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在 Google Cloud 控制台中运用您的技能

Lucas Klassmann

成为会员时间：2019

钻石联赛

23395 积分
图像生成简介 Earned Dec 14, 2024 EST
注意力机制 Earned Dec 14, 2024 EST
API Gateway 使用入门 Earned Jul 25, 2024 EDT
Build a Website on Google Cloud Earned Jul 24, 2024 EDT
Classify Images with TensorFlow on Google Cloud Earned Jul 23, 2024 EDT
Pub/Sub 使用入门 Earned Jul 20, 2024 EDT
Managing Cloud Infrastructure with Terraform Earned Jul 12, 2024 EDT
Preparing for your Professional Cloud Architect Journey Earned Jul 11, 2024 EDT
Observability in Google Cloud Earned Jul 11, 2024 EDT
适用于端到端 SDLC 的 Gemini Earned Jun 11, 2024 EDT
适用于安全工程师的 Gemini Earned Jun 11, 2024 EDT
适用于云架构师的 Gemini Earned Jun 11, 2024 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则 Earned Jun 10, 2024 EDT
负责任的 AI 简介 Earned May 6, 2024 EDT
大型语言模型简介 Earned May 6, 2024 EDT
生成式 AI 简介 Earned May 6, 2024 EDT
Google Cloud Run Serverless Workshop Earned Jun 13, 2023 EDT
在 Cloud Run 上开发无服务器应用 Earned Jun 11, 2023 EDT
Application Development with Cloud Run Earned Jun 10, 2023 EDT
App Deployment, Debugging, and Performance Earned Jun 5, 2023 EDT
Securing and Integrating Components of your Application Earned Jun 3, 2023 EDT
Getting Started With Application Development Earned Jun 2, 2023 EDT
Google Kubernetes Engine 使用入门 Earned May 14, 2023 EDT
Google Cloud 重要基础设施：核心服务 Earned Apr 5, 2023 EDT
Google Cloud 重要基础设施：基础 Earned Apr 3, 2023 EDT
Google Cloud 基础知识：核心基础设施 Earned Mar 8, 2023 EST
Deprecated Kubernetes Solutions Earned Oct 8, 2019 EDT

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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本课程将向您介绍注意力机制，这是一种强大的技术，可令神经网络专注于输入序列的特定部分。您将了解注意力的工作原理，以及如何使用它来提高各种机器学习任务的性能，包括机器翻译、文本摘要和问题解答。

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完成 API Gateway 使用入门挑战任务，赢取技能徽章。 您将学习如何通过全托管式网关，使用 API Gateway 来部署、保护和管理 API 。 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， 获得数字徽章，在您的人际圈中秀出自己的技能。

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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 the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.

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完成 Pub/Sub 使用入门挑战任务，赢取技能徽章。 您将学习如何通过 Cloud 控制台使用 Pub/Sub，如何使用 Cloud Scheduler　安排 作业以节省工作量，以及 Pub/Sub Lite 如何在有大量 事件注入的场景中节省费用。 技能徽章是一种专属数字徽章， 由 Google Cloud 颁发，旨在认可您已熟悉特定的 Google Cloud 产品与服务， 并在交互式实操环境中证明了运用所学知识 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， 获得相应的数字徽章，在您的人际圈中秀出自己的技能。

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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.

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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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Welcome to the second part of the two part course, Observability in Google Cloud. This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.

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在本课程中，您将了解 Gemini（Google Cloud 推出的一款依托生成式 AI 的协作工具）如何帮助您使用 Google 产品和服务开发、测试、部署和管理应用。在 Gemini 的协助下，您可以学习如何开发和构建 Web 应用、修复应用中的错误、开发测试和查询数据。您可以通过实操实验了解如何利用 Gemini 来改进软件开发生命周期 (SDLC)。 Duet AI 已更名为 Gemini，这是我们的新一代模型。

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在本课程中，您将了解 Gemini（Google Cloud 推出的一款依托生成式 AI 的协作工具）如何帮助您保护您的云环境和资源。您将学习如何将示例工作负载部署到 Google Cloud 环境中，以及如何借助 Gemini 识别和修复安全配置错误。您可以通过实操实验了解如何利用 Gemini 来改善云安全状况。 Duet AI 已更名为 Gemini，这是我们的新一代模型。

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在本课程中，您将了解 Gemini（Google Cloud 的生成式 AI 赋能的协作工具）如何帮助管理员预配基础设施。您将了解如何通过输入提示来让 Gemini 解释基础设施、GKE 集群的部署，以及现有基础设施的更新。您可以通过实操实验了解如何利用 Gemini 来改进 GKE 部署工作流。 Duet AI 已更名为 Gemini，这是我们的新一代模型。

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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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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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Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. 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 this quest to receive an exclusive Google…

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完成在 Cloud Run 上开发无服务器应用技能徽章中级课程， 展示您在以下方面的技能：集成 Cloud Run 与 Cloud Storage 以管理数据， 使用 Cloud Run 和 Pub/Sub 设计弹性异步系统架构， 构建依托 Cloud Run 技术的 REST API 网关，以及在 Cloud Run 上构建和部署服务。 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，获得技能徽章， 并在您的社交圈中秀一秀自己的成就。

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This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to on Google Cloud using Cloud Run.design, implement, deploy, secure, manage, and scale applications

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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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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 develop more secure applications, implement federated identity management, and integrate application components by using messaging, event-driven processing, and API gateways. 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 second course of the Developing Applications with Google Cloud series. After completing this course, enroll in the App Deployment, Debugging, and Performance course.

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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.

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欢迎学习“Google Kubernetes Engine 使用入门”课程。Kubernetes 是位于应用和硬件基础架构之间的软件层，如果您对 Kubernetes 感兴趣，那就来对地方了！Google Kubernetes Engine 将 Kubernetes 作为 Google Cloud 上的代管式服务提供给您使用。 本课程的目标是介绍 Google Kubernetes Engine（通常称为 GKE）的基础知识，以及将应用容器化并在 Google Cloud 中运行的方法。本课程首先介绍 Google Cloud 的基础知识，然后概述容器、Kubernetes、Kubernetes 架构以及 Kubernetes 操作。

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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，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、系统和应用服务等基础架构组件。本课程的内容还包括如何部署实用的解决方案，包括客户提供的加密密钥、安全和访问权限管理、配额和结算，以及资源监控。

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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。

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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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Containerized applications have changed the game and are here to stay. With Kubernetes, you can orchestrate containers with ease, and integration with the Google Cloud Platform is seamless. In this advanced-level quest, you will be exposed to a wide range of Kubernetes use cases and will get hands-on practice architecting solutions over the course of 8 labs. From building Slackbots with NodeJS, to deploying game servers on clusters, to running the Cloud Vision API, Kubernetes Solutions will show you first-hand how agile and powerful this container orchestration system is.

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