Anjana Purushothaman
成为会员时间:2019
白银联赛
3300 积分
成为会员时间:2019
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。
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。
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.
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。
Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
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。
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。
In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
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.
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。
Welcome Gamers! Here is a nice game to compete with your classmates! Complete the game lab score points. Earn the most points by completing the steps in the lab.... and get bonus points for speed! Be sure to click "End" when you're done with this lab to get the maximum points. Keep a watch on the leaderboard to see how you are doing. All players will be awarded the game badge.