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
使用 Firebase 開發無伺服器應用程式
Earned Apr 4, 2023 EDT
透過 Google Cloud 建構網站
Earned Apr 3, 2023 EDT
本入門課程有別於其他課程。 透過這些實驗室，IT 專業人員將有機會實際練習， 熟悉出現在 Google Cloud 助理雲端工程師認證中的主題和服務。本課程包含多個專門的實驗室，從 IAM、網路建立 到 Kubernetes Engine 部署作業， 可全面驗收您的 Google Cloud 知識。請注意，雖然進行這些 實驗室可提升您的技能和能力，但仍建議同時詳閱 測驗指南和其他可用的準備資源。
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.
完成透過 Google Cloud 建構網站技能徽章課程，即可獲得入門級技能徽章。 本課程以 Get Cooking in Cloud 系列影片為基礎， 涵蓋以下主題：在 Cloud Run 部署網站在 Compute Engine 託管網頁應用程式在 Google Kubernetes Engine 建立、 部署及擴充網站使用 Cloud Build 將單體式應用程式遷移至微服務架構
雲端工程
Earned Apr 11, 2023 EDT
Data Catalog Fundamentals
Earned Apr 11, 2023 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Apr 4, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud
Earned Apr 4, 2023 EDT
在 Google Cloud 實作 DevOps 工作流程
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
使用 Firebase 開發無伺服器應用程式
Earned Apr 4, 2023 EDT
透過 Google Cloud 建構網站
Earned Apr 3, 2023 EDT