Working with Notebooks in Vertex AI
Earned Nov 11, 2025 EST
Machine Learning Operations (MLOps): Getting Started
Earned Nov 11, 2025 EST
生成式 AI 簡介
Earned Nov 8, 2025 EST
生成式 AI 適用的機器學習運作 (MLOps)
Earned Nov 5, 2025 EST
大型語言模型簡介
Earned Nov 5, 2025 EST
Professional Machine Learning Engineer Study Guide
Earned Nov 5, 2025 EST
Data Storage Quiz: Store and Manage My Data Efficiently
Earned Aug 6, 2025 EDT
Scalability Quiz: Make My Application Scalable and Reliable
Earned Aug 6, 2025 EDT
Data Insights Quiz: Analyze My Data to Gain Insights
Earned Aug 6, 2025 EDT
Application Developer Quizathon
Earned Aug 1, 2024 EDT
Data Professional Quizathon
Earned Nov 14, 2023 EST
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。 「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熟技能， 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 本課程及結業評量挑戰實驗室，即可取得技能徽章 並與他人分享。
了解详情
完成 在 Vertex AI 設計提示 技能徽章入門課程，即可證明您具備下列技能： 在 Vertex AI 設計提示、分析圖片，以及運用多模態模型生成內容。瞭解如何建立有效的提示、引導生成式 AI 輸出內容， 以及將 Gemini 模型用於實際的行銷情境。
This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.
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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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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。
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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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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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This course helps learners create a study plan for the PMLE (Professional Machine Learning 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
Google の様々なストレージやデータベースの選択肢を活用すれば、多様なデータや処理（ワークロード）を効率よく管理できます。
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Google の頑丈なインフラと自動でオートスケーリング機能があれば、あなたのアプリケーションはアクセスが急に増えても問題なく動き続け、いつでも利用可能です。
了解详情
Google のスケーラブルな分析ツールを活用すれば、情報の処理、保管、可視化を通じて、データから価値あるインサイトを引き出すことができます。
了解详情
Welcome to the Quizathon! Check your Application Development expertise.
了解详情
Welcome to the Quizathon! Check your database expertise in Google Cloud.
運用 BigQuery ML 建立機器學習模型
Earned Nov 13, 2025 EST
在 Vertex AI 設計提示
Earned Nov 13, 2025 EST
從 BigQuery 資料取得深入分析結果
Earned Nov 12, 2025 EST
Working with Notebooks in Vertex AI
Earned Nov 11, 2025 EST
Machine Learning Operations (MLOps): Getting Started
Earned Nov 11, 2025 EST
生成式 AI 簡介
Earned Nov 8, 2025 EST
生成式 AI 適用的機器學習運作 (MLOps)
Earned Nov 5, 2025 EST
大型語言模型簡介
Earned Nov 5, 2025 EST
Professional Machine Learning Engineer Study Guide
Earned Nov 5, 2025 EST
Data Storage Quiz: Store and Manage My Data Efficiently
Earned Aug 6, 2025 EDT
Scalability Quiz: Make My Application Scalable and Reliable
Earned Aug 6, 2025 EDT
Data Insights Quiz: Analyze My Data to Gain Insights
Earned Aug 6, 2025 EDT
Application Developer Quizathon
Earned Aug 1, 2024 EDT
Data Professional Quizathon
Earned Nov 14, 2023 EST