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Purendeeswar Reddy

成为会员时间：2025

钻石联赛

14993 积分
Deploy Gemini Enterprise with Workspace Data Sources and Model Armor Earned May 19, 2026 EDT
Google Cloud 上的 AI 和机器学习简介 Earned May 17, 2026 EDT
基准：基础架构 Earned May 17, 2026 EDT
Data Migration Tool Earned May 13, 2026 EDT
Google Cloud 数据工程简介 Earned May 13, 2026 EDT
在 Google Cloud 上实施云安全基础措施 Earned May 11, 2026 EDT
为 Looker 信息中心和报告准备数据 Earned May 11, 2026 EDT
从 BigQuery 数据中挖掘数据洞见 Earned May 11, 2026 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results Earned Apr 12, 2026 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service Earned Apr 10, 2026 EDT
Model evaluation on Vertex AI Earned Apr 9, 2026 EDT
Vertex AI Agent Builder Overview Earned Mar 18, 2026 EDT
Implement RAG with Vertex AI Earned Mar 18, 2026 EDT
使用智能体开发套件 (ADK) 打造您的首个智能体 Earned Feb 19, 2026 EST
使用智能体开发套件 (ADK) 打造智能体 Earned Feb 19, 2026 EST
AI 智能体简介 Earned Feb 19, 2026 EST
Google Cloud: Prompt Engineering Guide Earned Feb 16, 2026 EST
Plan Change Management for Gemini Enterprise Deployments Earned Jan 24, 2026 EST
智能体基础知识 Earned Jan 18, 2026 EST
AI Boost Bites: Poke Holes in Your Strategy Earned Jan 17, 2026 EST
AI Boost Bites: NotebookLM for Competitive Edge Earned Jan 17, 2026 EST
AI Boost Bites: Personalization with customized prompts Earned Jan 17, 2026 EST
AI Boost Bites: TL;DR with Gemini in Docs & Drive Earned Jan 17, 2026 EST
AI Boost Bites: Prompting like a Pro with Google Workspace Earned Jan 17, 2026 EST
Vertex AI Search for Commerce Earned Sep 5, 2025 EDT
在 BigQuery 中使用 Gemini 模型 Earned Aug 26, 2025 EDT
使用 BigQuery 创建嵌入、向量搜索和 RAG Earned Aug 26, 2025 EDT
使用 Gemini in BigQuery 提高效率 Earned Aug 10, 2025 EDT
Text Prompt Engineering Techniques Earned Aug 8, 2025 EDT
Vertex AI Studio 简介 Earned Aug 6, 2025 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则 Earned Aug 4, 2025 EDT
Generative AI for Business Leaders Earned Aug 1, 2025 EDT
Generative AI Fundamentals Earned Jul 31, 2025 EDT
负责任的 AI 简介 Earned Jul 31, 2025 EDT

In this challenge lab, you act as a Security Engineer deploying a secure Gemini Enterprise environment for Cymbal Bank. You will ground Gemini in web search and internal Workspace sources to ensure accurate, contextual responses. To maintain compliance, you will configure Model Armor policies to filter sensitive data and block threats like prompt injections and malicious URLs. Finally, you will manage specific end-user features to customize the AI experience safely

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本课程介绍 Google Cloud 的 AI 和机器学习 (ML) 能力，重点讲解如何开发生成式和预测式 AI 项目。本课程将探讨“数据到 AI”全生命周期中的多种技术、产品和工具，并通过互动练习帮助数据科学家、AI 开发者和机器学习工程师提升专业能力。

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如果您是一位入门级云开发者， 在学习了“Google Cloud 基础知识”课程之后，想要寻求真正的实操机会，这门课程就是您的不二之选。您将获得宝贵的实操经验， 通过多个实验深入探索 Cloud Storage 以及 Monitoring 和 Cloud Functions 等其他关键应用服务。您将掌握一系列宝贵技能， 在 Google Cloud 的任何计划中，这些技能都能发挥作用。

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This workload aims to upskill Google Cloud partners to perform specific tasks associated with migrating from an Enterprise Data Warehouse (EDW) to BigQuery using the DMT tool and sample data. Learners will complete a lab that uses the DMT tool to transfer schema and data from Teradata to BigQuery.

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在本课程中，您将了解 Google Cloud 数据工程、数据工程师的角色和职责，以及相关的 Google Cloud 产品和服务。您还将了解如何应对数据工程挑战。

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完成在 Google Cloud 上实施云安全基础措施技能徽章中级课程， 展示自己在以下方面的技能：使用 Identity and Access Management (IAM) 创建和分配角色； 创建和管理服务账号；跨虚拟私有云 (VPC) 网络实现专用连接； 使用 Identity-Aware Proxy 限制应用访问权限； 使用 Cloud Key Management Service (KMS) 管理密钥和加密数据；创建专用 Kubernetes 集群。

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完成为 Looker 信息中心和报告准备数据入门级技能徽章课程， 展现您在以下方面的技能：对数据进行过滤、排序和透视；将来自不同 Looker 探索的结果合并； 以及使用函数和运算符构建 Looker 信息中心和报告以用于数据分析和可视化。

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完成入门级技能徽章课程“从 BigQuery 数据中挖掘数据洞见”，展示您在以下方面的技能： 编写 SQL 查询、查询公共表、将示例数据加载到 BigQuery 中、 在 BigQuery 中使用查询验证器排查常见的语法错误，以及通过连接到 BigQuery 数据在 Data Studio 中 创建报告。

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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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Evaluation is important at every step of your Gen AI development process. In this course you will learn how to evaluate gen AI agents built using agent frameworks.

