Preparing for your Professional Data Engineer Journey
Earned Feb 7, 2024 EST
Getting Started With Application Development
Earned Jan 31, 2024 EST
注意力機制
Earned Jan 22, 2024 EST
圖像生成簡介
Earned Jan 22, 2024 EST
Google Cloud 基礎知識：核心基礎架構
Earned Jan 16, 2024 EST
Developing a Google SRE Culture
Earned Jan 15, 2024 EST
Preparing for your Professional Cloud Architect Journey
Earned Dec 31, 2023 EST
Generative AI Fundamentals - 繁體中文
Earned Aug 31, 2023 EDT
負責任的 AI 技術簡介
Earned Aug 31, 2023 EDT
大型語言模型簡介
Earned Aug 31, 2023 EDT
生成式 AI 簡介
Earned Aug 31, 2023 EDT
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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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.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
This is the first course of the Developing Applications with Google Cloud series. After completing this course, enroll in the Securing and Integrating Components of your Application course.
本課程將介紹擴散模型，這是一種機器學習模型，近期在圖像生成領域展現亮眼潛力。概念源自物理學，尤其深受熱力學影響。過去幾年來，在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中，擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論，並說明如何在 Vertex AI 上訓練和部署這些模型。
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「Google Cloud 基礎知識：核心基礎架構」介紹了在使用 Google Cloud 時會遇到的重要概念和術語。本課程會透過影片和實作實驗室，介紹並比較 Google Cloud 的多種運算和儲存服務，同時提供重要的資源和政策管理工具。
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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This course helps learners create a study plan for the PCA (Professional Cloud Architect) 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.
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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。
生成式 AI 適用的機器學習運作 (MLOps)
Earned Mar 28, 2025 EDT
Preparing for your Professional Data Engineer Journey
Earned Feb 7, 2024 EST
Getting Started With Application Development
Earned Jan 31, 2024 EST
注意力機制
Earned Jan 22, 2024 EST
圖像生成簡介
Earned Jan 22, 2024 EST
Google Cloud 基礎知識：核心基礎架構
Earned Jan 16, 2024 EST
Developing a Google SRE Culture
Earned Jan 15, 2024 EST
Preparing for your Professional Cloud Architect Journey
Earned Dec 31, 2023 EST
Generative AI Fundamentals - 繁體中文
Earned Aug 31, 2023 EDT
負責任的 AI 技術簡介
Earned Aug 31, 2023 EDT
大型語言模型簡介
Earned Aug 31, 2023 EDT
生成式 AI 簡介
Earned Aug 31, 2023 EDT