On-demand activities
Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 980 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!
-
实验 精选 使用資料庫移轉服務,遷移至 PostgreSQL 適用的 Cloud SQL
在本研究室中,您會透過資料庫移轉服務,使用虛擬私有雲對等互連建立連線並執行連續工作,將虛擬機器中執行的獨立 PostgreSQL 資料庫,遷移至 PostgreSQL 適用的 Cloud SQL。
-
实验 精选 Working with Cloud Dataprep on Google Cloud
Cloud Dataprep is Google's self-service data preparation tool. In this lab, you will learn how to use Cloud Dataprep to clean and enrich multiple datasets using a mock use case scenario of customer info and purchase history.
-
实验 精选 Leverage the Autoscaler Tool for Cloud Spanner to Achieve Workload Elasticity
In this lab you'll deploy the open-source Autoscaler tool for Cloud Spanner, a companion tool to Cloud Spanner, in the per-project configuration where the autoscaler tools are located in the same project as the Cloud Spanner instance being autoscaled.
-
实验 精选 Creating a Streaming Data Pipeline With Apache Kafka
In this lab, you create a streaming data pipeline with Kafka providing you a hands-on look at the Kafka Streams API. You will run a Java application that uses the Kafka Streams library by showcasing a simple end-to-end data pipeline powered by Apache.
-
实验 精选 Build an LLM and RAG-based Chat Application using AlloyDB and LangChain
Learn how to create an interactive application within a deployed environment.
-
实验 精选 Predict Baby Weight with TensorFlow on Vertex AI
In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.
-
实验 精选 Creating Cross-region Load Balancing
This lab demonstrates how to create an HTTP(S) load balanced that forwards traffic to instances in two different regions.
-
实验 精选 Identify vulnerabilities and remediation techniques
Use vulnerability scans to identify security issues and remediate them.