App Deployment, Debugging, and Performance
Earned Jan 23, 2025 EST
矢量搜索和嵌入
Earned Nov 25, 2024 EST
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Nov 15, 2024 EST
设置 Google Cloud 网络
Earned Oct 25, 2024 EDT
Developing a Google SRE Culture
Earned Oct 23, 2024 EDT
Vertex AI Studio 简介
Earned Sep 12, 2024 EDT
在 Vertex AI 中设计提示
Earned Apr 25, 2024 EDT
Generative AI Fundamentals
Earned Aug 28, 2023 EDT
Transformer 模型和 BERT 模型
Earned Aug 28, 2023 EDT
编码器-解码器架构
Earned Aug 24, 2023 EDT
注意力机制
Earned Aug 24, 2023 EDT
图像生成简介
Earned Aug 24, 2023 EDT
负责任的 AI 简介
Earned Aug 24, 2023 EDT
大型语言模型简介
Earned Aug 11, 2023 EDT
生成式 AI 简介
Earned Aug 9, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned Feb 23, 2023 EST
Getting Started with Terraform for Google Cloud
Earned Feb 23, 2023 EST
Logging and Monitoring in Google Cloud
Earned Feb 17, 2023 EST
Architecting with Google Kubernetes Engine: Foundations - 简体中文
Earned Feb 7, 2023 EST
Google Kubernetes Engine 使用入门
Earned Jan 19, 2023 EST
Google Cloud 弹性基础设施：扩缩和自动化
Earned Jan 4, 2023 EST
Google Cloud 重要基础设施：核心服务
Earned Nov 30, 2022 EST
Google Cloud 重要基础设施：基础
Earned Nov 13, 2022 EST
Google Cloud 基础知识：核心基础设施
Earned Nov 1, 2022 EDT
在本课程中，您将了解 Google Cloud 数据工程、数据工程师的角色和职责，以及相关的 Google Cloud 产品和服务。您还将了解如何应对数据工程挑战。
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.
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.
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在本次课程中，探索 AI 赋能的搜索技术、工具和应用。学习利用向量嵌入的语义搜索、融合语义和关键字的混合搜索方法，以及检索增强生成 (RAG) 技术，以打造基于事实的 AI 智能体，尽可能减少 AI 幻觉。获取 Vertex AI Vector Search 实战经验，打造您自己的智能搜索引擎。
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(This course was previously named Multimodal Prompt Engineering with Gemini and PaLM) This course teaches how to use Vertex AI Studio, a Google Cloud console tool for rapidly prototyping and testing generative AI models. You learn to test sample prompts, design your own prompts, and customize foundation models to handle tasks that meet your application's needs. Whether you are looking for text, chat, code, image or speech generative experiences Vertex AI Studio offers you an interface to work with and APIs to integrate your production application.
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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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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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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。
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完成 在 Vertex AI 中设计提示入门技能徽章课程，展示以下方面的技能： Vertex AI 中的提示工程、图片分析和多模态生成式技术。探索如何编写有效的提示，指导生成式 AI 输出， 以及将 Gemini 模型应用于真实的营销场景。 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， 并在您的社交圈中秀一秀自己的水平。
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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.
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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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 helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud.
Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.
Google Cloud 数据工程简介
Earned Mar 19, 2025 EDT
App Deployment, Debugging, and Performance
Earned Jan 23, 2025 EST
矢量搜索和嵌入
Earned Nov 25, 2024 EST
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Nov 15, 2024 EST
设置 Google Cloud 网络
Earned Oct 25, 2024 EDT
Developing a Google SRE Culture
Earned Oct 23, 2024 EDT
Vertex AI Studio 简介
Earned Sep 12, 2024 EDT
在 Vertex AI 中设计提示
Earned Apr 25, 2024 EDT
Generative AI Fundamentals
Earned Aug 28, 2023 EDT
Transformer 模型和 BERT 模型
Earned Aug 28, 2023 EDT
编码器-解码器架构
Earned Aug 24, 2023 EDT
注意力机制
Earned Aug 24, 2023 EDT
图像生成简介
Earned Aug 24, 2023 EDT
负责任的 AI 简介
Earned Aug 24, 2023 EDT
大型语言模型简介
Earned Aug 11, 2023 EDT
生成式 AI 简介
Earned Aug 9, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned Feb 23, 2023 EST
Getting Started with Terraform for Google Cloud
Earned Feb 23, 2023 EST
Logging and Monitoring in Google Cloud
Earned Feb 17, 2023 EST
Architecting with Google Kubernetes Engine: Foundations - 简体中文
Earned Feb 7, 2023 EST
Google Kubernetes Engine 使用入门
Earned Jan 19, 2023 EST
Google Cloud 弹性基础设施：扩缩和自动化
Earned Jan 4, 2023 EST
Google Cloud 重要基础设施：核心服务
Earned Nov 30, 2022 EST
Google Cloud 重要基础设施：基础
Earned Nov 13, 2022 EST
Google Cloud 基础知识：核心基础设施
Earned Nov 1, 2022 EDT