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Maradana Himatej

成为会员时间:2026

黄金联赛

16230 积分
管理智能体记忆和状态 Earned May 27, 2026 EDT
利用工具为智能体注入强大功能 Earned May 27, 2026 EDT
优化智能体行为 Earned May 27, 2026 EDT
使用智能体开发套件 (ADK) 打造您的首个智能体 Earned May 27, 2026 EDT
使用智能体开发套件 (ADK) 打造智能体 Earned May 27, 2026 EDT
在 Agent Platform 中设计提示 Earned May 27, 2026 EDT
探索生成式 AI - Agent Platform Earned May 27, 2026 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则 Earned May 26, 2026 EDT
负责任的 AI 简介 Earned May 26, 2026 EDT
大型语言模型简介 Earned May 26, 2026 EDT
生成式 AI 简介 Earned May 26, 2026 EDT
云计算安全原则简介 Earned May 26, 2026 EDT
Google DeepMind: 01 Build Your Own Small Language Model Earned May 26, 2026 EDT
AI Boost Bites: Create the Perfect Portrait Earned May 21, 2026 EDT
AI Boost Bites: Become a "Vibe DJ" Earned May 19, 2026 EDT
AI Boost Bites: Animated Charts with Gemini Earned May 18, 2026 EDT
AI Boost Bites: AI Magic in a Sheets Cell Earned May 18, 2026 EDT
生成式 AI 智能体:助力组织转型 Earned May 18, 2026 EDT
生成式 AI 应用:改变工作方式 Earned May 18, 2026 EDT
生成式 AI: 全面了解生成式 AI Earned May 18, 2026 EDT
云端数据管理和存储 Earned May 18, 2026 EDT
AI Boost Bites: Create ‘What If’ Scenarios with AI Earned May 17, 2026 EDT
AI Boost Bites: Gemini Slide Summaries Earned May 16, 2026 EDT
AI Boost Bites: NotebookLM Video Overviews Earned May 15, 2026 EDT
AI Boost Bites: NotebookLM Mind Maps Earned May 14, 2026 EDT
Arcade Base Camp May 2026 Earned May 12, 2026 EDT
AI Boost Bites: Email Content Creation Earned May 12, 2026 EDT
AI Boost Bites: Streamline Event Planning with AI Earned May 11, 2026 EDT
AI Boost Bites: Build an AI Support Bot Earned May 11, 2026 EDT
AI Boost Bites: Build Your AI Strategic Partner Earned May 10, 2026 EDT
AI Boost Bites: Build a Custom AI Teammate Earned May 9, 2026 EDT
AI Boost Bites: Your Personal AI Study Partner Earned May 9, 2026 EDT
打造您的首个 Gemini Enterprise 应用 Earned May 8, 2026 EDT
企业智能体及其应用场景 Earned May 8, 2026 EDT
智能体基础知识 Earned May 8, 2026 EDT
AI 智能体简介 Earned May 8, 2026 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace Earned May 8, 2026 EDT
AI Boost Bites: Intro to NotebookLM Earned May 8, 2026 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack Earned May 8, 2026 EDT
AI Boost Bites: Tame Your Inbox with AI Earned May 8, 2026 EDT
AI Boost Bites: AI Power-Ups for Google Workspace Earned May 8, 2026 EDT
AI Boost Bites: Your Personal Feedback Agent Earned May 8, 2026 EDT
Google Cloud 云计算基础知识 Earned May 8, 2026 EDT
AI Boost Bites: Amplify Exec Voices with AI Earned May 7, 2026 EDT
部署多智能体架构 Earned May 7, 2026 EDT
Deploy Your First Agent Earned May 7, 2026 EDT
在生产环境中构建和部署智能体 Earned May 7, 2026 EDT
使用智能体开发套件 (ADK) 构建 AI 智能体 Earned Apr 24, 2026 EDT
Google Cloud 数据分析功能简介 Earned Mar 26, 2026 EDT
生成式 AI:剖析基本概念 Earned Mar 11, 2026 EDT
生成式 AI:不只是聊天机器人 Earned Mar 11, 2026 EDT

您已经构建了能够回答查询的基本 LLM 智能体,现在让我们为其赋予状态。使用会话状态来构建能够维护上下文、记住用户偏好并提供个性化体验的智能体。将智能体从“无状态的回复者”转变为“智能助理”。

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您已经构建了具有高级配置的智能体,现在可赋予它们实际应用能力。为智能体配备能够搜索网络、执行代码、查询数据库和执行自定义操作的工具。让智能体从“智能回答者”转变为能够自主采取行动的得力助手。

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您已经创建了自己的第一个智能体,现在是时候更进一步了。在本课程中,您将通过学习应用高级指令、模型选择、规划功能以及结构化输出模式来精进技能,将基础 AI 智能体升级为一个精确、专业的智能助理。加入社区论坛,提出问题并参与讨论

