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Esther Ndosi

成为会员时间:2019

钻石联赛

4874 积分
生成式 AI:全面了解生成式 AI Earned Oct 27, 2026 EDT
生成式 AI:剖析基本概念 Earned Oct 22, 2026 EDT
生成式 AI:不只是聊天机器人 Earned Oct 16, 2026 EDT
机器学习简介:语言处理 Earned Feb 15, 2020 EST
Community Speedrun Challenge #1: BigQuery Basics for Data Analysts Earned Feb 6, 2020 EST
Cloud Hero Speedrun: Tis the season! Earned Dec 21, 2019 EST
Baseline: Deploy & Develop Earned Dec 17, 2019 EST
Cloud SQL Earned Dec 17, 2019 EST
面向机器学习的 BigQuery Earned Dec 10, 2019 EST
Cloud Hero: Application Development Earned Dec 3, 2019 EST
Google Cloud Run Serverless Workshop Earned Nov 22, 2019 EST
Pet Theory Earned Nov 22, 2019 EST
Cloud Development Earned Oct 9, 2019 EDT
DEPRECATED Application Development - Python Earned Oct 9, 2019 EDT
DevOps 基础知识 Earned Oct 3, 2019 EDT
DEPRECATED Google Cloud's Operations Suite Earned Oct 1, 2019 EDT
Cloud Hero: Smart Analytics Earned Sep 28, 2019 EDT
DEPRECATED Cloud Architecture Earned Sep 25, 2019 EDT
云工程 Earned Sep 24, 2019 EDT
在 Google Cloud 中使用 Kubernetes Earned Sep 24, 2019 EDT
Palo Alto Networks Game Earned Sep 21, 2019 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network Earned Sep 12, 2019 EDT
安全与身份基础知识 Earned Sep 10, 2019 EDT
Cloud Hero Speedrun: Data Solutions Earned Aug 31, 2019 EDT
基准:基础架构 Earned Aug 30, 2019 EDT
[DEPRECATED] Data Engineering Earned Aug 28, 2019 EDT
DEPRECATED BigQuery for Data Analysis Earned Aug 27, 2019 EDT
DEPRECATED BigQuery for Data Warehousing Earned Aug 27, 2019 EDT
DEPRECATED BigQuery Basics for Data Analysts Earned Aug 23, 2019 EDT
基准:数据、机器学习和 AI Earned Aug 19, 2019 EDT
Cloud Hero Speedrun: VM Migration Earned Aug 17, 2019 EDT
Google Cloud 基础知识 Earned Aug 16, 2019 EDT
Cloud Hero Speedrun: Stackdriver Earned Jul 27, 2019 EDT

“生成式 AI:全面了解生成式 AI”是“Gen AI Leader”学习路线中的第三门课程。生成式 AI 正在改变我们的工作方式以及与世界的互动方式。作为领导者,应该如何利用生成式 AI 来推动实际业务成果?在本课程中,您将探索构建生成式 AI 解决方案的不同层级、Google Cloud 的产品/服务,以及选择解决方案时需要考虑的因素。

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生成式 AI:剖析基本概念是“Gen AI Leader”学习路线的第二门课程。在本课程中,您将探索 AI、机器学习和生成式 AI 之间的差异,了解各种数据类型如何赋能生成式 AI 来应对业务挑战,从而了解生成式 AI 的基本概念。您还将深入了解 Google Cloud 应对基础模型局限性的策略,以及负责任和安全的 AI 开发与部署面临哪些关键挑战。

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生成式 AI:不只是聊天机器人是 Gen AI Leader 学习路线的第一门课程,没有前提条件要求。本课程旨在带您超越对聊天机器人的浅层认知,深入挖掘生成式 AI 为您的组织带来的真正潜力。您将探索基础模型和提示工程等概念,它们对于利用生成式 AI 的强大功能至关重要。本课程还将提供指导,让您了解在为组织制定成功的生成式 AI 策略时,应考虑哪些重要因素。

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众所周知,机器学习是发展最快的技术领域之一, Google Cloud Platform 在推动其发展方面发挥了重要作用。 GCP 提供了一系列 API,几乎可以满足任何机器学习作业的需求。在 本入门课程中,您将了解机器学习在语言处理方面的运用, 通过实操实验学习 如何从文本中提取实体,执行情感和语法分析,以及 使用 Speech-to-Text API 进行转写。

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Welcome Gamers! In this game today, you will be having fun with BigQuery. Learn some interesting concepts like BigQuery Qwik start and Cloud SQL. Take labs to earn points. The faster you complete the lab objectives, the higher your score.

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Tis the season for hot chocolate, gingerbread cookies and stocking stuffers! If you work in retail, it's also the season for long days and high stress. Learn how Google Cloud can make your life easier by bringing holiday cheer-filled solutions to your retail website, supply chain management, and more. In today's game, predict pricing and customer purchasing habits with GCP's data and ML tools. Happy holidays from our Qwiklabs family to yours!

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In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.

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Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.

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想要仅使用 SQL 就能在几分钟内构建机器学习模型,而不是花费数小时?BigQuery 借助机器学习,数据分析师能够使用现有的 SQL 工具和技能创建、训练、评估机器学习模型,并使用这些模型进行预测, 从而实现机器学习的普及。在 本系列实验中,您将尝试不同的模型类型,并了解 如何构建出色的模型。

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Have fun with this interesting game and get some hands on Stackdriver, Docker and Python. Challenge yourself to complete each task as quickly and accurately as possible to score points and earn badges!

