Srinivas Saggurthi
Member since 2026
Bronze League
170 points
Member since 2026
完成「使用 Knowledge Catalog 建構資料網格」技能徽章入門課程,即可證明您具備下列技能:使用 Knowledge Catalog 建構資料網格, 以利在 Google Cloud 維護資料安全性,並協助治理和探索資料。您將練習並測試自己的技能,包括在 Knowledge Catalog 為資產加上標記、指派 IAM 角色,以及評估資料品質。
Working with data and applications requires the right balance of governance and agility. In this voyage, you’ll use Dataplex to organize, secure, and assess data quality while exploring concepts like data mesh. Alongside, you’ll get hands-on with Firebase—building serverless apps, working with Firestore, and managing data in real time—bringing together modern data management and application development.
完成「在 Google App Engine 上部署及管理應用程式」課程,即可獲得技能徽章。本課程將說明如何搭配 Python、Go 和 PHP 使用 App Engine。
Building and running applications on Google Cloud can take many forms—and this adventure brings them together. Get hands-on with App Engine, Cloud Run, Kubernetes Engine, and Compute Engine as you deploy applications, manage scaling, and explore modern architectures, including the shift from monolithic to microservices.
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。
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。
Securing applications and streamlining delivery go hand in hand in modern cloud environments. In this trail, you’ll work with tools like Cloud KMS, Identity-Aware Proxy, and service accounts to manage access and protect resources. You’ll also explore private Kubernetes clusters, artifact management, and build CI/CD pipelines with Cloud Build—bringing together the essentials of cloud security and DevOps in practice.
A season to build, experiment, and grow—one skill at a time. You’ll start with the fundamentals of networking, creating the foundation that connects everything together. From there, you’ll step into automation and application development using Cloud Scheduler, App Engine, and machine learning APIs. By the end, you’ll have a more confident, hands-on understanding of how modern applications are built, connected, and run on the cloud.