Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
Earned Sep 15, 2025 EDT
使用 Gemini：端對端 SDLC
Earned Feb 2, 2025 EST
使用 Gemini：應用程式開發人員
Earned Feb 2, 2025 EST
Google Cloud 的 AI 和機器學習服務簡介
Earned Jan 24, 2025 EST
Professional Machine Learning Engineer Study Guide
Earned Jan 6, 2025 EST
GenAI Search and Conversation
Earned Jul 20, 2024 EDT
使用 Firebase 開發無伺服器應用程式
Earned Jun 1, 2024 EDT
Cloud Hero DevOps Skills
Earned Jul 20, 2023 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned May 9, 2023 EDT
使用 Firebase 開發無伺服器應用程式
Earned May 4, 2023 EDT
運用 Cloud Run 開發無伺服器應用程式
Earned May 3, 2023 EDT
開始使用 Google Kubernetes Engine
Earned Apr 2, 2023 EDT
Application Development with Cloud Run
Earned Mar 24, 2023 EDT
App Deployment, Debugging, and Performance
Earned Mar 17, 2023 EDT
Securing and Integrating Components of your Application
Earned Mar 11, 2023 EST
Getting Started With Application Development
Earned Nov 6, 2022 EST
Google Cloud 基礎知識：核心基礎架構
Earned Oct 31, 2022 EDT
In this course, you’ll learn to use the Google Agent Development Kit to build complex, multi-agent systems. You will build agents equipped with tools, and connect them with parent-child relationships and flows to define how they interact. You’ll run your agents locally and deploy them to Vertex AI Agent Engine to run as a managed agentic flow, with infrastructure decisions and resource scaling handled by Agent Engine.
Please note these labs are based off a pre-released version of this product. There may be some lag on these labs as we provide maintenance updates.
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助您透過 Google Cloud 使用 Google 產品和服務，開發、測試、部署及管理應用程式。有了 Gemini 的協助，您會學到如何開發和建構網頁應用程式、修正應用程式中的錯誤、開發測試及查詢資料。在實作研究室中，您也會體驗到 Gemini 如何改良軟體開發生命週期 (SDLC)。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助開發人員透過 Google Cloud 建構應用程式。您將瞭解如何透過提示讓 Gemini 為您解釋程式碼內容、推薦 Google Cloud 服務，以及生成應用程式的程式碼。在實作研究室中，您也會體驗到 Gemini 如何改良應用程式的開發工作流程。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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本課程介紹 Google Cloud 中的 AI 和機器學習 (ML) 服務。這些服務可建構預測式和生成式 AI 專案。我們將帶您探索「從資料到 AI」生命週期中適用的技術、產品和工具，包括 AI 基礎、開發選項及解決方案。課程目的是藉由生動的學習體驗與實作練習，增進數據資料學家、AI 開發人員和機器學習工程師的技能與知識。
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This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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Welcome Gamers! Test your skills, all while having fun!
You will compete to see who can finish the game with the highest score.
Earn the points by completing the steps in the lab.... and get bonus points
for speed!
Be sure to click "End" when you're done with each lab to get the maximum points.
All players will be awarded the game badge.
Welcome Gamers! Learn to navigate that iterative journey efficiently and effectively using Google Cloud's operations tools!, all while having fun! Deploy a Kubernetes cluster along with a service using Terraform. You will compete to see who can finish the game with the highest score. Earn the points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with each lab to get the maximum points. All players will be awarded the game badge.
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。
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歡迎參加「開始使用 Google Kubernetes Engine」課程。Kubernetes 是位於應用程式和硬體基礎架構之間的軟體層。如果您對這項技術感興趣，這堂課程可以滿足您的需求。有了 Google Kubernetes Engine，您就能在 Google Cloud 中以代管服務的形式使用 Kubernetes。
本課程的目標在於介紹 Google Kubernetes Engine (常簡稱為 GKE) 的基本概念，以及如何將應用程式容器化，以便在 Google Cloud 中執行。課程首先會初步介紹 Google Cloud，隨後簡介容器、Kubernetes、Kubernetes 架構和 Kubernetes 作業。
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This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to on Google Cloud using Cloud Run.design, implement, deploy, secure, manage, and scale applications
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways. Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer. This is the second course of the Developing Applications with Google Cloud series. After completing this course, enroll in the App Deployment, Debugging, and Performance course.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
This is the first course of the Developing Applications with Google Cloud series. After completing this course, enroll in the Securing and Integrating Components of your Application course.
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「Google Cloud 基礎知識：核心基礎架構」介紹了在使用 Google Cloud 時會遇到的重要概念和術語。本課程會透過影片和實作實驗室，介紹並比較 Google Cloud 的多種運算和儲存服務，同時提供重要的資源和政策管理工具。
Deploy Multi-Agent Systems with Agent Development Kit (ADK) and Agent Engine
Earned Sep 15, 2025 EDT
使用 Gemini：端對端 SDLC
Earned Feb 2, 2025 EST
使用 Gemini：應用程式開發人員
Earned Feb 2, 2025 EST
Google Cloud 的 AI 和機器學習服務簡介
Earned Jan 24, 2025 EST
Professional Machine Learning Engineer Study Guide
Earned Jan 6, 2025 EST
GenAI Search and Conversation
Earned Jul 20, 2024 EDT
使用 Firebase 開發無伺服器應用程式
Earned Jun 1, 2024 EDT
Cloud Hero DevOps Skills
Earned Jul 20, 2023 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned May 9, 2023 EDT
使用 Firebase 開發無伺服器應用程式
Earned May 4, 2023 EDT
運用 Cloud Run 開發無伺服器應用程式
Earned May 3, 2023 EDT
開始使用 Google Kubernetes Engine
Earned Apr 2, 2023 EDT
Application Development with Cloud Run
Earned Mar 24, 2023 EDT
App Deployment, Debugging, and Performance
Earned Mar 17, 2023 EDT
Securing and Integrating Components of your Application
Earned Mar 11, 2023 EST
Getting Started With Application Development
Earned Nov 6, 2022 EST
Google Cloud 基礎知識：核心基礎架構
Earned Oct 31, 2022 EDT