 Vertex AI Studio，在專案中發揮生成式 AI 的潛能。
This content is deprecated. Please see the latest version of the course, here.
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本課程將介紹擴散模型，這是一種機器學習模型，近期在圖像生成領域展現亮眼潛力。概念源自物理學，尤其深受熱力學影響。過去幾年來，在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中，擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論，並說明如何在 Vertex AI 上訓練和部署這些模型。
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隨著企業持續擴大使用人工智慧和機器學習，以負責任的方式發展相關技術也日益重要。對許多企業來說，談論負責任的 AI 技術可能不難，如何付諸實行才是真正的挑戰。如要瞭解如何在機構中導入負責任的 AI 技術，本課程絕對能助您一臂之力。
您可以從中瞭解 Google Cloud 目前採取的策略、最佳做法和經驗談，協助貴機構奠定良好基礎，實踐負責任的 AI 技術。
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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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這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
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這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
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這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
在 Google Cloud 部署 Kubernetes 應用程式
Earned Dec 31, 2024 EST
Get Started with Cloud Storage
Earned Dec 30, 2024 EST
Cloud Run Functions: 3 Ways
Earned Dec 30, 2024 EST
Analyze Images with the Cloud Vision API
Earned Dec 30, 2024 EST
Visualize Your Data in Looker
Earned Dec 30, 2024 EST
Cloud Speech API：3 種應用
Earned Dec 30, 2024 EST
在 Google Cloud 使用 Terraform 建構基礎架構
Earned Dec 30, 2024 EST
App Engine: 3 Ways
Earned Dec 27, 2024 EST
Secure BigLake Data
Earned Dec 27, 2024 EST
Get Started with Sensitive Data Protection
Earned Dec 27, 2024 EST
Monitor and Manage Google Cloud Resources
Earned Dec 27, 2024 EST
Get Started with Eventarc
Earned Dec 26, 2024 EST
開始使用 Dataplex
Earned Dec 26, 2024 EST
在 Google Cloud 實作 Cloud 安全防護措施：基礎知識
Earned Dec 26, 2024 EST
DEPRECATED Networking Fundamentals on Google Cloud
Earned Dec 25, 2024 EST
Snowflake to BigQuery Migration
Earned Dec 25, 2024 EST
在 Compute Engine 實作負載平衡功能
Earned Dec 25, 2024 EST
設定 Google Cloud 網路
Earned Dec 24, 2024 EST
在 Google Cloud 儲存、處理與管理資料 - 控制台
Earned Dec 24, 2024 EST
Use APIs to Work with Cloud Storage
Earned Dec 24, 2024 EST
Monitoring in Google Cloud
Earned Dec 22, 2024 EST
Google Cloud Compute 基本操作
Earned Dec 21, 2024 EST
Vertex AI Studio 簡介
Earned Jan 1, 2024 EST
建立圖像說明生成模型
Earned Jan 1, 2024 EST
Transformer 和 BERT 模型
Earned Jan 1, 2024 EST
編碼器-解碼器架構
Earned Jan 1, 2024 EST
注意力機制
Earned Dec 31, 2023 EST
Generative AI Explorer : Vertex AI
Earned Dec 31, 2023 EST
圖像生成簡介
Earned Dec 31, 2023 EST
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Dec 31, 2023 EST
Generative AI Fundamentals
Earned Dec 31, 2023 EST
負責任的 AI 技術簡介
Earned Dec 31, 2023 EST
大型語言模型簡介
Earned Dec 31, 2023 EST
生成式 AI 簡介
Earned Dec 31, 2023 EST