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Bessie Li

成为会员时间：2022

白银联赛

7100 积分
Agent Search UI configurations on Agent Platform Earned Apr 15, 2026 EDT
AI Boost Bites: Shareable Gems Earned Apr 7, 2026 EDT
AI Boost Bites: Gemini Gems – Your ultimate marketing sidekick Earned Apr 7, 2026 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results Earned Apr 5, 2026 EDT
Agent Summarization (Custom) Earned Apr 5, 2026 EDT
Add Agents to Gemini Enterprise Earned Apr 5, 2026 EDT
Generative AI Fundamentals Earned Feb 1, 2026 EST
生成式 AI 智能体：助力组织转型 Earned Feb 1, 2026 EST
生成式 AI 应用：改变工作方式 Earned Jan 30, 2026 EST
生成式 AI: 全面了解生成式 AI Earned Jan 30, 2026 EST
生成式 AI：剖析基本概念 Earned Jan 27, 2026 EST
使用智能体开发套件 (ADK) 和 Agent Engine 部署多智能体系统 Earned Nov 14, 2025 EST
Extend Gemini Enterprise Assistant Capabilities Earned Nov 2, 2025 EST
Introduction to AI Applications Earned Oct 26, 2025 EDT
生成式 AI：不只是聊天机器人 Earned Oct 11, 2025 EDT
Model Armor：保障 AI 部署安全 Earned Sep 28, 2025 EDT
Create Data Stores for Gen AI Applications Earned Aug 18, 2025 EDT

Initial deployment of Agent Search and Gemini Enterprise apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience. In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Gemini Enterprise apps.

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This video covers how to use the "Share" feature in Gemini to distribute custom Gems to teammates, managing permissions and file access to scale expertise across your organization.

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This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.

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If you've worked with data, you know that some data is more reliable than other data. In this course, you'll learn a variety of techniques to present the most reliable or useful results to your users. Create serving controls to boost or bury search results. Rank search results to ensure that each query is answered by the most relevant data. If needed, tune your search engine. Learn to measure search results to ensure your search applications deliver the best possible results to each user. (Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)

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In this course you will learn how Conversational AI Agent Assist can help distill complex customer interactions into concise and clear summaries. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.

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In this challenge lab, you will demonstrate your ability to add agents to a Gemini Enterprise app. You will build an agent with Agent Designer. And you will build a no-code agent with Agent Development Kit, deploy it to Agent Engine, and add it to the Gemini Enterprise app.

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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI. A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.

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“生成式 AI 智能体：助力组织转型”是“Gen AI Leader”学习路线中的第五门课程，也是最后一门课程。本课程探讨了组织如何使用量身定制的生成式 AI 智能体，帮助应对特定的业务挑战。您将亲自动手构建一个基本的生成式 AI 智能体，并探索这些智能体的组成部分，例如模型、推理循环以及各种工具。

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“生成式 AI 应用：改变工作方式”是 Generative AI Leader 学习路线的第四门课程。本课程介绍 Google 的生成式 AI 应用，例如 Gemini for Workspace 和 NotebookLM。它将引导您逐一了解接地、检索增强生成、构建有效提示和构建自动化工作流等概念。

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“生成式 AI: 全面了解生成式 AI”是 Generative AI Leader 学习路线中的第三门课程。生成式 AI 正在改变我们的工作方式,以及我们与周围世界的互动方式。作为领导者,应该如何利用生成式 AI 来推动实现实际的业务成果?在本课程中,您将探索构建生成式 AI 解决方案的不同层级、Google Cloud 的产品,以及选择解决方案时需要考虑的因素。

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“生成式 AI: 剖析基本概念”是 Generative AI Leader 学习路线中的第二门课程。在本课程中,您将了解生成式 AI 的基本概念。您要探索 AI、机器学习和生成式 AI 之间的区别,了解各种数据类型如何赋能生成式 AI,从而应对各种业务挑战。您还将深入了解 Google Cloud 应对基础模型局限性的策略,以及负责任和安全的 AI 开发与部署面临着哪些关键挑战。

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在本课程中，您将学习如何使用 Google 智能体开发套件构建复杂的多智能体系统。您将构建搭载工具的智能体，利用父子层级关系和工作流进行连接，以此定义它们的交互方式。您将在本地运行智能体，将其部署到 Vertex AI Agent Engine 并作为托管式智能体流运行，基础设施决策和资源扩缩则由 Agent Engine 处理。请注意，这些实验基于此产品的预发布版本。在进行维护更新时，这些实验可能会出现一些延迟。

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Complete the Extend Gemini Enterprise Assistant Capabilities skill badge to demonstrate your ability to extend Gemini Enterprise assistant's capabilities with actions, grounding with Google Search, and a conversational agent. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the assessment challenge lab, to receive a skill badge that you can share with your network. When you complete this course, you can earn the badge displayed here and claim it on Credly! Boost your cloud career by showing the world the skills you have developed!

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This course introduces AI Applications. You will learn about the types of apps that you can create using AI Applications, the high-level steps that its data stores automate for you, and what advanced features can be enabled for Search apps. (Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)

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“生成式 AI：不只是聊天机器人”是 Generative AI Leader 学习路线中的第一门课程。学习本课程没有知识门槛。本课程旨在帮助您超越对聊天机器人的基本认知,探索生成式 AI技术为您的组织带来的真正潜力。您将探索基础模型和提示工程等概念,这些知识对利用生成式 AI 的强大功能至关重要。本课程还将说明,为组织制定成功的生成式 AI 策略时,需要考虑哪些重要因素。

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本课程回顾了 Model Armor 的基本安全功能，并让您能够使用该服务。您将了解与 LLM 相关的安全风险，以及 Model Armor 如何保护您的 AI 应用。

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Data stores represent a simple way to make content available to many types of generative AI applications, including search applications, recommendations engines, Gemini Enterprise apps, Agent Development Kit agents, and apps built with Google Gen AI or LangChain SDKs. Connect data from many sources include Cloud Storage, Google Drive, chat apps, mail apps, ticketing systems, third-party file storage providers, Salesforce, and many more.

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