Santosh Chaudhary
成为会员时间:2024
白银联赛
12115 积分
成为会员时间:2024
Earn the introductory skill badge by completing the Monitoring in Google Cloud course, where you learn how to use Cloud Monitoring tools.
完成「Google Cloud Compute 基本操作」任務, 學習如何在 Compute Engine 中使用虛擬機器 (VM)、永久磁碟 和網路伺服器,即可獲得技能徽章。 「技能徽章」是 Google Cloud 核發的獨家數位徽章, 用於肯定您在 Google Cloud 產品與服務方面的精熟技能, 並代表您已通過測驗, 能在互動式實作環境中應用相關知識。完成這個技能徽章課程和結業評量挑戰實驗室之後, 即可取得數位徽章並與他人分享。
完成「Cloud Speech API:3 種應用」課程,瞭解如何使用語音相關 API 工具合成及轉錄語音, 即可獲得入門級技能徽章。
Earn a skill badge by completing the App Engine`:` 3 ways course, where you learn how to use App Engine with Python, Go, and PHP.
Earn a Introductory skill badge by completing the Cloud Run functions: 3 Ways course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.
Earn an introductory skill badge by completing the Get Started with Google Workspace Tools course, where you will get introduced to Google's collaborative platform and learn to use Gmail, Calendar, Meet, Drive, Sheets, and AppSheet.
完成「開始使用 Dataplex」技能徽章入門課程, 即可證明您具備下列技能:建立 Dataplex 資產、建立切面類型、 並將切面套用至 Dataplex 中的項目。
Earn a skill badge by completing the Get Started with Looker skill badge course, where you learn how to analyze, visualize, and curate data using Looker Studio and Looker.
完成「開始使用 API Gateway」任務,即可獲得技能徽章。 瞭解如何使用 API Gateway,透過全代管閘道部署、保護及管理 API 。 技能徽章是 Google Cloud 核發的 獨家數位徽章,用於肯定您對於 Google Cloud 產品與服務的精通程度。 獲得技能徽章代表您已通過測驗,能在互動式實作環境 應用相關知識。完成這個技能徽章課程和結業評量挑戰實驗室之後, 即可取得數位徽章並與他人分享。
Earn a skill badge by completing the Get Started with Cloud Storage skill badge course, where you learn how to create a Cloud Storage bucket, how to use the Cloud Storage command line, and how to use Bucket Lock to protect objects in a bucket.
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。
Your next Google Cloud Credential is within reach! Complete a series of hands-on labs (adventures!) that will help you build key Google Cloud Skills. You’ll cover topics like Compute, Storage, Networking, IAM, Kubernetes, BigQuery, and more, working through real-world scenarios to boost your understanding. No prior experience required!