Google Cloud
Generative AI Leader Specialization

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Google Cloud

Generative AI Leader Specialization

運用 Google Cloud 生成式 AI 重新設計工作流程. 概略認識生成式 AI,瞭解如何運用生成式 AI 和 Google Cloud 推動組織轉型

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4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 說明生成式 AI 如何改變不同產業和負責不同業務的組織。

  • 定義生成式 AI 的核心概念,包括人工智慧、生成式 AI 和機器學習 (監督式、非監督式、增強學習)。

  • 識別生成式 AI 幕後技術與環境的核心層級,包括基礎架構、模型、平台、代理、應用程式

  • 說明如何結合生成式 AI 代理的各項元件,打造強大的解決方案。

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Taught in Chinese (Traditional)
Recently updated!

December 2025

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Specialization - 5 course series

What you'll learn

  • 說明生成式 AI 如何改變各行各業的組織和業務職能。

  • 說明生成式 AI 如何運用基礎模型和提示工程創造價值。

  • 說明 Google Cloud 在生成式 AI 領域的獨特優勢。

  • 說明 Google Cloud 建議的步驟,協助企業成功導入顛覆性的生成式 AI 解決方案。

Skills you'll gain

Category: Generative AI
Category: Google Cloud Platform
Category: Prompt Engineering
Category: Responsible AI
Category: Artificial Intelligence
Category: LLM Application
Category: AI Product Strategy

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

Category: Artificial Intelligence
Category: AI Security
Category: Machine Learning
Category: Responsible AI
Category: Google Cloud Platform
Category: Data Quality
Category: Large Language Modeling
Category: Data Ethics
Category: Generative AI

What you'll learn

  • 說明生成式 AI 幕後技術與環境的各個層級,以及如何從各個切入點滿足特定業務需求,並推動創新。

  • 識別生成式 AI 幕後技術與環境的核心層級,包括基礎架構、模型、平台、代理、應用程式

  • 說明 Google Cloud 的 AI 最佳化基礎架構、資料中心和雲端運算平台如何支援生成式 AI 開發。

  • 說明決定特定應用程式要使用 Google Cloud 生成式 AI 產品組合的哪個部分時,應考量的業務因素。

Skills you'll gain

Category: Generative AI
Category: Google Cloud Platform
Category: Artificial Intelligence
Category: Cloud Infrastructure
Category: AI Workflows
Category: Data Ethics
Category: AI Product Strategy
Category: Innovation
Category: Data Centers
Category: Business Planning
Category: Responsible AI
Category: Gemini

What you'll learn

  • 說明多種提示工程的技巧,以及這些技巧如何提升成效。

  • 說明 Google 生成式 AI 應用程式的核心功能和商業價值。

  • 運用 Gem 和 NotebookLM 等工具開發自動化工作流程,提高個人和團隊的工作效率。

  • 運用基準建立技術,讓語言模型生成相關且準確的回覆。

Skills you'll gain

Category: Google Gemini
Category: Prompt Engineering
Category: Generative AI
Category: Enterprise Security
Category: Google Workspace
Category: Content Creation
Category: Model Evaluation
Category: Google Cloud Platform
Category: LLM Application
Category: AI Workflows
Category: Retrieval-Augmented Generation

What you'll learn

  • 說明生成式 AI 代理的元件定義,以及這些元件如何協同運作。

  • 說明如何結合生成式 AI 代理的各項元件,打造強大的解決方案。

  • 說明如何使用 Google Cloud 的生成式 AI 產品,建立生成式 AI 代理。

  • 說明如何使用生成式 AI 有效管理及領導組織轉型。

Skills you'll gain

Category: AI Enablement
Category: Generative AI
Category: Continuous Monitoring
Category: Generative AI Agents
Category: Retrieval-Augmented Generation
Category: Customer experience improvement
Category: Google Cloud Platform
Category: Prompt Engineering
Category: Strategic Leadership
Category: Business Transformation
Category: Innovation

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Google Cloud Training
Google Cloud
2,025 Courses3,784,170 learners

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