Build and Deploy a Generative AI solution using a RAG framework
Earned Nov 19, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Nov 5, 2024 EST
Text Prompt Engineering Techniques
Earned Nov 5, 2024 EST
Data Warehousing for Partners: Enable Google Cloud Customers
Earned Apr 8, 2024 EDT
MySQL to Cloud SQL
Earned Mar 28, 2024 EDT
Document AI: Building a Custom Document Extractor
Earned Mar 18, 2024 EDT
为 Looker 信息中心和报告准备数据
Earned Aug 17, 2023 EDT
Cloud SQL
Earned Apr 7, 2023 EDT
创建和管理 Cloud Spanner 实例
Earned Apr 3, 2023 EDT
Google Cloud 基础知识：核心基础设施
Earned Mar 27, 2023 EDT
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.)
了解详情
AI Applications provides built-in analytics for your Vertex AI Search and Gemini Enterprise apps. Learn what metrics are tracked and how to view them in this course.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
了解详情
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。）
了解详情
在本课程中，您将学习如何使用 Google 智能体开发套件构建复杂的多智能体系统。您将构建搭载工具的智能体，利用父子层级关系和工作流进行连接，以此定义它们的交互方式。您将在本地运行智能体，将其部署到 Vertex AI Agent Engine 并作为托管式智能体流运行，基础设施决策和资源扩缩则由 Agent Engine 处理。请注意，这些实验基于此产品的预发布版本。在进行维护更新时，这些实验可能会出现一些延迟。
了解详情
Demonstrate your ability to implement updated prompt engineering techniques and utilize several of Gemini's key capacilities including multimodal understanding and function calling. Then integrate generative AI into a RAG application deployed to Cloud Run. This course contains labs that are to be used as a test environment. They are deployed to test your understanding as a learner with a limited scope. These technologies can be used with fewer limitations in a real world environment.
了解详情
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.
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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.
了解详情
This course discusses the key elements of Google's Data Warehouse solution portfolio and strategy.
了解详情
Migration from MySQL to Cloud SQL using Database Migration Service that includes sample mock data and all necessary steps with initial assessment to validation including taking care of migrating users and grants.
了解详情
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
Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
Introduction to AI Applications
Earned Aug 8, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned Jul 4, 2025 EDT
借助 Gemini Enterprise 加速知识交流
Earned Jun 27, 2025 EDT
使用智能体开发套件 (ADK) 和 Agent Engine 部署多智能体系统
Earned May 12, 2025 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned Nov 19, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Nov 5, 2024 EST
Text Prompt Engineering Techniques
Earned Nov 5, 2024 EST
Data Warehousing for Partners: Enable Google Cloud Customers
Earned Apr 8, 2024 EDT
MySQL to Cloud SQL
Earned Mar 28, 2024 EDT
Document AI: Building a Custom Document Extractor
Earned Mar 18, 2024 EDT
为 Looker 信息中心和报告准备数据
Earned Aug 17, 2023 EDT
Cloud SQL
Earned Apr 7, 2023 EDT
创建和管理 Cloud Spanner 实例
Earned Apr 3, 2023 EDT
Google Cloud 基础知识：核心基础设施
Earned Mar 27, 2023 EDT