Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
Earned Oct 31, 2022 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Oct 31, 2022 EDT
在 Google Cloud 使用機器學習 API
Earned Oct 30, 2022 EDT
從 BigQuery 資料取得深入分析結果
Earned Oct 30, 2022 EDT
Machine Learning APIs
Earned Oct 30, 2022 EDT
基本概念：資料、機器學習和 AI
Earned Oct 30, 2022 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Oct 30, 2022 EDT
透過 Vertex AI 建構及部署機器學習解決方案
Earned Oct 30, 2022 EDT
使用 BigQuery 進行機器學習
Earned Oct 28, 2022 EDT
透過 BigQuery 建構資料倉儲
Earned Oct 28, 2022 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Oct 28, 2022 EDT
運用 BigQuery ML 建立機器學習模型
Earned Oct 26, 2022 EDT
在 Looker 建構 LookML 物件
Earned Oct 19, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Oct 19, 2022 EDT
Race to the finish line with the Arcade June Speedrun and pick up valuable skills along with an exclusive Google Cloud Credential. Get hands-on experience with APIs, learn how to build a serverless app, and more! No prior experience needed.
了解详情
只要修完「在 Google Cloud 設定應用程式開發環境」課程，就能獲得技能徽章。 在本課程中，您將學會如何使用以下技術的基本功能，建構和連結以儲存空間為中心的雲端基礎架構：Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。
Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會概略介紹雲端基礎知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。完成這一系列課程後，學員將能闡述這些概念並展示實用技能。學員需依序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
本系列的最後一堂課回顧了代管大數據服務、機器學習與這項技術的價值，以及如何獲得技能徽章，進一步展示您的 Google Cloud 技能。
了解详情
完成 在 Google Cloud 為機器學習 API 準備資料 技能徽章入門課程，即可證明您具備下列技能： 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Dataproc 建立叢集和執行 Apache Spark 工作，以及呼叫機器學習 API，包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。
了解详情
完成「在 Google Cloud 使用機器學習 API」課程，即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能： Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
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.
了解详情
大數據、機器學習和人工智慧 (AI) 是時下熱門的 電腦相關話題，但這些領域相當專業，就算想要入門 也難以取得教材或資料。幸好，Google Cloud 提供了此領域的多種服務，而且容易使用。 參加這堂入門課程，您就能踏出第一步， 開始學習運用 BigQuery、Cloud Speech API 以及 Video Intelligence 等工具。
了解详情
In this course you will learn how to use several BigQuery ML features to improve retail use cases. Predict the demand for bike rentals in NYC with demand forecasting, and see how to use BigQuery ML for a classification task that predicts the likelihood of a website visitor making a purchase.
了解详情
完成 透過 Vertex AI 建構及部署機器學習解決方案 課程，即可瞭解如何使用 Google Cloud 的 Vertex AI 平台、AutoML 和自訂訓練服務， 訓練、評估、調整、解釋及部署機器學習模型。 這個技能徽章課程適合專業數據資料學家和機器學習 工程師，完成即可取得中階技能徽章。技能 徽章是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品和服務方面的精通程度， 代表您已通過測驗，能在互動式實作環境應用相關知識。完成這個技能徽章課程 和結業評量挑戰實驗室，就能獲得數位徽章， 並與親友分享。
Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. 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. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
了解详情
完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程，即可證明您具備下列技能： 可使用 BigQuery ML 建立及評估機器學習模型，並根據資料進行預測。
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.
The Arcade June Speedrun
Earned Jul 3, 2024 EDT
在 Google Cloud 設定應用程式開發環境
Earned Jul 2, 2024 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Jun 28, 2024 EDT
建立及管理 PostgreSQL 適用的 Cloud SQL 執行個體
Earned Jun 12, 2024 EDT
監控及管理 Google Cloud 資源
Earned Jun 11, 2024 EDT
建立及管理 AlloyDB 執行個體
Earned Jun 2, 2024 EDT
Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
Earned Oct 31, 2022 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Oct 31, 2022 EDT
在 Google Cloud 使用機器學習 API
Earned Oct 30, 2022 EDT
從 BigQuery 資料取得深入分析結果
Earned Oct 30, 2022 EDT
Machine Learning APIs
Earned Oct 30, 2022 EDT
基本概念：資料、機器學習和 AI
Earned Oct 30, 2022 EDT
DEPRECATED Applying BigQuery ML's Classification, Regression, and Demand Forecasting for Retail Applications
Earned Oct 30, 2022 EDT
透過 Vertex AI 建構及部署機器學習解決方案
Earned Oct 30, 2022 EDT
使用 BigQuery 進行機器學習
Earned Oct 28, 2022 EDT
透過 BigQuery 建構資料倉儲
Earned Oct 28, 2022 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Oct 28, 2022 EDT
運用 BigQuery ML 建立機器學習模型
Earned Oct 26, 2022 EDT
在 Looker 建構 LookML 物件
Earned Oct 19, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Oct 19, 2022 EDT