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在 Google Cloud 控制台中运用您的技能

Kushank Maheshwari

成为会员时间：2023

在 Google Cloud 上将应用与 Gemini 1.0 Pro 集成 Earned Jan 16, 2025 EST
借助 Gemini Code Assist 简化应用开发 Earned Jan 15, 2025 EST
Service Orchestration and Choreography on Google Cloud Earned Jan 15, 2025 EST
Developing Applications with Google Cloud: Foundations Earned Jan 13, 2025 EST
Google Kubernetes Engine 使用入门 Earned Jan 2, 2024 EST
Developing Applications with Cloud Run on Google Cloud: Fundamentals Earned Dec 25, 2023 EST
Developing Containerized Applications on Google Cloud Earned Dec 11, 2023 EST
App Deployment, Debugging, and Performance Earned Dec 8, 2023 EST
Securing and Integrating Components of your Application Earned Nov 27, 2023 EST
Getting Started With Application Development Earned Oct 30, 2023 EDT
Google Cloud 基础知识：核心基础设施 Earned Oct 2, 2023 EDT

这一简短的课程将介绍如何在 Google Cloud 上将应用与 Gemini 1.0 Pro 模型集成，可帮助您探索 Gemini API 及其生成式 AI 模型。此课程会教您如何通过代码访问 Gemini 1.0 Pro 和 Gemini 1.0 Pro Vision 模型。课程会安排您在应用中使用文本、图片和视频提示来测试这些模型的功能。

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本课程专为各个级别的开发者打造，您将学到 Gemini Code Assist 的核心特性和功能。Gemini Code Assist 依托 AI 技术，可协助您在 Google Cloud 上进行应用开发。从智能代码建议、自动补全、实时错误检测到重构辅助，您将发现 Gemini Code Assist 如何显著提升开发效率和代码质量，帮助您节省宝贵时间，专注于更具价值和趣味性的任务。

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This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.

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In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.

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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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This course introduces the Cloud Run serverless platform for running applications. In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle. You learn about service identities, how to control access to services, and how to develop and test your application locally before deploying it to Cloud Run. The course also teaches you how to integrate with other services on Google Cloud so you can build full-featured applications.

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In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.

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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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“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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