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 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…