Custom Search with Embeddings in Vertex AI
Earned Apr 11, 2024 EDT
创建图片标注模型
Earned Apr 11, 2024 EDT
编码器-解码器架构
Earned Apr 5, 2024 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned Apr 3, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Mar 29, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Mar 27, 2024 EDT
矢量搜索和嵌入
Earned Mar 24, 2024 EDT
Implementing Generative AI with Vertex AI
Earned Mar 23, 2024 EDT
Generative AI for Business Leaders
Earned Feb 12, 2024 EST
Introduction to CES and Conversational Agents
Earned Feb 9, 2024 EST
图像生成简介
Earned Dec 13, 2023 EST
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Dec 13, 2023 EST
Generative AI Fundamentals - 简体中文
Earned Dec 12, 2023 EST
负责任的 AI 简介
Earned Dec 12, 2023 EST
生成式 AI 简介
Earned Dec 12, 2023 EST
Transformer 模型和 BERT 模型
Earned Jun 16, 2023 EDT
注意力机制
Earned Jun 16, 2023 EDT
Contact Center AI: Conversational Design Fundamentals
Earned Jun 15, 2023 EDT
大型语言模型简介
Earned Jun 14, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned Sep 20, 2022 EDT
How Google Does Machine Learning
Earned Jun 30, 2022 EDT
DEPRECATED Create Conversational AI Agents with Dialogflow CX
Earned Apr 4, 2022 EDT
云工程
Earned Nov 5, 2021 EDT
Google Cloud Essentials
Earned Sep 9, 2021 EDT
在 Google Cloud 上为机器学习 API 准备数据
Earned Aug 30, 2021 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Aug 20, 2021 EDT
Customer Experiences with Contact Center AI
Earned May 13, 2021 EDT
Complete the Analyze patterns in conversational data with Conversational Insights skill badge to demonstrate your proficiency in analysing customer conversations with Conversational Insights. After completing this challenge, you will be ready to deploy Conversation Insights to improve customer service performance, and create better customer experiences.
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
In this course you will learn how to leverage Conversational Insights to uncover hidden information from your contact center data to increase operational efficiency and drive data-driven business decisions. Please note Contact Center AI Insights were recently renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product name for Contact Center AI Insights.
了解详情
This course will equip you with the tools to develop complex conversational experiences in Conversational Agents using best practices to create production-ready agents.
了解详情
Complete the Leverage best practices for developing, operating, and securing production-grade Conversational Agents skill badge to demonstrate your ability to implement a variety of best practices around development, deployment, and security. These will include: Using versions and environments, backing up with Git integration, leveraging test cases and CI/CD testing, tracking conversations with conversation history and logging, redacting data, and securing acceess to agent and webhook endpoints.
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 develope…
了解详情
Complete the Improve customer and agent satisfaction with Agent Assist skill badge to demonstrate your proficiency in configuring basic conversational agents that can escalate actions to human agents, and configuring Agent Assist to help human agents with customer queries. You prove your knowledge in configuring Generators for summarization, classification and recommendation of tickets as well leverage tools such as Generative Knowledge Assist, to provide further context to human agents.
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
In this course you will learn how Conversational AI Agent Assist can help distill complex customer interactions into concise and clear summaries. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
了解详情
In this course you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the voice channel, as well as the options available for integration with other platforms in the Conversational AI ecosystem.
了解详情
In this course you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the chat channel.
了解详情
In this course, you will learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents. Please note Dialogflow CX was recently renamed to Conversational Agents and this course is in the process of being updated to reflect the new product name for Dialogflow CX.
了解详情
This course explores the fundamentals of the feedback loop process for Conversational Agent development and introduces the native capabilities within Conversational Agents that support it. You will also learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents.
了解详情
Complete the Extend agent functionality with Webhooks, Tools, and Integrations skill badge to demonstrate your ability to let conversational agents take actions. You will create a flow that calls a webhook and a playbook with a tool and combine them into a hybrid agent. You'll also prepare custom payload for rich content experiences in the Conversational Messenger.
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
Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.
了解详情
Connect Conversational Agents to external systems and APIs to expand what agents can do, designing an end-to-end system that is resilient, fault-tolerant and secure.
了解详情
Complete the Build basic Conversational Agents with Playbooks and Flows skill badge to demonstrate your proficiency in building virtual agents using traditional NLU and generative-based features.
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
In this course, you'll learn to develop generative agents that answer questions using websites, documents, or structured data. You will explore Vertex AI Applications and understand the advantages of data store agents, including their scalability and security.
You'll learn about different data store types and also discover how to connect data stores to agents and add personalization for enhanced responses.
Finally, you'll gain insights into common search configurations and troubleshooting techniques.
了解详情
Explore the Generative AI features for Conversational Agents and how to incorporate them into stateful Flows.
Discover the possibilities with Generators, Generative Fallback, and Data Stores, as well as best practices and security settings for using these features.
了解详情
Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to use them to create conversational agents.
了解详情
Explore Playbooks and their implementation of the ReAct pattern for building Conversational Agents. You will learn how to construct a Playbook, set up goals and instructions to build a chatbot in natural language, and learn to test and deploy your solution.
了解详情
This course explores the best practices, methods and tools to programmatically lead CCAI virtual agent delivery. It includes a high level overview of the end to end journey for building and deploying a virtual agent, as well as the core tenets to create a strong delivery culture. Additionally, this course covers the best practices for workflow management, defect tracking, release management and post-release support to ensure optimal virtual agent performance.
