Extend Gemini with controlled generation and Tool use
Earned Nov 24, 2025 EST
Analyze patterns in conversational data with Customer Experience Insights
Earned Nov 22, 2025 EST
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned Nov 15, 2025 EST
Vertex AI Search and Gemini Enterprise Analytics
Earned Nov 15, 2025 EST
Vertex AI Search and Gemini Enterprise UI Configurations
Earned Nov 15, 2025 EST
Build search and recommendations applications with AI Applications
Earned Nov 15, 2025 EST
Create Data Stores for Gen AI Applications
Earned Nov 15, 2025 EST
Create and maintain Vertex AI Search data stores
Earned Nov 8, 2025 EST
為 Looker 資訊主頁和報表準備資料
Earned Dec 27, 2024 EST
設定 Google Cloud 網路
Earned Dec 23, 2024 EST
在連結試算表中分析 BigQuery 資料
Earned Dec 22, 2024 EST
在 BigQuery 執行預測資料分析
Earned Dec 21, 2024 EST
使用資料庫遷移服務將 MySQL 資料遷移至 Cloud SQL
Earned Dec 20, 2024 EST
開始使用 Eventarc
Earned Dec 18, 2024 EST
以串流方式將分析資料傳入 BigQuery
Earned Dec 17, 2024 EST
使用 Cloud Vision API 分析圖片
Earned Dec 16, 2024 EST
為 Google Cloud 設定服務帳戶和 IAM 角色
Earned Dec 16, 2024 EST
開始使用 Dataplex
Earned Dec 4, 2024 EST
建立圖像說明生成模型
Earned Nov 8, 2024 EST
圖像生成簡介
Earned Nov 8, 2024 EST
Transformer 和 BERT 模型
Earned Nov 8, 2024 EST
編碼器-解碼器架構
Earned Nov 7, 2024 EST
注意力機制
Earned Nov 6, 2024 EST
Vertex AI Studio 簡介
Earned Nov 5, 2024 EST
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Nov 5, 2024 EST
Generative AI for Business Leaders
Earned Nov 5, 2024 EST
使用 Cloud Run 函式建構無伺服器應用程式
Earned Nov 4, 2024 EST
在 Compute Engine 導入 Cloud Load Balancing
Earned Nov 4, 2024 EST
從 BigQuery 資料取得深入分析結果
Earned Nov 4, 2024 EST
搭配使用 API 和 Cloud Storage
Earned Nov 2, 2024 EDT
App Engine：3 種應用
Earned Oct 31, 2024 EDT
Google Cloud Compute 基本操作
Earned Oct 31, 2024 EDT
使用 AppSheet 建構應用程式
Earned Oct 31, 2024 EDT
運用 Cloud Run 開發無伺服器應用程式
Earned Oct 26, 2024 EDT
開始使用 Cloud Storage
Earned Oct 23, 2024 EDT
開始使用 Pub/Sub
Earned Oct 23, 2024 EDT
透過 Google Cloud 建構網站
Earned Oct 23, 2024 EDT
Modernize Java Applications
Earned Oct 19, 2024 EDT
Modernization of Java Applications for Google Cloud
Earned Oct 19, 2024 EDT
Build Custom Processors with Document AI
Earned Oct 19, 2024 EDT
Document AI: Building a Custom Document Extractor
Earned Oct 17, 2024 EDT
Text Prompt Engineering Techniques
Earned Sep 23, 2024 EDT
生成式 AI 簡介
Earned Sep 20, 2024 EDT
負責任的 AI 技術簡介
Earned Sep 20, 2024 EDT
大型語言模型簡介
Earned Sep 20, 2024 EDT
Generative AI Fundamentals
Earned Sep 20, 2024 EDT
Complete the Extend Gemini with controlled generation and Tool use skill badge to demonstrate your proficiency in connecting models to external tools and APIs. This allows models to augment their knowledge, extend their capabilities and interact with external systems to take actions such as sending an email.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!"
了解详情
Complete the Analyze patterns in conversational data with Customer Experience Insights skill badge to demonstrate your proficiency in analysing customer conversations with Cx Insights. After completing this challenge, you will be ready to deploy Cx Insights to improve customer service performance, and create better customer experiences.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
了解详情
If you've worked with data, you know that some data is more reliable than other data.
In this course, you'll learn a variety of techniques to present the most reliable or useful results to your users. Create serving controls to boost or bury search results. Rank search results to ensure that each query is answered by the most relevant data. If needed, tune your search engine. Learn to measure search results to ensure your search applications deliver the best possible results to each user.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
了解详情
AI Applications provides built-in analytics for your Vertex AI Search and Gemini Enterprise apps. Learn what metrics are tracked and how to view them in this course.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
了解详情
Initial deployment of Vertex AI Search and Gemini Enterprise apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience.
In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Gemini Enterprise apps.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
了解详情
Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
了解详情
Data stores represent a simple way to make content available to many types of generative AI applications, including search applications, recommendations engines, Gemini Enterprise apps, Agent Development Kit agents, and apps built with Google Gen AI or LangChain SDKs. Connect data from many sources include Cloud Storage, Google Drive, chat apps, mail apps, ticketing systems, third-party file storage providers, Salesforce, and many more.
了解详情
Complete the Create and maintain Vertex AI Search data stores skill badge to demonstrate your proficiency in building various types of data stores used in Vertex AI Search applications.
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 the assessment challenge lab, to receive a skill badge that you can share with your network.
When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!
