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 Using Elastic Stack to Monitor Google Cloud
In this lab you will learn how to use the Elastic Stack to monitor Google Cloud Platform.
-
实验 精选 Google Calendar: Getting Started
Learn how to use Google Calendar to schedule meetings and events and get reminders about upcoming activities. You can also share your schedule with others and create multiple calendars that you and your team can use together.
-
实验 精选 Google Chat Bot - Apps Script
Learn how to create a simple Google Chat bot—"Attendance Bot"—using Google Apps Script. The bot integrates with Gmail to set a user's vacation responder and integrates with Calendar to put a meeting on the user's calendar.
-
实验 精选 Exploring the Lineage of Data with Cloud Data Fusion
This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.
-
实验 精选 Machine Learning with TensorFlow in Vertex AI
In this lab you will learn how to use Google Cloud Machine Learning and Tensorflow to develop and evaluate prediction models using machine learning.
-
实验 精选 Introduction to Dart
In this lab you will learn the basics of Dart. Understand how to work with variables, flow control and functions to start your journey with Dart.
-
实验 精选 Securing APIs with Apigee X
In this lab, you modify an API to require OAuth tokens for access. You use the SpikeArrest policy to limit the rate of API calls by application, and you use private variables and data masking to hide sensitive data from users who debug API traffic.
-
实验 精选 Publishing APIs with Apigee X
In this lab, you use API products to package your APIs, and create a developer portal so application developers can try your APIs and sign up to use them.
-
实验 精选 Build a Knowledge Based System with Vertex AI Vector Search, LangChain and Gemini
In this lab, you use Vertex AI Vector Search to index documents and create a knowledge base. The knowledge base is utilized to retrieve relevant search results to supply with a query submitted to a large language model (LLM), in this case, Gemini, as context. This technique is known as retrieval augmentation gener…