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使用 Google 的智能体开发套件 (ADK) 构建、配置和运行您的第一个 AI 智能体,将您对智能体的理解转化为实际应用。 在本实操课程中,您将设置一个完整的 ADK 开发环境,使用 Python 代码和 YAML 配置两种方式创建智能体,并通过多个界面运行智能体。您还将学习定义智能体行为的核心参数,将您在课程 1 中学到的知识应用到实际代码中。

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了解如何使用智能体开发套件 (ADK) 构建可用于生产用途的复杂 AI 智能体。本课程介绍了 ADK 的开源框架,助力开发者从简单的提示工程跨越到代码优先的结构化软件开发方法,从而构建企业级多智能体系统。

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完成 在 Agent Platform 中设计提示入门技能徽章课程,展示以下方面的技能: Agent Platform 中的提示工程、图片分析和多模态生成式技术。探索如何编写有效的提示,指导生成式 AI 输出, 以及将 Gemini 模型应用于真实的营销场景。

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探索生成式 AI - Agent Platform”课程包含一系列实验, 指导用户在 Google Cloud 平台上使用生成式 AI。通过这些实验,您将了解 如何在 Agent Platform 中使用 Gemini 模型。您还将了解提示设计、最佳实践, 以及如何使用生成式 AI 进行构思、文本分类、文本提取、文本摘要等。此外, 您将学习如何通过 Agent Platform 中的自定义训练来训练基础模型, 从而对其进行调优,以及如何将其部署到 Agent Platform 中的端点。

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随着企业对人工智能和机器学习的应用越来越广泛,以负责任的方式构建这些技术也变得更加重要。但对很多企业而言,真正践行 Responsible AI 并非易事。如果您有意了解如何在组织内践行 Responsible AI,本课程正适合您。 本课程将介绍 Google Cloud 目前如何践行 Responsible AI,以及从中总结的最佳实践和经验教训,便于您以此为框架构建自己的 Responsible AI 方法。

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这是一节入门级微课程,旨在解释什么是负责任的 AI、它的重要性,以及 Google 如何在自己的产品中实现负责任的 AI。此外,本课程还介绍了 Google 的 7 个 AI 开发原则。

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这是一节入门级微学习课程,探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能,还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。

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这是一节入门级微课程,旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。

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本课程是 Google Cloud 网络安全认证证书的第一门课,该证书共包括五门课程。本课程将带您了解网络安全的基础知识,包括安全生命周期、数字化转型以及核心云计算概念。您将识别初级云安全分析师常用的自动化工具。

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In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level understanding of the machine learning development pipeline. You will consider the strengths and limitations of traditional n-gram models and advanced transformer models. Practical coding labs will enable you to develop insights into how machine learning models work and how they can be used to generate text and identify patterns in language. Through real-world case studies, you will build an understanding around how research engineers operate. Drawing on these insights you will identify problems that you wish to tackle in your own community and consider how to leverage the power of machine learning responsibly to address these problems within a global and local context.

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In this video, you'll learn to create imaginative portraits in the Gemini app that maintain your likeness. You'll see how to use the "Subject, Action, Scene, Style" formula for better prompts, transport yourself into a vintage photo, and combine a photo of yourself and your dog into one new image.

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In this video, you'll learn to build a working music synthesizer using a simple text prompt in Gemini Canvas. You'll see how to specify controls like waveform, attack, and sustain, and then interact with the generated instrument to create and experiment with your own unique sounds.

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In this video, you'll learn to create an animated bar chart race using Gemini Canvas. You'll see how to write a prompt to visualize data over time and then use a follow-up prompt to refine the animation, such as slowing it down for a presentation.

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In this video, you'll learn to use the =AI() function in Google Sheets to automate your work. You'll see how to generate text like slogans, summarize paragraphs of customer feedback, and categorize data by classifying inquiries and analyzing sentiment.

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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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本课程是 Google Cloud 数据分析认证计划的第二门课程(共五门)。在本课程中,您将探索数据的结构形式和组织方式。您将获得数据湖仓一体架构和云组件(如 BigQuery、Google Cloud Storage 和 DataProc)的实操经验,以便高效地存储、分析和处理大型数据集。

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In this video, you'll learn to create "what if" scenarios using AI's reasoning. You'll see how to set a "before" scene with a person holding a cake, prompt an action by asking "what would happen if they tripped?", and let the AI generate the plausible "after" image of the cake falling.

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This video covers how to use Gemini in Slides to automatically generate meeting recaps and draft follow-up emails, which can streamline your post-meeting workflow and save you time.

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This video covers how to use the Video Overviews feature in NotebookLM to automatically generate a short explainer video based on your source documents.

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This video covers how to use the Mind Maps feature in NotebookLM to automatically create a visual representation of your sources, helping you understand connections and key concepts.

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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!

