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。
了解详情
完成「透過 Apigee X 開發及保護 API」技能徽章課程，即可獲得技能徽章。您將學會如何翻新 API； 使用服務帳戶和 Google 驗證，從 Apigee API Proxy 安全存取後端服務； 運用 API 產品和開發人員入口網站將 API 產品化； 使用 API 金鑰、OAuth、私有變數和錯誤處理等功能保護 API； 整合 Apigee 與 Google Cloud 服務 (例如 Pub/Sub 和 Cloud Logging)； 呼叫 Google Cloud API，例如 Natural Language API 和 Geocoding API。
本課程適合各程度的開發人員，主要介紹 Gemini Code Assist 的核心功能與特色。這項 Google Cloud AI 輔助協作工具是應用程式開發的好幫手，提供程式碼智慧建議、自動補全、即時偵錯和重構輔助等實用功能。您將瞭解 Gemini Code Assist 如何大幅提升工作效率和程式碼品質，並助您省下寶貴時間，專心處理較具效益且更有趣的工作。
了解详情
這個簡短的課程會說明如何在 Google Cloud 整合應用程式與 Gemini 1.0 Pro 模型，讓您瞭解 Gemini API 及其生成式 AI 模型，並學習如何透過程式碼存取 Gemini 1.0 Pro 和 Gemini 1.0 Pro Vision 模型。另外，您會在應用程式中使用文字、圖片和影片提示，測試模型的功能。
了解详情
This course introduces the Cloud Run serverless platform for running applications.
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle.
You learn about service identities, how to control access to services, and how to develop and test your
application locally before deploying it to Cloud Run. The course also teaches you how to integrate
with other services on Google Cloud so you can build full-featured applications.
了解详情
In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.
了解详情
In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
了解详情
This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.
了解详情
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.
了解详情
In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.
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。
了解详情
完成「Google Cloud 監控工具」技能徽章入門課程， 即可證明您具備下列技能：使用 Cloud Monitoring 工具監控 Google Cloud 資源。
完成「管理 Google Cloud 中的 Kubernetes」技能徽章中階課程， 即可證明您具備下列技能：使用 kubectl 管理部署作業、 在 Google Kubernetes Engine (GKE) 監控應用程式與偵錯，以及運用技術持續推送軟體更新。
了解详情
In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
了解详情
While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
了解详情
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
了解详情
This course helps learners create a study plan for the PDE (Professional Data 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.
了解详情
Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.
運用 Cloud Run 開發無伺服器應用程式
Earned Mar 25, 2026 EDT
透過 Apigee X 開發及保護 API
Earned Mar 11, 2026 EDT
運用 Gemini CLI 加速開發應用程式
Earned Mar 7, 2026 EST
運用 Gemini Code Assist 簡化應用程式開發作業
Earned Apr 1, 2025 EDT
在 Google Cloud 整合應用程式與 Gemini 1.0 Pro
Earned Apr 1, 2025 EDT
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned Mar 31, 2025 EDT
Developing Containerized Applications on Google Cloud
Earned Mar 31, 2025 EDT
Developing Applications with Cloud Run Functions on Google Cloud
Earned Mar 30, 2025 EDT
Service Orchestration and Choreography on Google Cloud
Earned Mar 27, 2025 EDT
Developing Applications with Google Cloud: Foundations
Earned Mar 25, 2025 EDT
Build Streaming Data Pipelines on Google Cloud
Earned Apr 2, 2024 EDT
使用 Cloud Run 函式建構無伺服器應用程式
Earned Mar 31, 2024 EDT
Google Cloud 監控工具
Earned Mar 31, 2024 EDT
使用 AppSheet 建構應用程式
Earned Mar 31, 2024 EDT
使用 Google API 分析語音和語言
Earned Mar 31, 2024 EDT
開始使用 Pub/Sub
Earned Mar 31, 2024 EDT
在 Cloud Storage 建立串流資料湖泊
Earned Mar 31, 2024 EDT
開始使用 Cloud Storage
Earned Mar 31, 2024 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Mar 30, 2024 EDT
從 BigQuery 資料取得深入分析結果
Earned Mar 30, 2024 EDT
開始使用 API Gateway
Earned Mar 30, 2024 EDT
Google Cloud Compute 基本操作
Earned Mar 30, 2024 EDT
搭配使用 API 和 Cloud Storage
Earned Mar 30, 2024 EDT
為 Looker 資訊主頁和報表準備資料
Earned Mar 29, 2024 EDT
在 Google Cloud 設定應用程式開發環境
Earned Mar 28, 2024 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Mar 28, 2024 EDT
管理 Google Cloud 中的 Kubernetes
Earned Mar 28, 2024 EDT
Build Batch Data Pipelines on Google Cloud
Earned Nov 26, 2023 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Nov 19, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Nov 18, 2023 EST
Preparing for your Professional Data Engineer Journey
Earned Nov 16, 2023 EST
DEPRECATED Exploring APIs
Earned Nov 12, 2023 EST
以串流方式將分析資料傳入 BigQuery
Earned Nov 1, 2023 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Nov 1, 2023 EDT
監控及管理 Google Cloud 資源
Earned Nov 1, 2023 EDT
在 Google Cloud 儲存、處理與管理資料 - 指令列
Earned Nov 1, 2023 EDT
開始使用 Dataplex
Earned Nov 1, 2023 EDT
開始使用 Looker
Earned Oct 31, 2023 EDT
建立 Google Cloud 網路
Earned Oct 31, 2023 EDT
透過 BigQuery 建構資料倉儲
Earned Oct 31, 2023 EDT
從 BigQuery 資料取得深入分析結果
Earned Oct 31, 2023 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Oct 30, 2023 EDT
在 Google Cloud 設定應用程式開發環境
Earned Oct 27, 2023 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Oct 24, 2023 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Oct 7, 2023 EDT