Vertex AI is now Gemini Enterprise Agent Platform! We are currently updating our content to reflect this change. Please bear with us if you encounter naming inconsistencies during this transition.
Ihor Chuvakov
Member since 2025
Diamond League
5418 points
Deploy an Agent with Agent Development Kit (ADK)
Earned Jan 8, 2026 EST
運用 Agent Development Kit (ADK) 與 Agent Engine 部署多代理系統
Earned Jan 7, 2026 EST
開始使用 Google Kubernetes Engine
Earned Dec 15, 2025 EST
運用 Cloud Run 開發無伺服器應用程式
Earned Dec 11, 2025 EST
App Deployment, Debugging, and Performance
Earned Dec 9, 2025 EST
Developing Applications with Google Cloud: Foundations
Earned Dec 1, 2025 EST
Google Cloud 基礎知識：核心基礎架構
Earned Nov 15, 2025 EST
In this challenge lab, you will demonstrate your ability to author agents using Agent Development Kit (ADK), deploy those agents to Agent Engine, and use them from a web app. Complete the challenge lab to earn a Google Cloud skill badge.
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本課程說明如何使用 Google Agent Development Kit 建構複雜的多代理系統。您將建構配備工具的虛擬服務專員，並透過從屬關係和流程定義互動方式。您將在本機執行代理，並部署至 Vertex AI Agent Engine，透過代管代理流程執行；Agent Engine 則處理基礎架構決策和資源調度作業。
請注意，這些實驗室是根據這項產品的預先發布版製成。我們會進行維護更新，因此這些研究室將可能出現延遲。
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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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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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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, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.
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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 an Agent with Agent Development Kit (ADK)
Earned Jan 8, 2026 EST
運用 Agent Development Kit (ADK) 與 Agent Engine 部署多代理系統
Earned Jan 7, 2026 EST
開始使用 Google Kubernetes Engine
Earned Dec 15, 2025 EST
運用 Cloud Run 開發無伺服器應用程式
Earned Dec 11, 2025 EST
App Deployment, Debugging, and Performance
Earned Dec 9, 2025 EST
Developing Applications with Google Cloud: Foundations
Earned Dec 1, 2025 EST
Google Cloud 基礎知識：核心基礎架構
Earned Nov 15, 2025 EST