Generative AI for Business Leaders
Earned Apr 7, 2025 EDT
Implement CI/CD Pipelines on Google Cloud
Earned Jan 9, 2025 EST
设置 Google Cloud 网络
Earned Dec 24, 2024 EST
Analyze BigQuery Data in Connected Sheets
Earned Dec 24, 2024 EST
Monitoring in Google Cloud
Earned Dec 22, 2024 EST
在 Google Cloud 上部署 Kubernetes 应用
Earned Dec 19, 2024 EST
Analyze Speech and Language with Google APIs
Earned Dec 18, 2024 EST
优化 Google Kubernetes Engine 的费用
Earned Dec 17, 2024 EST
在 Google Cloud 上使用 Terraform 构建基础设施
Earned Dec 13, 2024 EST
Build a Website on Google Cloud
Earned Dec 6, 2024 EST
Analyze Images with the Cloud Vision API
Earned Dec 3, 2024 EST
Preparing for your Professional Cloud Architect Journey
Earned Jan 14, 2024 EST
Text Prompt Engineering Techniques
Earned Oct 19, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Oct 19, 2023 EDT
Search with AI Applications
Earned Oct 18, 2023 EDT
Generative AI Explorer : Vertex AI
Earned Oct 17, 2023 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Oct 17, 2023 EDT
Vertex AI Studio 简介
Earned Oct 17, 2023 EDT
创建图片标注模型
Earned Oct 17, 2023 EDT
Google Kubernetes Engine 使用入门
Earned Sep 29, 2023 EDT
Transformer 模型和 BERT 模型
Earned Sep 15, 2023 EDT
编码器-解码器架构
Earned Sep 15, 2023 EDT
注意力机制
Earned Sep 15, 2023 EDT
图像生成简介
Earned Sep 15, 2023 EDT
Generative AI Fundamentals
Earned Aug 21, 2023 EDT
负责任的 AI 简介
Earned Aug 21, 2023 EDT
大型语言模型简介
Earned Aug 21, 2023 EDT
生成式 AI 简介
Earned Aug 18, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Mar 30, 2023 EDT
[DEPRECATED] Data Engineering
Earned Mar 21, 2023 EDT
在 Google Cloud 上设置应用开发环境
Earned Nov 10, 2022 EST
在 Compute Engine 上实现负载均衡
Earned Nov 8, 2022 EST
Google Cloud 重要基础设施：核心服务
Earned Nov 8, 2022 EST
Google Cloud 重要基础设施：基础
Earned Oct 31, 2022 EDT
Google Cloud 基础知识：核心基础设施
Earned Oct 27, 2022 EDT
此课程将探索如何使用 AI 功能套件 Gemini in BigQuery 为“数据到 AI”工作流提供助力。其中涉及到的功能包括数据探索和准备、代码生成和问题排查，以及工作流发现和可视化。此课程包含概念解释、真实使用场景以及实操实验等内容，可帮助数据从业者提升效率并加快流水线开发速度。
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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
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Earn the intermediate skill badge by completing the Implement CI/CD Pipelines on Google Cloud course where you will learn how to use Artifact Registry, Cloud Build, and Cloud Deploy. You will interact with the Cloud console, Google Cloud CLI, Cloud Run, and GKE. This course will teach you how to build continuous integration pipelines, store and secure artifacts, scan for vulnerabilities, attest to the validity of approved releases. Additionally, you'll get hands-on experience deploying applications to both GKE and Cloud Run. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an skillbadge hands-on environment. Complete this skill badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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完成设置 Google Cloud 网络课程，赢取技能徽章， 您将了解如何在 Google Cloud Platform 上执行基本的网络组建和管理任务 - 创建自定义网络、添加子网防火墙规则，然后创建虚拟机并测试 虚拟机之间相互通信时的延迟时间。 技能徽章是由 Google Cloud 颁发的专有数字徽章， 旨在认可您在 Google Cloud 产品与服务方面的熟练度； 该课程会检验您在交互式实操环境中 运用所学知识的能力。完成此技能徽章课程和作为最终评估的实验室挑战赛， 即可获得数字徽章，并在您的圈子中秀一秀。
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Complete the Analyze BigQuery Data in Connected Sheets skill badge to demonstrate that you can use Connected Sheets to access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet.
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Earn the introductory skill badge by completing the Monitoring in Google Cloud course, where you learn how to use Cloud Monitoring tools.
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完成在 Google Cloud 上部署 Kubernetes 应用技能徽章中级课程，展示您在以下方面的技能： 配置和构建 Docker 容器映像，创建和管理 Google Kubernetes Engine (GKE) 集群，利用 kubectl 实现高效 集群管理，以及按照稳健的持续交付 (CD) 实践部署 Kubernetes 应用。 技能徽章是由 Google Cloud 颁发的专有数字徽章，旨在认可您在 Google Cloud 产品与服务方面的熟练度； 您需要在交互式实操环境中参加考核，证明自己运用所学知识的能力后才能获得。 完成此技能徽章课程和作为最终评估的实验室挑战赛，获得技能徽章，在您的人际圈中炫出自己的技能。
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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.
