Custom Search with Embeddings in Vertex AI
Earned Jul 3, 2024 EDT
使用 Vertex AI 中的 Gemini API 探索生成式 AI
Earned Jul 1, 2024 EDT
Improving developer velocity with Gemini Code Assist
Earned Jun 30, 2024 EDT
Document AI: Building a Custom Document Extractor
Earned Jun 30, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Jun 30, 2024 EDT
Text Prompt Engineering Techniques
Earned Jun 30, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned Jun 29, 2024 EDT
矢量搜索和嵌入
Earned Jun 29, 2024 EDT
Implementing Generative AI with Vertex AI
Earned Jun 29, 2024 EDT
创建图片标注模型
Earned Jun 29, 2024 EDT
Transformer 模型和 BERT 模型
Earned Jun 29, 2024 EDT
编码器-解码器架构
Earned Jun 29, 2024 EDT
注意力机制
Earned Jun 29, 2024 EDT
Vertex AI Studio 简介
Earned Jan 24, 2024 EST
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Jan 24, 2024 EST
Generative AI Fundamentals
Earned Jan 24, 2024 EST
负责任的 AI 简介
Earned Jan 23, 2024 EST
大型语言模型简介
Earned Jan 23, 2024 EST
生成式 AI 简介
Earned Oct 31, 2023 EDT
完成借助 Firebase 开发无服务器应用技能徽章中级课程， 展示您在以下方面的技能：借助 Firebase 设计无服务器 Web 应用架构以及构建无服务器 Web 应用； 利用 Firestore 管理数据库；利用 Cloud Build 自动完成部署流程； 以及将 Google 助理功能集成到您的应用中。 技能徽章 是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；您需要在 交互式实操环境中参加考核，证明自己运用所学知识的能力后才能获得。完成此技能 徽章课程和作为最终评估的实验室挑战赛，获得技能徽章， 在您的人际圈中炫出自己的技能。
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完成中级技能徽章课程通过 BigQuery ML 创建机器学习模型，展示您在以下方面的技能： 使用 BigQuery ML 创建和评估机器学习模型，以执行数据预测。 技能徽章是由 Google Cloud 颁发的专属数字徽章，旨在认可 您在 Google Cloud 产品与服务方面的熟练度；您需要在 交互式实操环境中参加考核，证明自己运用所学知识的能力后才能获得此徽章。完成此技能 徽章课程和作为最终评估的实验室挑战赛，即可获得技能徽章， 在您的人际圈中炫出自己的技能。
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完成中级技能徽章课程利用 BigQuery ML 构建预测模型时的数据工程处理， 展示自己在以下方面的技能：利用 Dataprep by Trifacta 构建 BigQuery 数据转换流水线； 利用 Cloud Storage、Dataflow 和 BigQuery 构建提取、转换和加载 (ETL) 工作流； 以及利用 BigQuery ML 构建机器学习模型。 技能徽章是由 Google Cloud 颁发的专属数字徽章，旨在认可 您对 Google Cloud 产品与服务的熟练度；您需要在 交互式实操环境中参加考核，证明自己运用所学知识的能力后才能获得此徽章。完成技能徽章课程和 作为最终评估的实验室挑战赛，即可获得数字徽章， 在您的人际圈中炫出自己的技能。
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Complete the intermediate Manage Data Models in Looker skill badge to demonstrate skills in the following: maintaining LookML project health; utilizing SQL runner for data validation; employing LookML best practices; optimizing queries and reports for performance; and implementing persistent derived tables and caching policies. 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 this skill badge course, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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完成中级技能徽章课程使用 BigQuery 构建数据仓库，展示以下技能： 联接数据以创建新表、排查联接故障、使用并集附加数据、创建日期分区表， 以及在 BigQuery 中使用 JSON、数组和结构体。 技能徽章是 Google Cloud 颁发的专属数字徽章， 旨在认可您在 Google Cloud 产品与服务方面的熟练度； 您需要在交互式实操环境中参加考核，证明自己运用所学知识的能力后 才能获得。完成此技能徽章课程和作为最终评估的实验室挑战赛， 获得数字徽章，在您的人际圈中炫出自己的技能。
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This skill badge aims to provide partners an introduction to BigQuery Data Transfer Service and Migration Service, two powerful tools for managing and migrating data in the cloud. Learners will learn how to leverage these tools to efficiently migrate and manage data, and gain hands-on experience through labs.
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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
This course explores Google Cloud technologies to create and generate embeddings. Embeddings are numerical representations of text, images, video and audio, and play a pivotal role in many tasks that involve the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions. Specifically, you’ll use embeddings for tasks like classification, outlier detection, clustering and semantic search.
