成为会员时间：2025
在整个生态系统中发现并保护敏感数据
Earned Jan 20, 2026 EST
Build Streaming Data Pipelines on Google Cloud
Earned Jan 2, 2026 EST
Build Batch Data Pipelines on Google Cloud
Earned Jan 1, 2026 EST
Understanding Cloud Spanner
Earned Dec 30, 2025 EST
Data Warehousing for Partners: Optimize in BigQuery
Earned Dec 30, 2025 EST
Google Cloud 云计算基础课程：云计算基础知识
Earned Dec 10, 2025 EST
生成式 AI 简介
Earned Nov 27, 2025 EST
完成在整个生态系统中发现并保护敏感数据 这一中级技能徽章课程，展示以下方面的技能：使用 Sensitive Data Protection 服务 （包括 Cloud Data Loss Prevention [DLP] API）发现、检查和隐去 Google Cloud 中的敏感数据，并对敏感数据进行去标识化处理。 Google Cloud 生态系统包括 Cloud Storage 文件、BigQuery 数据和生成式 AI 模型回答。
In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.
In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting. Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
In this course you will learn about Cloud Spanner. You will get an introduction to Cloud Spanner, contrasting it with other Database products to understand when and how to use Spanner to solve your relational database needs at scale. You will learn how to create and manage Spanner databases using various tools on Google Cloud, learn to optimize relational schemas with Spanner’s distributed database model in mind, interact with your Spanner databases using the Spanner APIs, integrate Spanner with your applications, and learn how to use other Google tools for administering Spanner databases and managing your data.
Welcome to Optimize in BigQuery, where we map Enterprise Data Warehouse concepts and components to BigQuery and Google data services with a focus on optimization.
Google Cloud 云计算基础课程面向云计算零基础或经验较少的人群。本课程概述了云计算基础知识、大数据和机器学习的核心概念，以及 Google Cloud 在其中的定位与应用方式。 完成本系列课程后，学员将能够清晰阐述这些概念，并掌握部分实操技能。 课程应按以下顺序完成： 1. Google Cloud 云计算基础课程：云计算基础知识 2. Google Cloud 云计算基础课程：Google Cloud 中的基础设施 3. Google Cloud 云计算基础课程：Google Cloud 中的网络服务和安全性 4. Google Cloud 云计算基础课程：Google Cloud 中的数据、机器学习和 AI 本课是第一门课程，概述了云计算、Google Cloud 的使用方式以及各种计算选项。
这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。