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完成中级技能徽章课程“优化 Google Kubernetes Engine 的费用”， 展示您在以下方面的技能：创建和管理多租户集群、按命名空间监控资源使用情况、 配置集群和 Pod 自动扩缩以提高效率、设置负载均衡以实现最佳资源分布， 以及实现活跃性与就绪性探测以确保应用正常运行并具有成本效益。 技能徽章是由 Google Cloud 颁发的专属数字徽章， 证明您在特定 Google Cloud 产品与服务方面的熟练程度；您需要在 交互式实操环境中参加考核，证明自己运用所学知识的能力后才能获得此徽章。完成此技能 徽章课程和作为最终评估的实验室挑战赛，即可获得技能徽章， 在您的人际圈中炫出自己的技能。
Earn the introductory skill badge by completing the Build a Website on Google Cloud course. This course is based on the series Get Cooking in Cloud, where you learn how to: Deploy a website on Cloud Run; Host a web app on Compute Engine; Create, deploy, and scale your website on Google Kubernetes Engine; Migrate from a monolithic application to a microservices architecture using Cloud Build. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.
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This course helps learners create a study plan for the PCA (Professional Cloud Architect) 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.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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This content is deprecated. Please see the latest version of the course, here.
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随着企业对人工智能和机器学习的应用越来越广泛，以负责任的方式构建这些技术也变得更加重要。但对很多企业而言，真正践行 Responsible AI 并非易事。如果您有意了解如何在组织内践行 Responsible AI，本课程正适合您。
本课程将介绍 Google Cloud 目前如何践行 Responsible AI，以及从中总结的最佳实践和经验教训，便于您以此为框架构建自己的 Responsible AI 方法。
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本课程介绍 Vertex AI Studio，这是一种用于与生成式 AI 模型交互、围绕业务创意进行原型设计并在生产环境中落地的工具。通过沉浸式应用场景、富有吸引力的课程和实操实验，您将探索从提示到产品的整个生命周期，了解如何将 Vertex AI Studio 用于多模态 Gemini 应用、提示设计、提示工程和模型调优。本课程的目的在于帮助您利用 Vertex AI Studio，在自己的项目中充分发掘生成式 AI 的潜力。
本课程向您介绍扩散模型。这类机器学习模型最近在图像生成领域展现出了巨大潜力。扩散模型的灵感来源于物理学，特别是热力学。过去几年内，扩散模型成为热门研究主题并在整个行业开始流行。Google Cloud 上许多先进的图像生成模型和工具都是以扩散模型为基础构建的。本课程向您介绍扩散模型背后的理论，以及如何在 Vertex AI 上训练和部署此类模型。
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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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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。
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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。
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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。
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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.
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This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
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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。 技能徽章是由 Google Cloud 颁发的专属数字徽章， 旨在认可您在 Google Cloud 产品与服务方面的熟练度；您需要在交互式实操环境中参加考核，证明自己运用所学知识的能力后才能获得。完成此技能徽章课程和作为最终评估的实验室挑战赛，获得技能徽章，在您的人际圈中炫出自己的技能。
使用 Gemini in BigQuery 提高效率
Earned May 2, 2025 EDT
Generative AI for Business Leaders
Earned Apr 7, 2025 EDT
Implement CI/CD Pipelines on Google Cloud
Earned Jan 9, 2025 EST
设置 Google Cloud 网络
Earned Dec 24, 2024 EST
Analyze BigQuery Data in Connected Sheets
Earned Dec 24, 2024 EST
Monitoring in Google Cloud
Earned Dec 22, 2024 EST
在 Google Cloud 上部署 Kubernetes 应用
Earned Dec 19, 2024 EST
Analyze Speech and Language with Google APIs
Earned Dec 18, 2024 EST
优化 Google Kubernetes Engine 的费用
Earned Dec 17, 2024 EST
在 Google Cloud 上使用 Terraform 构建基础设施
Earned Dec 13, 2024 EST
Build a Website on Google Cloud
Earned Dec 6, 2024 EST
Analyze Images with the Cloud Vision API
Earned Dec 3, 2024 EST
Preparing for your Professional Cloud Architect Journey
Earned Jan 14, 2024 EST
Text Prompt Engineering Techniques
Earned Oct 19, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Oct 19, 2023 EDT
Search with AI Applications
Earned Oct 18, 2023 EDT
Generative AI Explorer : Vertex AI
Earned Oct 17, 2023 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Oct 17, 2023 EDT
Vertex AI Studio 简介
Earned Oct 17, 2023 EDT
创建图片标注模型
Earned Oct 17, 2023 EDT
Google Kubernetes Engine 使用入门
Earned Sep 29, 2023 EDT
Transformer 模型和 BERT 模型
Earned Sep 15, 2023 EDT
编码器-解码器架构
Earned Sep 15, 2023 EDT
注意力机制
Earned Sep 15, 2023 EDT
图像生成简介
Earned Sep 15, 2023 EDT
Generative AI Fundamentals
Earned Aug 21, 2023 EDT
负责任的 AI 简介
Earned Aug 21, 2023 EDT
大型语言模型简介
Earned Aug 21, 2023 EDT
生成式 AI 简介
Earned Aug 18, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Mar 30, 2023 EDT
[DEPRECATED] Data Engineering
Earned Mar 21, 2023 EDT
在 Google Cloud 上设置应用开发环境
Earned Nov 10, 2022 EST
在 Compute Engine 上实现负载均衡
Earned Nov 8, 2022 EST
Google Cloud 重要基础设施：核心服务
Earned Nov 8, 2022 EST
Google Cloud 重要基础设施：基础
Earned Oct 31, 2022 EDT
Google Cloud 基础知识：核心基础设施
Earned Oct 27, 2022 EDT