Google Workspace Essentials
Earned Sep 26, 2021 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Sep 23, 2021 EDT
Use Machine Learning APIs on Google Cloud
Earned Sep 17, 2021 EDT
通过 BigQuery ML 创建机器学习模型
Earned Sep 17, 2021 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Oct 31, 2020 EDT
Machine Learning APIs
Earned Oct 30, 2020 EDT
面向机器学习的 BigQuery
Earned Oct 26, 2020 EDT
机器学习简介：语言处理
Earned Oct 25, 2020 EDT
基准：数据、机器学习和 AI
Earned Oct 25, 2020 EDT
在此入门级挑战任务中，您可以使用 Google Cloud Platform 的基本工具和服务，开展真枪实弹的操作实训。“GCP 基本功能”是我们为 Google Cloud 学员推荐的第一项挑战任务。云知识储备微乎其微甚至零基础？不用担心！这项挑战任务会为您提供真枪实弹的实操经验，助您快速上手 GCP 项目。无论是要编写 Cloud Shell 命令还是部署您的第一台虚拟机，亦或是通过负载平衡机制或在 Kubernetes Engine 上运行应用，都可以通过“GCP 基本功能”了解该平台的基本功能之精要。点此观看 1 分钟视频，了解每个实验涉及的主要概念。
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Workspace is Google's collaborative applications platform, delivered from Google Cloud. In this introductory-level course you will get hands-on practice with Workspace’s core applications from a user perspective. Although there are many more applications and tool components to Workspace than are covered here, you will get experience with the primary apps: Gmail, Calendar, Sheets and a handful of others. Each lab can be completed in 10-15 minutes, but extra time is provided to allow self-directed free exploration of the applications.
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With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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完成中级技能徽章课程通过 BigQuery ML 创建机器学习模型，展示您在以下方面的技能： 使用 BigQuery ML 创建和评估机器学习模型，以执行数据预测。 技能徽章是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；您需要在 交互式实操环境中参加考核，证明自己运用所学知识的能力后才能获得此徽章。完成此技能 徽章课程和作为最终评估的实验室挑战赛，即可获得技能徽章， 在您的人际圈中炫出自己的技能。
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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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It's no secret that machine learning is one of the fastest growing fields in tech, and Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this advanced-level course, you will get hands-on practice with machine learning APIs by taking labs like Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? Enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
Google Cloud Essentials
Earned Sep 26, 2021 EDT
Google Workspace Essentials
Earned Sep 26, 2021 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Sep 23, 2021 EDT
Use Machine Learning APIs on Google Cloud
Earned Sep 17, 2021 EDT
通过 BigQuery ML 创建机器学习模型
Earned Sep 17, 2021 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Oct 31, 2020 EDT
Machine Learning APIs
Earned Oct 30, 2020 EDT
面向机器学习的 BigQuery
Earned Oct 26, 2020 EDT
机器学习简介：语言处理
Earned Oct 25, 2020 EDT
基准：数据、机器学习和 AI
Earned Oct 25, 2020 EDT