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。
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。
了解详情
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。
了解详情
A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
了解详情
若想獲得入門技能徽章，請完成「使用 Cloud Run 函式建構無伺服器應用程式」課程， 瞭解如何在 Google Cloud 控制台和指令列中 使用 Cloud Run functions。
完成 運用 Cloud Run 開發無伺服器應用程式 技能徽章中階課程， 即可證明您具備下列技能：整合 Cloud Run 和 Cloud Storage 以管理資料、 使用 Cloud Run 和 Pub/Sub 架構可復原的非同步系統、 使用 Cloud Run 建構 REST API 閘道，以及在 Cloud Run 建構及部署服務。
完成透過 Google Cloud 建構網站技能徽章課程，即可獲得入門級技能徽章。 本課程以 Get Cooking in Cloud 系列影片為基礎， 涵蓋以下主題：在 Cloud Run 部署網站在 Compute Engine 託管網頁應用程式在 Google Kubernetes Engine 建立、 部署及擴充網站使用 Cloud Build 將單體式應用程式遷移至微服務架構
了解详情
This skill badge course is designed to offer hands-on experience through labs, guiding participants in gaining practical expertise in modernizing Java applications on the Google Cloud.
了解详情
This course aims to upskill Google Cloud partners to perform specific tasks in rehosting applications from on-premise to Google Cloud. It also aims to re-platform applications to run in GKE. Learners will perform the tasks of Migrating MySQL, Angular, and Java applications from their on-premise machines to Google Cloud VM instances. Sample code will be used during the migration.
了解详情
This skill badge course is designed to offer hands-on experience through labs, enabling participants to master Document AI for document processing and extraction tasks. By the end of the course, participants will be proficient in creating and testing Document AI processors, customizing document extraction using Document AI Workbench, and building custom processors to tackle real-world document processing challenges.
了解详情
This workload aims to upskill Google Cloud partners to perform specific tasks associated with building a Custom Doc Extractor using the Google Cloud AI solution. The following will be addressed:
Service: Document AI
Task: Extract fields
Processors: Custom Document Extractor and Document Splitter
Prediction: Using Endpoint to programmatically extract fields
了解详情
Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
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.
Extend Gemini with controlled generation and Tool use
Earned Nov 24, 2025 EST
Analyze patterns in conversational data with Customer Experience Insights
Earned Nov 22, 2025 EST
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned Nov 15, 2025 EST
Vertex AI Search and Gemini Enterprise Analytics
Earned Nov 15, 2025 EST
Vertex AI Search and Gemini Enterprise UI Configurations
Earned Nov 15, 2025 EST
Build search and recommendations applications with AI Applications
Earned Nov 15, 2025 EST
Create Data Stores for Gen AI Applications
Earned Nov 15, 2025 EST
Create and maintain Vertex AI Search data stores
Earned Nov 8, 2025 EST
為 Looker 資訊主頁和報表準備資料
Earned Dec 27, 2024 EST
設定 Google Cloud 網路
Earned Dec 23, 2024 EST
在連結試算表中分析 BigQuery 資料
Earned Dec 22, 2024 EST
在 BigQuery 執行預測資料分析
Earned Dec 21, 2024 EST
使用資料庫遷移服務將 MySQL 資料遷移至 Cloud SQL
Earned Dec 20, 2024 EST
開始使用 Eventarc
Earned Dec 18, 2024 EST
以串流方式將分析資料傳入 BigQuery
Earned Dec 17, 2024 EST
使用 Cloud Vision API 分析圖片
Earned Dec 16, 2024 EST
為 Google Cloud 設定服務帳戶和 IAM 角色
Earned Dec 16, 2024 EST
開始使用 Dataplex
Earned Dec 4, 2024 EST
建立圖像說明生成模型
Earned Nov 8, 2024 EST
圖像生成簡介
Earned Nov 8, 2024 EST
Transformer 和 BERT 模型
Earned Nov 8, 2024 EST
編碼器-解碼器架構
Earned Nov 7, 2024 EST
注意力機制
Earned Nov 6, 2024 EST
Vertex AI Studio 簡介
Earned Nov 5, 2024 EST
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Nov 5, 2024 EST
Generative AI for Business Leaders
Earned Nov 5, 2024 EST
使用 Cloud Run 函式建構無伺服器應用程式
Earned Nov 4, 2024 EST
在 Compute Engine 導入 Cloud Load Balancing
Earned Nov 4, 2024 EST
從 BigQuery 資料取得深入分析結果
Earned Nov 4, 2024 EST
搭配使用 API 和 Cloud Storage
Earned Nov 2, 2024 EDT
App Engine：3 種應用
Earned Oct 31, 2024 EDT
Google Cloud Compute 基本操作
Earned Oct 31, 2024 EDT
使用 AppSheet 建構應用程式
Earned Oct 31, 2024 EDT
運用 Cloud Run 開發無伺服器應用程式
Earned Oct 26, 2024 EDT
開始使用 Cloud Storage
Earned Oct 23, 2024 EDT
開始使用 Pub/Sub
Earned Oct 23, 2024 EDT
透過 Google Cloud 建構網站
Earned Oct 23, 2024 EDT
Modernize Java Applications
Earned Oct 19, 2024 EDT
Modernization of Java Applications for Google Cloud
Earned Oct 19, 2024 EDT
Build Custom Processors with Document AI
Earned Oct 19, 2024 EDT
Document AI: Building a Custom Document Extractor
Earned Oct 17, 2024 EDT
Text Prompt Engineering Techniques
Earned Sep 23, 2024 EDT
生成式 AI 簡介
Earned Sep 20, 2024 EDT
負責任的 AI 技術簡介
Earned Sep 20, 2024 EDT
大型語言模型簡介
Earned Sep 20, 2024 EDT
Generative AI Fundamentals
Earned Sep 20, 2024 EDT