Vertex AI is now Gemini Enterprise Agent Platform! We are currently updating our content to reflect this change. Please bear with us if you encounter naming inconsistencies during this transition.
在 Google Cloud 控制台中运用您的技能
Kamal Agrawal
成为会员时间：2021
Google Cloud: Prompt Engineering Guide
Earned Jan 3, 2026 EST
大型语言模型简介
Earned Aug 4, 2025 EDT
负责任的 AI 简介
Earned Aug 4, 2025 EDT
生成式 AI 简介
Earned Apr 8, 2025 EDT
Creating New BigQuery Datasets and Visualizing Insights
Earned Dec 30, 2024 EST
Data Management and Storage in the Cloud
Earned Dec 29, 2024 EST
Achieving Advanced Insights with BigQuery
Earned Dec 20, 2024 EST
面向数据科学家和分析师的 Gemini
Earned Dec 7, 2024 EST
在 Google Cloud 上为机器学习 API 准备数据
Earned Dec 4, 2024 EST
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Dec 1, 2024 EST
通过 BigQuery ML 创建机器学习模型
Earned Nov 26, 2024 EST
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Nov 23, 2024 EST
Build Streaming Data Pipelines on Google Cloud
Earned Nov 16, 2024 EST
Build Batch Data Pipelines on Google Cloud
Earned Nov 4, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned Oct 29, 2024 EDT
使用 BigQuery 构建数据仓库
Earned Oct 27, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Oct 26, 2024 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Oct 25, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Oct 23, 2024 EDT
Networking in Google Cloud: Fundamentals
Earned Oct 14, 2022 EDT
构建安全的 Google Cloud 网络
Earned Oct 13, 2022 EDT
在 Google Cloud 上设置应用开发环境
Earned Oct 1, 2022 EDT
Google Cloud 重要基础设施：基础
Earned Sep 30, 2022 EDT
基准：基础架构
Earned Sep 21, 2022 EDT
Google Cloud 基础知识
Earned Sep 14, 2022 EDT
Google Cloud 基础知识：核心基础设施
Earned Sep 11, 2022 EDT
Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.
了解详情
这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。
了解详情
这是一节入门级微课程，旨在解释什么是负责任的 AI、它的重要性，以及 Google 如何在自己的产品中实现负责任的 AI。此外，本课程还介绍了 Google 的 7 个 AI 开发原则。
了解详情
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。
了解详情
This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources.
Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you.
After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.
了解详情
This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
了解详情
The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps.
We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views.
After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud course.
了解详情
在本课程中，您将了解 Gemini（Google Cloud 的生成式 AI 赋能的协作工具）如何帮助分析客户数据并预测产品销售情况。此外，您还将了解如何在 BigQuery 中使用客户数据来识别、开发新客户并对其进行分类。通过动手实验，您将体验 Gemini 如何改进数据分析和机器学习工作流。
Duet AI 已更名为 Gemini，这是我们的新一代模型。
了解详情
完成入门级技能徽章课程在 Google Cloud 上为机器学习 API 准备数据，展示以下技能： 使用 Dataprep by Trifacta 清理数据、在 Dataflow 中运行数据流水线、在 Dataproc 中创建集群和运行 Apache Spark 作业，以及调用机器学习 API，包括 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。
了解详情
完成中级技能徽章课程利用 BigQuery ML 构建预测模型时的数据工程处理， 展示自己在以下方面的技能：利用 Dataprep by Trifacta 构建 BigQuery 数据转换流水线； 利用 Cloud Storage、Dataflow 和 BigQuery 构建提取、转换和加载 (ETL) 工作流； 以及利用 BigQuery ML 构建机器学习模型。
了解详情
完成中级技能徽章课程通过 BigQuery ML 创建机器学习模型，展示您在以下方面的技能： 使用 BigQuery ML 创建和评估机器学习模型，以执行数据预测。
了解详情
Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
了解详情
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.
了解详情
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.
了解详情
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
了解详情
Networking in Google cloud is a 6 part course series. Welcome to the first course of our six part course series, Networking in Google Cloud: Fundamentals.
This course provides a comprehensive overview of core networking concepts, including networking fundamentals, virtual private clouds (VPCs), and the sharing of VPC networks. Additionally, the course covers network logging and monitoring techniques.
了解详情
完成构建安全的 Google Cloud 网络课程，赢取技能徽章。在此课程中，您将了解与网络有关的众多 资源，以便在 Google Cloud 上构建、扩缩和保护自己的应用。
了解详情
完成“在 Google Cloud 上设置应用开发环境”课程，赢取技能徽章；通过该课程，您将了解如何使用以下技术的基本功能来构建和连接以存储为中心的云基础设施： Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。
了解详情
这门自助式速成课程向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务，其中着重介绍了 Compute Engine。学员将通过一系列视频讲座、演示和动手实验，探索和部署各种解决方案元素，包括网络、虚拟机和应用服务等基础架构组件。您将学习如何通过控制台和 Cloud Shell 使用 Google Cloud。您还将了解云架构师角色、基础架构设计方法以及虚拟网络配置和虚拟私有云 (VPC)、项目、网络、子网、IP 地址、路由及防火墙规则。
Google Cloud: Prompt Engineering Guide
Earned Jan 3, 2026 EST
大型语言模型简介
Earned Aug 4, 2025 EDT
负责任的 AI 简介
Earned Aug 4, 2025 EDT
生成式 AI 简介
Earned Apr 8, 2025 EDT
Creating New BigQuery Datasets and Visualizing Insights
Earned Dec 30, 2024 EST
Data Management and Storage in the Cloud
Earned Dec 29, 2024 EST
Achieving Advanced Insights with BigQuery
Earned Dec 20, 2024 EST
面向数据科学家和分析师的 Gemini
Earned Dec 7, 2024 EST
在 Google Cloud 上为机器学习 API 准备数据
Earned Dec 4, 2024 EST
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Dec 1, 2024 EST
通过 BigQuery ML 创建机器学习模型
Earned Nov 26, 2024 EST
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Nov 23, 2024 EST
Build Streaming Data Pipelines on Google Cloud
Earned Nov 16, 2024 EST
Build Batch Data Pipelines on Google Cloud
Earned Nov 4, 2024 EST
Preparing for your Professional Data Engineer Journey
Earned Oct 29, 2024 EDT
使用 BigQuery 构建数据仓库
Earned Oct 27, 2024 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Oct 26, 2024 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Oct 25, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Oct 23, 2024 EDT
Networking in Google Cloud: Fundamentals
Earned Oct 14, 2022 EDT
构建安全的 Google Cloud 网络
Earned Oct 13, 2022 EDT
在 Google Cloud 上设置应用开发环境
Earned Oct 1, 2022 EDT
Google Cloud 重要基础设施：基础
Earned Sep 30, 2022 EDT
基准：基础架构
Earned Sep 21, 2022 EDT
Google Cloud 基础知识
Earned Sep 14, 2022 EDT
Google Cloud 基础知识：核心基础设施
Earned Sep 11, 2022 EDT