You’ll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) systems and question-answering solutions, on your own proprietary data using Google Cloud’s Vertex AI.
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完成中级技能徽章课程使用 Vertex AI 中的 Gemini API 探索生成式 AI，展示自己在以下方面的技能： 文本生成技能、用于增强内容创作能力的图像和视频分析技能，以及在 Gemini API 中应用函数调用技术的技能。 了解如何运用先进的 Gemini 技术、探索多模态内容生成方法，并扩展 AI 赋能项目的功能。 技能徽章通过动手实验和挑战赛形式的评估，检验您对特定产品的实际知识 掌握情况。完成课程即可获得徽章，也可直接参加 实验室挑战赛，快速获得徽章。徽章可证明您掌握技能的熟练程度、 提升您的专业形象，最终助您获得更多职业机会。 欢迎访问您的个人资料 并跟踪您已获得的徽章。
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Learn how Gemini can revolutionize your ability to develop applications! This course helps developers go beyond the basics and learn how to integrate Gemini into their workflows.
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This workload aims to upskill Google Cloud partners to perform specific tasks associated with building a Custom Doc Extractor using the Google Cloud AI solution. The following will be addressed:
Service: Document AI
Task: Extract fields
Processors: Custom Document Extractor and Document Splitter
Prediction: Using Endpoint to programmatically extract fields
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(This course was previously named Multimodal Prompt Engineering with Gemini and PaLM) This course teaches how to use Vertex AI Studio, a Google Cloud console tool for rapidly prototyping and testing generative AI models. You learn to test sample prompts, design your own prompts, and customize foundation models to handle tasks that meet your application's needs. Whether you are looking for text, chat, code, image or speech generative experiences Vertex AI Studio offers you an interface to work with and APIs to integrate your production application.
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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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In this course, you'll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You'll combine semantic search with the text generation capabilities of an LLM to build Retrieval Augmented Generation (RAG) solutions, such as for question-answering systems, using Google Cloud's Vertex AI and Google Cloud databases.
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在本次课程中，探索 AI 赋能的搜索技术、工具和应用。学习利用向量嵌入的语义搜索、融合语义和关键字的混合搜索方法，以及检索增强生成 (RAG) 技术，以打造基于事实的 AI 智能体，尽可能减少 AI 幻觉。获取 Vertex AI Vector Search 实战经验，打造您自己的智能搜索引擎。
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This course will help ML Engineers, Developers, and Data Scientists implement Large Language Models for Generative AI use cases with Vertex AI. The first two modules of this course contain links to videos and prerequisite course materials that will build your knowledge foundation in Generative AI. Please do not skip these modules. The advanced modules in this course assume you have completed these earlier modules.
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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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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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。
借助 Firebase 开发无服务器应用
Earned Jul 20, 2024 EDT
通过 BigQuery ML 创建机器学习模型
Earned Jul 20, 2024 EDT
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Jul 20, 2024 EDT
Manage Data Models in Looker
Earned Jul 20, 2024 EDT
使用 BigQuery 构建数据仓库
Earned Jul 18, 2024 EDT
Automate Data Migrations to BigQuery
Earned Jul 18, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Jul 4, 2024 EDT
使用多模态 Gemini 和多模态 RAG 检查富文档
Earned Jul 3, 2024 EDT
Custom Search with Embeddings in Vertex AI
Earned Jul 3, 2024 EDT
使用 Vertex AI 中的 Gemini API 探索生成式 AI
Earned Jul 1, 2024 EDT
Improving developer velocity with Gemini Code Assist
Earned Jun 30, 2024 EDT
Document AI: Building a Custom Document Extractor
Earned Jun 30, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Jun 30, 2024 EDT
Text Prompt Engineering Techniques
Earned Jun 30, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned Jun 29, 2024 EDT
矢量搜索和嵌入
Earned Jun 29, 2024 EDT
Implementing Generative AI with Vertex AI
Earned Jun 29, 2024 EDT
创建图片标注模型
Earned Jun 29, 2024 EDT
Transformer 模型和 BERT 模型
Earned Jun 29, 2024 EDT
编码器-解码器架构
Earned Jun 29, 2024 EDT
注意力机制
Earned Jun 29, 2024 EDT
Vertex AI Studio 简介
Earned Jan 24, 2024 EST
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Jan 24, 2024 EST
Generative AI Fundamentals
Earned Jan 24, 2024 EST
负责任的 AI 简介
Earned Jan 23, 2024 EST
大型语言模型简介
Earned Jan 23, 2024 EST
生成式 AI 简介
Earned Oct 31, 2023 EDT