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This video covers how to use Gemini in Gmail to draft new emails, refine their tone, respond with context from Drive files, and use smart reply suggestions.

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In this video, you'll learn to use an AI assistant to streamline large-scale event planning. You'll see how to prompt an AI to brainstorm off-site ideas, create fair groups for icebreakers, build a shuttle schedule based on arrival times, and analyze survey feedback for gains and losses.

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In this video, you'll learn to build a first-line-of-defense AI for support operations. Master the art of uploading diverse sources, setting secure "Chat only" permissions, and customizing the AI to help your team diagnose issues in a fraction of the time.

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In this video, you'll learn to build a custom Gemini Gem that acts as your personal executive advisor. Master the art of defining instructions and uploading "knowledge" files to create a partner that helps you strategize and lead with confidence.

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In this video, you'll learn to customize NotebookLM to fit specific business needs. Master the art of defining personas—from "Help Center Assistant" to "Sales Advisor"—to turn your documents into interactive tools that answer questions, teach concepts, and role-play scenarios.

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In this video, you'll learn to use NotebookLM as your personal AI study partner. Master the art of converting dense documentation into smart study guides, flashcards, and quizzes to ramp up quickly on new policies and industry research.

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打造您的首个 Gemini Enterprise 应用,赢得技能徽章!将各种数据源连接到您的应用中,构建强大、统一的搜索和分析引擎。掌握进阶能力,如:深度研究型智能体、多智能体协同构思,以及用于进行聚焦式分析的 NotebookLM。

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了解 AI 智能体如何为业务带来实际影响。您将把智能体类型关联到您的关键绩效指标 (KPI),并探索能够解决实际瓶颈的用例。然后,您将了解 Gemini Enterprise 如何帮助您构建和编排合适的智能体,其范围涵盖从无代码到高代码的各种解决方案。

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AI 智能体代表着超越传统大语言模型 (LLM) 的重大转变:AI 智能体不再仅仅只是生成基于文本的解决方案,更能自主行动来执行这些方案。 本课程将介绍 AI 智能体的基础知识、AI 智能体与 LLM API 的区别,以及 AI 智能体在现实世界中的价值所在。本课程基于 Google 的智能体白皮书,将为您提供必要的理论基础知识,以助您编写首行智能体代码 — 非常适合希望从自主、目标导向行为(而不仅仅是文本生成)的角度理解 AI 系统的开发者、架构师和技术决策者。 加入社区论坛,提出问题并参与讨论。

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大致了解 AI 智能体的概念。了解 AI 智能体如何通过自主行动和推理来解决复杂问题。您将探索技术架构(模型、工具和编排),该架构使智能体能够学习、规划,并为您实现目标。

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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.

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This video covers how to use NotebookLM as a personal research assistant by adding sources, asking questions, and generating new content formats based on your documents.

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This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!

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This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.

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This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.

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This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.

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完成Google Cloud 云计算基础知识挑战任务,赢取技能徽章。 您将学习如何在 Compute Engine 中使用虚拟机 (VM)、永久性 磁盘和 Web 服务器。

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This video will cover how to leverage Gemini Gems to create authentic social media posts in your leader's unique voice. Learn to overcome the challenge of scaling executive social presence by training a Gem with writing samples and clear instructions. Discover how to generate engaging posts quickly, saving time while amplifying thought leadership and ensuring authenticity.

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完成部署多智能体架构这一高级技能徽章课程,展示您在以下方面的技能: 使用 ADK 构建多智能体系统;通过 Agent-to-Agent (A2A) protocol 连接智能体, 通过 Model Context Protocol (MCP) 集成外部工具,并将完整的多智能体解决方案部署到 Agent Engine。

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Take your agents from localhost to production. This course teaches you to deploy ADK agents to Vertex AI Agent Engine and Cloud Run, with optional cross-session memory via Memory Bank.

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探索如何使用 Google 的智能体开发套件 (ADK) 和 Google Cloud 强大的基础设施来构建和部署多智能体系统。您将学习如何设计分层智能体树和确定性工作流智能体,同时确定理想的托管环境(从无服务器 Cloud Run 到高性能 GKE),以确保您的 AI 智能体安全、可伸缩且可用于生产用途。

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完成本课程,赢取使用智能体开发套件 (ADK) 构建 AI 智能体中级技能徽章,展示您在以下方面的技能: 提出实际的语言模型研究问题;构建一个简单的词元化器;制作用于训练 Transformer 语言模型的数据集;运行小语言模型的训练循环。

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本课程是 Google Cloud 数据分析认证的第一门课程(共五门)。在本课程中,您将认识云数据分析领域,并了解云数据分析师在数据获取、存储、处理和可视化方面的角色和职责。您将探索 BigQuery 和 Cloud Storage 等基于 Google Cloud 的工具的架构,以及如何使用这些工具有效地设计数据结构,以及展示和报告数据。

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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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“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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