NCAA® March Madness®: Bracketology with Google Cloud
Earned Apr 4, 2023 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Apr 4, 2023 EDT
借助 Firebase 开发无服务器应用
Earned Apr 4, 2023 EDT
在 Google Cloud 上构建网站
Earned Apr 3, 2023 EDT
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。
了解详情
Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
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.
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
了解详情
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.
了解详情
完成借助 Firebase 开发无服务器应用技能徽章中级课程， 展示您在以下方面的技能：借助 Firebase 设计无服务器 Web 应用架构以及构建无服务器 Web 应用； 利用 Firestore 管理数据库；利用 Cloud Build 自动完成部署流程； 以及将 Google 助理功能集成到您的应用中。
了解详情
完成在 Google Cloud 上构建网站技能徽章课程，赢取入门级技能徽章。本课程以 Get Cooking in Cloud 系列视频为基础， 涵盖以下主题：在 Cloud Run 上部署网站在 Compute Engine 上托管 Web 应用在 Google Kubernetes Engine 上创建、部署和扩缩网站使用 Cloud Build 从单体式应用迁移到微服务架构
云工程
Earned Apr 11, 2023 EDT
Data Catalog Fundamentals
Earned Apr 11, 2023 EDT
在 Google Cloud 上部署 Kubernetes 应用
Earned Apr 4, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Apr 4, 2023 EDT
在 Google Cloud 中实施 DevOps 工作流
Earned Apr 4, 2023 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Apr 4, 2023 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned Apr 4, 2023 EDT
借助 Firebase 开发无服务器应用
Earned Apr 4, 2023 EDT
在 Google Cloud 上构建网站
Earned Apr 3, 2023 EDT