[Deprecated] Virtual FAQ with data store agents
Earned Dec 20, 2025 EST
生成式 AI 代理：實現組織轉型
Earned Dec 20, 2025 EST
生成式 AI 應用程式：徹底改變工作方式
Earned Dec 17, 2025 EST
生成式 AI：掌握幕後技術與環境
Earned Dec 14, 2025 EST
生成式 AI：瞭解基礎概念
Earned Dec 13, 2025 EST
生成式 AI：不只是聊天機器人
Earned Dec 11, 2025 EST
Generative AI for Business Leaders
Earned Dec 10, 2025 EST
Introduction to Gemini Enterprise for Customer Experience
Earned Nov 27, 2025 EST
Conversational AI and its Engagement Framework
Earned Nov 21, 2025 EST
Selling the Platform & Building Client Trust
Earned Oct 13, 2024 EDT
Unlocking the Power of Google Cloud Generative AI for Partners
Earned Oct 12, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Oct 12, 2024 EDT
Text Prompt Engineering Techniques
Earned Oct 11, 2024 EDT
生成式 AI 簡介
Earned Oct 10, 2024 EDT
In this course, you will learn how to develop a generative agent capable of answering questions from websites, documents, and/or unstructured data.
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「生成式 AI 代理：實現組織轉型」是 Gen AI Leader 學習路徑的第五堂也是最後一堂課程。本課程將探討組織如何運用自訂生成式 AI 代理，解決特定的業務難題。您將動手練習建構基本的生成式 AI 代理，同時探索這類代理的各種元件，例如模型、推論迴圈和工具。
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「生成式 AI 應用程式：徹底改變工作方式」是 Generative AI Leader 學習路徑的第四門課程。本課程將介紹 Google 的生成式 AI 應用程式,例如 Gemini for Workspace 和NotebookLM,也會引導您瞭解各種概念,像是建立基準、檢索增強生成、建構有效的提示詞,以及打造自動化工作流程等。
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「生成式 AI：掌握幕後技術與環境」是 Generative AI Leader 學習路徑的第三門課程。生成式 AI 正在改變我們的工作方式,以及我們如何與周遭的世界互動。身為領導者,您要如何駕馭 AI 強大的功能,創造實際業務成果?在本課程中,您將認識建構生成式 AI 解決方案時的各個層面、Google Cloud 產品,以及選擇解決方案時應考量的因素。
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「生成式 AI: 瞭解基礎概念」是 Generative AI Leader 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 的基礎概念。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。
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「生成式 AI：不只是聊天機器人」是 Generative AI Leader 學習路徑的第一門課程,沒有任何修課條件。本課程將帶您超越基本知識,進一步瞭解聊天機器人,探索如何在組織中充分發揮生成式 AI 的潛力。您將瞭解基礎模型和提示工程等概念,掌握善用生成式AI 的關鍵。本課程也會帶您瞭解擬定生成式 AI 策略時的多種重要考量,協助您為組織擬定出成功的策略。
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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
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This course explores the different products and capabilities of Gemini Enterprise for Customer Experience, including CX Agent Studio, Agent Assist and CX Insights. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.
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Transform your understanding of customer service with this course on the Customer Engagement Suite (CES) and its powerful generative AI capabilities. You'll start by tracing the journey of contact centers, understanding how they've evolved and where gen AI is propelling them next. Then, you'll gain a deep understanding of the core building blocks within the CES solution, seeing how each component contributes to delivering exceptional customer experiences. The course concludes by exploring the robust business case for CES, along with practical use cases and the various user personas that benefit from this innovative solution.
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This course is for Partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities, learn to identify high-impact use cases, and develop the skills to demonstrate and integrate these technologies seamlessly into client solutions and operations.
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This course is for Partner sellers and technical pre-sales engineers to gain a comprehensive understanding of Google Cloud's cutting-edge Generative AI capabilities and learn to identify high-impact use cases.
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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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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。
[Deprecated] Virtual FAQ with data store agents
Earned Dec 20, 2025 EST
生成式 AI 代理：實現組織轉型
Earned Dec 20, 2025 EST
生成式 AI 應用程式：徹底改變工作方式
Earned Dec 17, 2025 EST
生成式 AI：掌握幕後技術與環境
Earned Dec 14, 2025 EST
生成式 AI：瞭解基礎概念
Earned Dec 13, 2025 EST
生成式 AI：不只是聊天機器人
Earned Dec 11, 2025 EST
Generative AI for Business Leaders
Earned Dec 10, 2025 EST
Introduction to Gemini Enterprise for Customer Experience
Earned Nov 27, 2025 EST
Conversational AI and its Engagement Framework
Earned Nov 21, 2025 EST
Selling the Platform & Building Client Trust
Earned Oct 13, 2024 EDT
Unlocking the Power of Google Cloud Generative AI for Partners
Earned Oct 12, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Oct 12, 2024 EDT
Text Prompt Engineering Techniques
Earned Oct 11, 2024 EDT
生成式 AI 簡介
Earned Oct 10, 2024 EDT