按照您自己的方式探索 Google Cloud 培训。
Google Cloud 提供 980 多项学习活动供您选择，我们设计的目录完整全面，充分考虑了您的需求。该目录包含各种可供您选择的活动形式，既有简短的单个实验，也有由视频、文档、实验和测验组成的多模块课程，您可以根据需求进行选择。我们的实验可为您提供实际云资源的临时凭据，以便您通过实际操作掌握 Google Cloud 知识。您可以跟踪、衡量和了解自己的 Google Cloud 学习进度，完成学习活动即可赢取徽章！
-
实验 精选 Migrating to AlloyDB from PostgreSQL Using Database Migration Service
In this lab, you migrate a stand-alone PostgreSQL database (running on a virtual machine) to AlloyDB for PostgreSQL using a continuous Database Migration Service job with VPC peering for connectivity.
-
实验 精选 Generative AI: Cloud Architect Revision
Arcade chatbot lab to learn about the Professional Cloud Architect
-
实验 精选 Build a dashboard using the Looker Enterprise UI
Explore in Looker Enterprise to do in-depth data analysis, integrate insights across different data sources, build actionable data-driven workflows, and create custom data applications to make critical business decisions.
-
实验 精选 Adding a Phone Gateway to a Virtual Agent
In this lab you will continue working on your Pigeon Travel virtual agent and add a phone gateway to allow users to call into your virtual agent.
-
实验 精选 Design Conversational Flows for your Agent
Contact Center AI can increase customer satisfaction and operational efficiency by improving call deflection rates, and achieve shorter handling, while making overall operations faster and more effective. In this lab, you'll learn how to use Dialogflow to create a conversational interface.
-
实验 精选 Protect Sensitive Data with Data Loss Prevention: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Protect Sensitive Data with Data Loss Prevention quest. You should be familiar with the content of labs before attempting this lab.
-
实验 精选 Cloud Operations for GKE
In this lab you will set up Monitoring and visualizing metrics from a Kubernetes Engine cluster
-
实验 精选 Getting Started with Redis and RediSearch
In this lab you will use Redis and RediSearch, an add-on module that enables full-text search and secondary indexing in Redis, to install and run a Redis instance, import example hashes, index them with RediSearch, and query them.