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This course delves into the complexities of assessing the quality of large language model outputs. It examines the challenges enterprises face due to the subjective and sometimes incorrect nature of LLM responses, including hallucinations and inconsistent results. The course introduces various evaluation metrics for different tasks like classification, text generation, and question answering, such as Accuracy, Precision, Recall, F1 score, ROUGE, BLEU, and Exact Match. It also explores evaluation methods offered by Vertex AI LLM Evaluation Services, including computation-based, autorater, and human evaluation, providing insights into their application and benefits. Finally, the module covers how to unit test LLM applications within Vertex AI.

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In this course, you will learn about Vertex AI Agent Builder and determine the need for it. You will focus on the opportunity around Generative Artificial Intelligence (Gen AI) agents. You will learn what an agent is and how it helps customers transform businesses. You will identify the key challenges in operationalizing and productionizing agents. You will also learn about the value proposition of Vertex AI Agent Builder, how to identify the right customer use cases, and review the guidelines for selling the application.

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Learn how to build your own Retrieval-Augmented Generation (RAG) solutions for greater control and flexibility than out-of-the-box implementations. Create a custom RAG solution using Vertex AI APIs, vector stores, and the LangChain framework.

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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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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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Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.

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This course will guide you through designing customer engagements that result in successful, well-utilized Gemini Enterprise deployments. Study the art of change management, how to identify and engage sponsors, recruit early adopters, help your customer identify and address cultural change challenges and skills gaps, and effectively deliver project communications. Additionally, learn how to support your customer to plan, offer, conduct, and evaluate end-user training, leverage partner resources, and create essential project documents.

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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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AI Boost Bites is a video series designed to help you leverage Google's AI tools in your daily work. Each episode, under 10 minutes, features a quick video demonstrating a real-world AI use case or topic. After the video, you'll get a challenge to apply what you've learned. It's an easy, interactive way to boost your AI skills and improve your productivity.

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This video will cover how to use NotebookLM to gather and analyze publicly available information, combine it with internal documents, and extract key competitive insights.

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This video covers how to personalize your Gemini results in Google Workspace. Learn to incorporate documents and research papers directly into your prompts using the "@" symbol to get more targeted and relevant AI output tailored to your needs.

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This video covers how you can use Gemini to summarize long documents in Google Workspace, so you can quickly get the information you need and save time. You'll learn how to use Gemini to summarize entire documents or just selected text, as well as how to use Gemini in Drive to summarize across multiple files.

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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 on-demand course provides partners the skills required to design, deploy, and monitor Vertail AI Search for Commerce solutions including retail search and recommendation AI for enterprise customers.

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本课程展示了如何在 BigQuery 中使用 AI/机器学习模型处理生成式 AI 任务。通过一个涉及客户关系管理的实际应用场景，您将学习到使用 Gemini 模型解决业务问题的工作流程。为了便于理解，本课程还将通过使用 SQL 查询和 Python 笔记本的编码解决方案提供分步指导。

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本课程探讨 BigQuery 中用于减轻 AI 幻觉的检索增强生成 (RAG) 解决方案。BigQuery 引入了 RAG 工作流，其中涵盖了创建嵌入、搜索向量空间和生成更优质的回答。本课程解释了这些步骤背后的概念原理，以及这些步骤在 BigQuery 中的实际实施过程。学完本课程后，学员将能够使用 BigQuery 和生成式 AI 模型（如 Gemini）以及嵌入模型来构建 RAG 流水线，以解决在具体情况下遇到的 AI 幻觉问题。

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此课程将探索如何使用 AI 功能套件 Gemini in BigQuery 为“数据到 AI”工作流提供助力。其中涉及到的功能包括数据探索和准备、代码生成和问题排查，以及工作流发现和可视化。此课程包含概念解释、真实使用场景以及实操实验等内容，可帮助数据从业者提升效率并加快流水线开发速度。

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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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本课程介绍 Vertex AI Studio，这是一种用于与生成式 AI 模型交互、围绕业务创意进行原型设计并在生产环境中落地的工具。通过沉浸式应用场景、富有吸引力的课程和实操实验，您将探索从提示到产品的整个生命周期，了解如何将 Vertex AI Studio 用于多模态 Gemini 应用、提示设计、提示工程和模型调优。本课程的目的在于帮助您利用 Vertex AI Studio，在自己的项目中充分发掘生成式 AI 的潜力。

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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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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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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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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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