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.
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Learn how the Google Cloud ecosystem can help you build secure, scalable and intelligent cloud native applications and experience seamless integration between Google services and APIs to create intelligent apps. Dive deep into key solutions to common use cases and gain hands-on experience with App Engine, Stackdriver and the Places API, plus score points and compete with other players in today's game.
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Cloud Hero is played around the world, in person and online. Today, you have the opportunity to become one of the Cloud Heroes! Today's game is all about Core Infrastructure. You will compete to see who can finish the game with the most points. Speed is important, and so is accuracy! 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 each lab to get the maximum points. All players will be awarded the game badge.
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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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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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Cloud Hero is played around the world, in person and online. Today, you have the opportunity to become one of the Cloud Heroes! Today's game is all about Core Infrastructure. You will compete to see who can finish the game with the most points. Speed is important, and so is accuracy! 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 each lab to get the maximum points. All players will be awarded the game 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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Intro to ML: Image Processing
Earned Apr 27, 2020 EDT
Cloud Hero: Application Development
Earned Mar 30, 2020 EDT
Cloud Hero: Core Infrastructure
Earned Mar 30, 2020 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Jan 27, 2020 EST
面向机器学习的 BigQuery
Earned Dec 27, 2019 EST
Cloud Hero: Application Development
Earned Dec 8, 2019 EST
Cloud Hero @OnBoard: Infrastructure
Earned Oct 10, 2019 EDT
Google Cloud 基础知识
Earned Oct 6, 2019 EDT