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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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Welcome to the serverless Pet Theory game! Click "Join this Game". To modify your player name or avatar, go to your My Account page at https://google.qwiklabs.com. Points are earned by completing the steps in the lab.... and bonus points are earned for speed! Be sure to complete each lab by selecting the END option to get the maximum points. Please respect the GCP resource quotas that have been allocated. Otherwise, you'll waste your Game time and gain fewer points.

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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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In this advanced-level quest, you will learn the ins and outs of developing GCP applications in Python. The first labs will walk you through the basics of environment setup and application data storage with Cloud Datastore. Once you have a handle on the fundamentals, you will get hands-on practice deploying Python applications on Kubernetes and App Engine (the latter is the same framework that powers Snapchat!) With specialized bonus labs that teach user authentication and backend service development, this quest will give you practical experience so you can start developing robust Python applications straight away.

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通过 DevOps 获得 竞争优势。DevOps 是一种组织和文化运动,旨在加快软件交付速度, 提高服务可靠性,并在软件利益相关方之间 建立共享所有权。在本课程中,您将学习如何使用 Google Cloud 提高 软件交付能力,确保较高的速度、稳定性、可用性和安全性。 DevOps Research and Assessment 已加入 Google Cloud。您的团队表现如何?参加 这个包含 5 道选择题的测验,来一探究竟吧!

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Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.

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Are you getting the most out of your data? Take advantage of the business insights you already have with the power of Google Cloud's analysis tools. Dive deep into key solutions to common use cases and gain hands-on experience with Data Studio, BigQuery and more data tools, plus score points and compete with other players in today's game.

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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.

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在众多课程中,本入门课程独具特色。 这些实验经过精心设计,旨在让 IT 专业人员通过实践掌握 Google Cloud 认证 Associate Cloud Engineer 考核中的各项主题和服务内容。从 IAM 到网络组建和管理, 再到 Kubernetes Engine 部署,本课程将通过特定实验 检验您的 Google Cloud 知识掌握情况。请注意,虽然这些实操 实验有助于提升您的技能和能力,我们仍建议您同时查阅 考试指南和其他可用的备考资源。

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Kubernetes 是最受欢迎的容器编排系统, Google Kubernetes Engine 专为支持 Google Cloud 中的托管式 Kubernetes 部署 而设计。在本高级课程中,您将亲自动手配置 Docker 映像、容器,并部署功能完备的 Kubernetes Engine 应用。 此课程将帮助您掌握在工作流中集成容器编排所需的 实用技能。 想要参加实操实验室挑战赛, 展示您的技能并检验所学知识?完成本课程后,不妨继续参与这项额外的 实验室挑战赛,赢得 Google Cloud 专属数字徽章。 该挑战赛位于在 Google Cloud 上部署 Kubernetes 应用课程的结尾处。

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The move to Google Cloud Platform (GCP) public cloud services is underway, and requirements for cloud security are real. Palo Alto Networks offers innovative and comprehensive protection as you adopt public cloud services. In today's game, get hands-on experience with how Palo Alto Networks solutions complement the native GCP security toolset, including network, host and cloud-native security delivered through APIs for comprehensive protection.

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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.

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安全是 Google Cloud 服务绝不妥协的核心原则,为此, Google Cloud 开发了特定工具,为您的所有项目提供 安全与身份保障。本入门课程中,您将了解 用于管理用户和虚拟机账号的 Google Cloud Identity and Access Management (IAM) 服务 并进行实操练习。您还将通过 配置 VPC 和 VPN 获取网络安全方面的实践经验,并了解有哪些工具可用于 抵御安全威胁和防止数据泄露。

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In today's game, you will explore how Google Cloud can help you solve real-world challenges with different data tools, while making progress on the Data Engineering quest. Want to learn more about what data can do? Check out how the New York Times, Macy's and healthcare researchers are using tools like Kubernetes and Tensorflow: http://bit.ly/32e0bwi

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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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This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. 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 the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.

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Want to learn the core SQL and visualization skills of a Data Analyst? Interested in how to write queries that scale to petabyte-size datasets? Take the BigQuery for Analyst Quest and learn how to query, ingest, optimize, visualize, and even build machine learning models in SQL inside of BigQuery.

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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. 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 Cloud digital badge.

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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

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大数据、机器学习和人工智能是当今计算领域的热门话题, 但这些领域的专业性很强,因而很难找到 入门资料。幸运的是,Google Cloud 在这些领域提供了方便用户使用的服务, 通过本入门级课程,您可以 开始学习使用 BigQuery、Cloud Speech API 和 Video Intelligence 等工具。

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Looking to learn new skills in today's multi- and hybrid-cloud world? Play today's game and get hands-on practice with Google's VM migration sequence. Learn to leverage Terraform’s infrastructure-as-code templates, perform lift-and-shift migrations with Cloud Endure, and finally replicate applications as cloud-native workloads. Bonus, the labs in today's game all count towards earning your VM Migration badge.

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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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Stackdriver provides a wealth of information in application monitoring, report logging, and diagnoses. In this game you will explore Stackdriver and get hands-on practice with it. Have fun with Stackdriver and maximize your learning experience by getting an insight on how you can utilize Stackdriver Logging to your own GCP Environments.

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