加入 登录

Gourav Kumar

成为会员时间：2024

青铜联赛

10320 积分
Create and maintain Vertex AI Search data stores Earned Nov 11, 2025 EST
Create Data Stores for Gen AI Applications Earned Nov 11, 2025 EST
在 Looker 中应用高级 LookML 概念 Earned Nov 3, 2025 EST
Delivery Shadowing Earned Oct 31, 2025 EDT
Case Studies Earned Oct 31, 2025 EDT
Technology + Beyond the UI Earned Oct 31, 2025 EDT
Technology + Within the UI Earned Oct 31, 2025 EDT
Table Calculations, Pivots, and Visualizations Earned Oct 30, 2025 EDT
Building Reports in Looker Earned Oct 30, 2025 EDT
Liquid Templates and Parameters Earned Oct 30, 2025 EDT
Extends to Keep LookML DRY Earned Oct 30, 2025 EDT
Admin Roles and Folder Access Earned Oct 30, 2025 EDT
Version Control and Caching Earned Oct 30, 2025 EDT
The Modern Data Platform and LookML Earned Oct 28, 2025 EDT
Driving Data Culture and Designing Dashboards Earned Oct 27, 2025 EDT
Achieving Business Outcomes with Looker Earned Oct 27, 2025 EDT
Looker Explained Earned Oct 27, 2025 EDT
生成式 AI 智能体：助力组织转型 Earned Oct 14, 2025 EDT
生成式 AI 应用：改变工作方式 Earned Oct 13, 2025 EDT
生成式 AI: 全面了解生成式 AI Earned Oct 13, 2025 EDT
生成式 AI：剖析基本概念 Earned Sep 17, 2025 EDT
生成式 AI：不只是聊天机器人 Earned Sep 4, 2025 EDT

Complete the Create and maintain Vertex AI Search data stores skill badge to demonstrate your proficiency in building various types of data stores used in Vertex AI 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!

了解详情

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.

了解详情

在本课程中，您将获得在 Looker 中应用高级 LookML 概念 的实践经验。您将学习如何使用 Liquid 自定义和创建动态 维度和测量、创建动态 SQL 派生表和自定义原生 派生表，并运用扩展功能来模块化你的 LookML 代码

了解详情

In this course, you shadow a series of client meetings led by a Looker Professional Services Consultant.

了解详情

By the end of this course, you should feel confident employing technical concepts to fulfill business requirements and be familiar with common complex design patterns.

了解详情

In this course you will discover additional tools for your toolbox for working with complex deployments, building robust solutions, and delivering even more value.

了解详情

Develop technical skills beyond LookML along with basic administration for optimizing Looker instances

了解详情

This course reviews the processes for creating table calculations, pivots and visualizations

了解详情

This course is designed for Looker users who want to create their own ad-hoc reports. It assumes experience of everything covered in our Get Started with Looker course (logging in, finding Looks & dashboards, adjusting filters, and sending data)

了解详情

In this course you will discover Liquid, the templating language invented by Shopify and explore how it can be used in Looker to create dynamic links, content, formatting, and more.

了解详情

Hands on course covering the main uses of extends and the three primary LookML objects extends are used on as well as some advanced usage of extends.

了解详情

This course is designed to teach you about roles, permission sets and model sets. These are areas that are used together to manage what users can do and what they can see in Looker.

了解详情

This course aims to introduce you to the basic concepts of Git: what it is and how it's used in Looker. You will also develop an in-depth knowledge of the caching process on the Looker platform, such as why they are used and why they work

了解详情

This course provides an introduction to databases and summarized the differences in the main database technologies. This course will also introduce you to Looker and how Looker scales as a modern data platform. In the lessons, you will build and maintain standard Looker data models and establish the foundation necessary to learn Looker's more advanced features.

了解详情

This course provides an iterative approach to plan, build, launch, and grow a modern, scalable, mature analytics ecosystem and data culture in an organization that consistently achieves established business outcomes. Users will also learn how to design and build a useful, easy-to-use dashboard in Looker. It assumes experience with everything covered in our Getting Started with Looker and Building Reports in Looker courses.

了解详情

In this course, we’ll show you how organizations are aligning their BI strategy to most effectively achieve business outcomes with Looker. We'll follow four iterative steps: Plan, Build, Launch, Grow, and provide resources to take into your own services delivery to build Looker with the goal of achieving business outcomes.

了解详情

By the end of this course, you should be able to articulate Looker's value propositions and what makes it different from other analytics tools in the market. You should also be able to explain how Looker works, and explain the standard components of successful service delivery.

了解详情

“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。

了解详情

“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。

了解详情

“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。

了解详情

“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。

了解详情

“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。

了解详情