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Punita Ojha

成为会员时间:2019

黄金联赛

13449 积分
Build a Certification Study Guide: PMLE Earned Jan 14, 2026 EST
Google Cloud 上的 AI 和机器学习简介 Earned May 7, 2024 EDT
负责任的 AI 简介 Earned Apr 2, 2024 EDT
大型语言模型简介 Earned Apr 2, 2024 EDT
生成式 AI 简介 Earned Apr 2, 2024 EDT
在 Google Cloud 上使用 Terraform 构建基础设施 Earned May 31, 2023 EDT
Logging and Monitoring in Google Cloud Earned May 31, 2023 EDT
Google Kubernetes Engine 使用入门 Earned May 31, 2023 EDT
Google Cloud 弹性基础设施:扩缩和自动化 Earned May 30, 2023 EDT
开发 Google Cloud 网络 Earned May 30, 2023 EDT
为 Compute Engine 实现云负载均衡 Earned May 30, 2023 EDT
Google Cloud 基础知识 Earned May 30, 2023 EDT
在 Google Cloud 上设置应用开发环境 Earned May 29, 2023 EDT
基准:基础架构 Earned May 29, 2023 EDT
Google Cloud 重要基础设施:核心服务 Earned May 28, 2023 EDT
Google Cloud 重要基础设施:基础 Earned May 28, 2023 EDT
Google Cloud 基础知识:核心基础设施 Earned May 27, 2023 EDT
Preparing for Your Associate Cloud Engineer Journey Earned May 26, 2023 EDT
Getting Started with Terraform for Google Cloud Earned May 14, 2023 EDT
Scaling with Google Cloud Operations Earned Feb 18, 2023 EST
Modernize Infrastructure and Applications with Google Cloud Earned Feb 11, 2023 EST
Exploring Data Transformation with Google Cloud Earned Feb 11, 2023 EST
Digital Transformation with Google Cloud Earned Feb 10, 2023 EST
Diwali Speedrun Earned Oct 30, 2019 EDT
Cloud Development Earned Oct 7, 2019 EDT
Cloud Hero Warm Up: Artificial Intelligence and Machine Learning Earned Sep 5, 2019 EDT

Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.

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本课程介绍 Google Cloud 的 AI 和机器学习 (ML) 能力,重点讲解如何开发生成式和预测式 AI 项目。本课程将探讨“数据到 AI”全生命周期中的多种技术、产品和工具,并通过互动练习帮助数据科学家、AI 开发者和机器学习工程师提升专业能力。

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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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完成在 Google Cloud 上使用 Terraform 构建基础设施技能徽章中级课程, 展示您在以下方面的技能:在使用 Terraform 时遵循基础设施即代码 (IaC) 原则;利用 Terraform 配置 来预配和管理 Google Cloud 资源;管理有效状态(本地和远程);以及将 Terraform 代码模块化,以方便重复使用和整理。

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Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.

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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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这是一套自助式速成课程,向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务。学员将通过一系列视频讲座、演示和实操实验,探索和部署各种解决方案元素,包括安全互连网络、负载均衡、自动扩缩、基础架构自动化和代管式服务。

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完成开发 Google Cloud 网络课程,赢取技能徽章。在此课程中,您将学习 部署和监控应用的多种方法,包括执行以下任务的方法:探索 IAM 角色并添加/移除 项目访问权限、创建 VPC 网络、部署和监控 Compute Engine 虚拟机、 编写 SQL 查询、在 Compute Engine 中部署和监控虚拟机,以及使用 Kubernetes 通过多种部署方法部署应用。

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完成入门级技能徽章课程为 Compute Engine 实现云负载均衡,展示以下方面的技能: 在 Compute Engine 中创建和部署虚拟机 以及配置网络和应用负载均衡器。

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在本入门级课程中,您将了解 Google Cloud 的基础工具和服务。此课程提供了可选视频, 旨在帮助您深入了解和回顾实验中涉及的概念。Google Cloud 基础知识是推荐给 Google Cloud 学员的第一门课程 - 即使您几乎没有云相关知识,也能从中获得实践 经验,并将其直接运用于您的首个 Google Cloud 项目。从编写 Cloud Shell 命令和部署您的第一个虚拟机,到在 Kubernetes Engine 上运行应用 或者使用负载均衡,“Google Cloud 基础知识”都是您了解该平台 基本功能的首选入门级课程。

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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。

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如果您是一位入门级云开发者, 在学习了“Google Cloud 基础知识”课程之后,想要寻求真正的实操机会,这门课程就是您的不二之选。您将获得宝贵的实操经验, 通过多个实验深入探索 Cloud Storage 以及 Monitoring 和 Cloud Functions 等其他关键应用服务。您将掌握一系列宝贵技能, 在 Google Cloud 的任何计划中,这些技能都能发挥作用。

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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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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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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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Welcome to Diwali Speedrun! Here's some more fun for you this Diwali. Learn the ins and outs of the Google assistant with these interesting game labs. Complete the game labs one by one. The faster you complete the lab objectives, the higher your score. You can take each lab up to 5 times. Good luck!

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The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in Google Cloud from beginning to end. Be aware that while practice with these labs will increase your skills and abilities, it is recommended that you also review the exam guide and other available preparation resources.

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How can artificial intelligence and machine learning benefit your business? Let Google Cloud do the hard work and start taking advantage of advanced AI and ML tools. Dive deep into key solutions to common use cases and gain hands-on experience with data processing, natural language processing, forecasting and prediction as well as scoring points and competing with other players in today's game.

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