完成使用 BigQuery ML 為預測模型進行資料工程技能徽章中階課程， 即可證明自己具備下列知識與技能：運用 Dataprep by Trifacta 建構連至 BigQuery 的資料轉換 pipeline； 使用 Cloud Storage、Dataflow 和 BigQuery 建構「擷取、轉換及載入」(ETL) 工作負載， 以及使用 BigQuery ML 建構機器學習模型。
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。 「技能徽章」是 Google Cloud 核發的獨家數位徽章，用於肯定您在 Google Cloud 產品與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中應用相關知識。完成本技能徽章課程及結業評量挑戰研究室， 即可取得技能徽章並與他人分享。
了解详情
Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
了解详情
完成「以串流方式將分析資料傳入 BigQuery」任務，即可獲得技能徽章。 您將結合使用 Pub/Sub、Dataflow 和 BigQuery，以串流方式傳送 資料以供分析。 「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中應用相關 知識。完成這個技能徽章課程和結業評量挑戰實驗室之後， 即可取得技能徽章並與他人分享。
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
了解详情
完成使用 BigQuery ML 為預測模型進行資料工程技能徽章中階課程， 即可證明自己具備下列知識與技能：運用 Dataprep by Trifacta 建構連至 BigQuery 的資料轉換 pipeline； 使用 Cloud Storage、Dataflow 和 BigQuery 建構「擷取、轉換及載入」(ETL) 工作負載， 以及使用 BigQuery ML 建構機器學習模型。
了解详情
This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. 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 the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
透過 BigQuery 建構資料倉儲
Earned May 30, 2024 EDT
從 BigQuery 資料取得深入分析結果
Earned May 23, 2024 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned May 20, 2024 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned May 17, 2024 EDT
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Apr 20, 2024 EDT
以串流方式將分析資料傳入 BigQuery
Earned Apr 7, 2024 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Oct 14, 2023 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jan 18, 2022 EST
使用 BigQuery ML 為預測模型進行資料工程
Earned Jan 17, 2022 EST
[DEPRECATED] Data Engineering
Earned Jan 14, 2022 EST