Ashish Mishra
成为会员时间：2022
白银联赛
4212 积分
Build search and recommendations applications with AI Applications
Earned Dec 18, 2025 EST
Introduction to AI Applications
Earned Dec 17, 2025 EST
Configure and optimize Agent Search
Earned Dec 17, 2025 EST
Improve Agent Search findings on Gemini platform
Earned Dec 16, 2025 EST
Agent Search Analytics on Gemini platform
Earned Dec 15, 2025 EST
Agent Search UI configurations on Agent Platform
Earned Dec 15, 2025 EST
Create and maintain Agent Search data stores
Earned Dec 11, 2025 EST
Create Data Stores for Gen AI Applications
Earned Dec 10, 2025 EST
Extend Gemini Capabilities
Earned Dec 6, 2025 EST
[DEPRECATED] Introduction to NotebookLM
Earned Dec 5, 2025 EST
Create media search and media recommendations applications with AI Applications
Earned Dec 3, 2025 EST
[DEPRECATED] 借助 Gemini Enterprise 加速知识交流
Earned Dec 2, 2025 EST
借助 Google Cloud 人工智能进行创新
Earned May 14, 2025 EDT
Transformer 模型和 BERT 模型
Earned Oct 6, 2023 EDT
编码器-解码器架构
Earned Oct 6, 2023 EDT
注意力机制
Earned Oct 4, 2023 EDT
图像生成简介
Earned Oct 4, 2023 EDT
Generative AI Fundamentals - 简体中文
Earned Jul 19, 2023 EDT
负责任的 AI 简介
Earned Jul 19, 2023 EDT
大型语言模型简介
Earned Jul 19, 2023 EDT
生成式 AI 简介
Earned Jul 19, 2023 EDT
使用 Google Cloud Operations 进行扩缩
Earned Aug 3, 2022 EDT
使用 Google Cloud 进行基础设施和应用的现代化改造
Earned Aug 1, 2022 EDT
使用 Google Cloud 探索数据转换
Earned Jul 30, 2022 EDT
利用 Google Cloud 实现数字化转型
Earned Jul 29, 2022 EDT
Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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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Complete the Configure AI Applications to optimize search results skill badge to demonstrate your proficiency in configuring search results from AI Applications. You will be tasked with implementing search serving controls to boost and bury results, filter entries from search results and display metadata in your search interface.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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 covers techniques for boosting and filtering search results, as well as the implementation of meta tags for advanced search control.
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AI Applications provides built-in analytics for your Agent Search and Gemini. Learn what metrics are tracked and how to view them in this course.
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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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Complete the Create and maintain Agent Search data stores skill badge to demonstrate your proficiency in building various types of data stores used in Agent Search applications.
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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Data stores represent a simple way to make content available to many types of generative AI applications, including search applications, recommendations engines, Gemini platform apps, Agent Development Kit (ADK) in Gemini platform 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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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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NotebookLM is an AI-powered collaborator that helps you do your best thinking. After uploading your documents, NotebookLM becomes an instant expert in those sources so you can read, take notes, and collaborate with it to refine and organize your ideas.
NotebookLM Pro gives you everything already included with NotebookLM, as well as higher utilization limits, access to premium features, and additional sharing options and analytics.
