Preparing for your Professional Data Engineer Journey
Earned Feb 7, 2024 EST
Getting Started With Application Development
Earned Jan 31, 2024 EST
注意力机制
Earned Jan 22, 2024 EST
图像生成简介
Earned Jan 22, 2024 EST
Google Cloud 基础知识：核心基础设施
Earned Jan 16, 2024 EST
Developing a Google SRE Culture
Earned Jan 15, 2024 EST
Preparing for your Professional Cloud Architect Journey
Earned Dec 31, 2023 EST
Generative AI Fundamentals - 简体中文
Earned Aug 31, 2023 EDT
负责任的 AI 简介
Earned Aug 31, 2023 EDT
大型语言模型简介
Earned Aug 31, 2023 EDT
生成式 AI 简介
Earned Aug 31, 2023 EDT
本课程致力于为您提供所需的知识和工具，让您能够了解 MLOps 团队在部署和管理生成式 AI 模型以及探索 Vertex AI 如何帮助 AI 团队简化 MLOps 流程时面临的独特挑战，并帮助您在生成式 AI 项目中取得成功。
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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.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
This is the first course of the Developing Applications with Google Cloud series. After completing this course, enroll in the Securing and Integrating Components of your Application course.
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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“Google Cloud 基础知识：核心基础设施”介绍在使用 Google Cloud 时会遇到的重要概念和术语。本课程通过视频和实操实验来介绍并比较 Google Cloud 的多种计算和存储服务，并提供重要的资源和政策管理工具。
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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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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完成 Introduction to Generative AI、Introduction to Large Language Models 和 Introduction to Responsible AI 三门课程，赢取技能徽章。通过最终测验，即表明您理解了生成式 AI 的基本概念。
技能徽章是由 Google Cloud 颁发的数字徽章，旨在认可您对 Google Cloud 产品与服务的了解程度。公开您的个人资料并将技能徽章添加到您的社交媒体个人资料中，以此来分享您获得的成就。
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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。
适用于生成式 AI 的机器学习运维 (MLOps)
Earned Mar 28, 2025 EDT
Preparing for your Professional Data Engineer Journey
Earned Feb 7, 2024 EST
Getting Started With Application Development
Earned Jan 31, 2024 EST
注意力机制
Earned Jan 22, 2024 EST
图像生成简介
Earned Jan 22, 2024 EST
Google Cloud 基础知识：核心基础设施
Earned Jan 16, 2024 EST
Developing a Google SRE Culture
Earned Jan 15, 2024 EST
Preparing for your Professional Cloud Architect Journey
Earned Dec 31, 2023 EST
Generative AI Fundamentals - 简体中文
Earned Aug 31, 2023 EDT
负责任的 AI 简介
Earned Aug 31, 2023 EDT
大型语言模型简介
Earned Aug 31, 2023 EDT
生成式 AI 简介
Earned Aug 31, 2023 EDT