「生成式 AI:瞭解基礎概念」是生成式 AI 領導者學習路徑的第二門課程。在本課程中,您將瞭解 AI、機器學習和生成式 AI 的差異,以及各種資料類型如何協助生成式 AI 解決業務難題,進而掌握生成式 AI 的基本概念。您還能深入瞭解 Google Cloud 應對基礎模型限制的策略,以及開發、部署安全且負責任的 AI 技術時面臨的主要挑戰。



What you'll learn
定義並說明生成式 AI 的核心概念。
說明生成式 AI 如何運用各種資料類型解決業務問題、推動創新,以及取得競爭優勢。
說明基礎模型在生成式 AI 中的作用,包括功能和限制。
說明 Google Cloud 針對 LLM 限制所建議的處理策略。
Skills you'll gain
Details to know

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October 2025
3 assignments
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There are 4 modules in this course
本單元將介紹生成式 AI 的重要概念和差異,重點說明資料與 AI 模型效能之間的關係。此外,本單元也會區分機器學習的幾種類型,並提供各類型的 Google Cloud 應用實例。
What's included
1 assignment5 plugins
本單元將說明生成式 AI 如何運用各種資料類型來促進創新、解決業務問題,以及建立競爭優勢。
What's included
1 assignment3 plugins
本單元將說明基礎模型在生成式 AI 中的功能、潛力和限制。
What's included
1 assignment2 plugins
本單元提供課程複習資源。
What's included
1 reading
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Frequently asked questions
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