了解详情
Complete the Create media search and media recommendations applications with AI Applications skill badge to demonstrate your ability to create, configure, and access media search and recommendations applications using AI Applications.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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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Gemini Enterprise 结合了 Google 在搜索和 AI 领域的专长。它是一款强大的工具，让员工只需通过一个搜索栏，就能从文档库、邮件、聊天消息、工单系统及其他数据源中查找具体信息。Gemini Enterprise 助理还能帮助进行头脑风暴、开展研究、生成文档大纲并执行其他操作，比如邀请同事参加某个日历活动。因此它能加快知识型工作的进度并提升协作效率。（请注意，Gemini Enterprise 以前称为 Google Agentspace，本课程中可能会提及以前的产品名称。）
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人工智能 (AI) 和机器学习 (ML) 代表着信息技术领域的重要演变，正在迅速改变各行各业。《利用 Google Cloud 人工智能进行创新》探讨了组织如何使用 AI 和机器学习来转变业务流程。
本课程是“Cloud Digital Leader 学习路线”的一部分，旨在帮助个人在自己的角色中不断成长，并为企业谋求未来发展。
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本课程向您介绍 Transformer 架构和 Bidirectional Encoder Representations from Transformers (BERT) 模型。您将了解 Transformer 架构的主要组成部分，例如自注意力机制，以及该架构如何用于构建 BERT 模型。您还将了解可以使用 BERT 的不同任务，例如文本分类、问答和自然语言推理。完成本课程估计需要大约 45 分钟。
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本课程简要介绍了编码器-解码器架构，这是一种功能强大且常见的机器学习架构，适用于机器翻译、文本摘要和问答等 sequence-to-sequence 任务。您将了解编码器-解码器架构的主要组成部分，以及如何训练和部署这些模型。在相应的实验演示中，您将在 TensorFlow 中从头编写简单的编码器-解码器架构实现代码，以用于诗歌生成。
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本课程将向您介绍注意力机制，这是一种强大的技术，可令神经网络专注于输入序列的特定部分。您将了解注意力的工作原理，以及如何使用它来提高各种机器学习任务的性能，包括机器翻译、文本摘要和问题解答。
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本课程向您介绍扩散模型。这类机器学习模型最近在图像生成领域展现出了巨大潜力。扩散模型的灵感来源于物理学，特别是热力学。过去几年内，扩散模型成为热门研究主题并在整个行业开始流行。Google Cloud 上许多先进的图像生成模型和工具都是以扩散模型为基础构建的。本课程向您介绍扩散模型背后的理论，以及如何在 Vertex AI 上训练和部署此类模型。
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完成 Introduction to Generative AI、Introduction to Large Language Models 和 Introduction to Responsible AI 三门课程，赢取技能徽章。通过最终测验，即表明您理解了生成式 AI 的基本概念。
技能徽章是由 Google Cloud 颁发的数字徽章，旨在认可您对 Google Cloud 产品与服务的了解程度。公开您的个人资料并将技能徽章添加到您的社交媒体个人资料中，以此来分享您获得的成就。
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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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各种规模的组织都在利用云的强大功能和灵活性来改变运营方式。然而，有效管理和扩缩云资源可能是一项复杂的任务。本课程探讨了云中现代运营、可靠性和弹性方面的基本概念，以及 Google Cloud 如何帮助支持这些工作。
作为 Cloud Digital Leader 学习路线的一部分，本课程旨在帮助个人在自己的岗位上成长，并为企业谋求未来发展。
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许多传统企业都在使用无法满足现代客户期望的旧式系统和应用。业务领导者往往需要在维护老旧的 IT 系统和投资新产品与服务之间做出选择。本课程探讨了这些挑战，并提供了利用云技术克服这些挑战的解决方案。
作为 Cloud Digital Leader 学习路线的一部分，本课程旨在帮助个人在工作中成长，并为企业打造美好未来。
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云技术是一项强大的资产，与数据相结合后，它将成为创新和提升客户体验的催化剂。《使用 Google Cloud 探索数据转换》课程探讨了组织如何利用云技术让数据更易于访问、更具实用价值和商业价值。
作为“Cloud Digital Leader 学习路线”的一部分，本课程旨在帮助个人提升职业素养，并为企业谋求未来发展。
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数字化转型是现代组织的必经之路，而扎实掌握云计算基础知识，是推动实质性创新的第一步。《利用 Google Cloud 实现数字化转型》课程将讲解核心技术与战略框架，助力组织实现运营现代化。本课程介绍关于云的基本概念、全球网络基础设施和责任共担模式，帮助领导者从容推进上云进程。
作为 Cloud Digital Leader 学习路线的一部分，本课程旨在帮助学员提升岗位能力，从而为企业打造美好未来。
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