Manage Data Models in Looker
Earned May 29, 2025 EDT
Looker Basics - Developer
Earned May 28, 2025 EDT
Preparing for your Professional Data Engineer Journey
Earned Apr 9, 2025 EDT
Predictive Modeling in BigQuery
Earned Mar 28, 2025 EDT
BigQuery for Data Warehousing II
Earned Mar 27, 2025 EDT
生成式 AI 適用的機器學習運作 (MLOps)
Earned Jun 4, 2024 EDT
透過 Vertex AI 建構及部署機器學習解決方案
Earned Mar 6, 2024 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Jan 31, 2024 EST
Machine Learning Operations (MLOps): Getting Started
Earned Nov 28, 2023 EST
Vertex AI Studio 簡介
Earned Nov 6, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Aug 17, 2023 EDT
Generative AI Fundamentals - 繁體中文
Earned Aug 14, 2023 EDT
負責任的 AI 技術簡介
Earned Aug 13, 2023 EDT
大型語言模型簡介
Earned Aug 13, 2023 EDT
生成式 AI 簡介
Earned Jun 22, 2023 EDT
Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
了解详情
Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
了解详情
Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
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本課程旨在提供必要的知識和工具，協助您探索機器學習運作團隊在部署及管理生成式 AI 模型時面臨的獨特挑戰，並瞭解 Vertex AI 如何幫 AI 團隊簡化機器學習運作程序，打造成效非凡的生成式 AI 專案。
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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。
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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。
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
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本課程會介紹 Vertex AI Studio。您可以運用這項工具和生成式 AI 模型互動、根據商業構想設計原型，並投入到正式環境。透過身歷其境的應用實例、有趣的課程及實作實驗室，您將能探索從提示到正式環境的生命週期，同時學習如何將 Vertex AI Studio 運用在多模態版 Gemini 應用程式、提示設計、提示工程和模型調整。這個課程的目標是讓您能運用 Vertex AI Studio，在專案中發揮生成式 AI 的潛能。
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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.
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完成「Introduction to Generative AI」、「Introduction to Large Language Models」和「Introduction to Responsible AI」課程，即可獲得技能徽章。通過最終測驗，就能展現您對生成式 AI 基本概念的掌握程度。
「技能徽章」是 Google Cloud 核發的數位徽章，用於表彰您對 Google Cloud 產品和服務的相關知識。您可以將技能徽章公布在社群媒體的個人資料中，向其他人分享您的成果。
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這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
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這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
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這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
Manage Data Models in Looker
Earned May 29, 2025 EDT
Looker Basics - Developer
Earned May 28, 2025 EDT
Preparing for your Professional Data Engineer Journey
Earned Apr 9, 2025 EDT
Predictive Modeling in BigQuery
Earned Mar 28, 2025 EDT
BigQuery for Data Warehousing II
Earned Mar 27, 2025 EDT
生成式 AI 適用的機器學習運作 (MLOps)
Earned Jun 4, 2024 EDT
透過 Vertex AI 建構及部署機器學習解決方案
Earned Mar 6, 2024 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Jan 31, 2024 EST
Machine Learning Operations (MLOps): Getting Started
Earned Nov 28, 2023 EST
Vertex AI Studio 簡介
Earned Nov 6, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Aug 17, 2023 EDT
Generative AI Fundamentals - 繁體中文
Earned Aug 14, 2023 EDT
負責任的 AI 技術簡介
Earned Aug 13, 2023 EDT
大型語言模型簡介
Earned Aug 13, 2023 EDT
生成式 AI 簡介
Earned Jun 22, 2023 EDT