了解详情
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
In this skill badge, you will demonstrate your ability to deploy Google Agentspace and set up data stores and actions. To learn these skills, we encourage you to take the course Accelerate Knowledge Exchange with Agentspace.
了解详情
Agentspace 结合了 Google 在搜索和 AI 领域的专长。它是一款企业工具，让员工只需通过一个搜索栏，就能从文档库、电子邮件、聊天消息、工单系统及其他数据源中查找具体信息。Agentspace 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。
了解详情
Demonstrate the ability to create and deploy generative virtual agents with natural language using Vertex AI Agent Builder and augment responses by integrating Gemini responses with third party APIs and your own data stores
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Gemini
Cloud Functions
了解详情
Demonstrate the ability to create and deploy deterministic virtual agents using Dialgflow CX and augment responses by grounding results on your own data integrating with Vertex AI Agent Builder data stores and leveraging Gemini for summarizations.
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Dialogflow CX
Gemini
了解详情
“Google Cloud 基础知识：核心基础设施”介绍在使用 Google Cloud 时会遇到的重要概念和术语。本课程通过视频和实操实验来介绍并比较 Google Cloud 的多种计算和存储服务，并提供重要的资源和政策管理工具。
了解详情
In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions. Please note Dialogflow CX was recently renamed to Conversational Agents and CCAI Insights was renamed to Conversational Insights.
了解详情
This is an introductory course to all solutions in the Conversational AI portfolio and the Gen AI features that are available to transform them. The course also explores the business case around Conversational AI, and the use cases and user personas addressed by the solution. Please note Dialogflow CX was recently renamed to Conversational Agents and this course is in the process of being updated to reflect the new product name for Dialogflow CX.
了解详情
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.
了解详情
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.
This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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.
了解详情
(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.
了解详情
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。
了解详情
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.
了解详情
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.
了解详情
This course explores the different products and capabilities of Customer Engagement Suite (CES) and Conversational agents. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
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。
Welcome to "CCAI Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to design customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will be introduced to CCAI and its three pillars (Dialogflow, Agent Assist, and Insights), and the concepts behind conversational experiences and how the study of them influences the design of your virtual agent. After taking this course you will be prepared to take your virtual agent design to the next level of intelligent conversation.
了解详情
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。
了解详情
Welcome to "Virtual Agent Development in Dialogflow CX for Citizen Devs", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations using Dialogflow CX.
了解详情
This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
了解详情
Earn a skill badge by completing the Create Conversational AI Agents with Dialogflow CX quest, where you will learn how to create a conversational virtual agent, including how to: define intents and entities, use versions and environments, create conversational branching, and use IVR features. 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 quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
了解详情
在众多课程中，本入门课程独具特色。 这些实验经过精心设计，旨在让 IT 专业人员通过实践掌握 Google Cloud 认证 Associate Cloud Engineer 考核中的各项主题和服务内容。从 IAM 到网络组建和管理， 再到 Kubernetes Engine 部署，本课程将通过特定实验 检验您的 Google Cloud 知识掌握情况。请注意，虽然这些实操 实验有助于提升您的技能和能力，我们仍建议您同时查阅 考试指南和其他可用的备考资源。
了解详情
在此入门级挑战任务中，您可以使用 Google Cloud Platform 的基本工具和服务，开展真枪实弹的操作实训。“GCP 基本功能”是我们为 Google Cloud 学员推荐的第一项挑战任务。云知识储备微乎其微甚至零基础？不用担心！这项挑战任务会为您提供真枪实弹的实操经验，助您快速上手 GCP 项目。无论是要编写 Cloud Shell 命令还是部署您的第一台虚拟机，亦或是通过负载平衡机制或在 Kubernetes Engine 上运行应用，都可以通过“GCP 基本功能”了解该平台的基本功能之精要。点此观看 1 分钟视频，了解每个实验涉及的主要概念。
了解详情
完成入门级技能徽章课程在 Google Cloud 上为机器学习 API 准备数据，展示以下技能： 使用 Dataprep by Trifacta 清理数据、在 Dataflow 中运行数据流水线、在 Dataproc 中创建集群和运行 Apache Spark 作业，以及调用机器学习 API，包括 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。 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。
了解详情
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
了解详情
Learn how to design, develop, and deploy customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You'll also learn some best practices for integrating conversational solutions with your existing contact center software, establishing a framework for human agent assistance, and implementing solutions securely and at scale.
Analyze patterns in conversational data with Conversational Insights
Earned Aug 6, 2025 EDT
Conversational Insights
Earned Aug 6, 2025 EDT
Build Production-Ready Conversational Agents
Earned Aug 6, 2025 EDT
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned Aug 6, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned Aug 5, 2025 EDT
Agent Summarization (Custom)
Earned Aug 5, 2025 EDT
Integrate Agent Assist with Telephony and Chatbot Systems
Earned Aug 5, 2025 EDT
Introduction to Agent Assist and its GenAI Capabilities
Earned Aug 5, 2025 EDT
Advanced Performance Measurement
Earned Jun 23, 2025 EDT
Performance Measurement
Earned Jun 23, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Jun 19, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned Jun 19, 2025 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned Jun 18, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Jun 17, 2025 EDT
Virtual FAQ with data store agents
Earned Jun 17, 2025 EDT
Incorporate Generative Features into Conversational Agent flows
Earned Jun 16, 2025 EDT
Stateful Flows
Earned Jun 16, 2025 EDT
Generative Playbooks
Earned Jun 13, 2025 EDT
DFCX Virtual Agent Delivery Framework
Earned Mar 24, 2025 EDT
Text Prompt Engineering Techniques
Earned Mar 16, 2025 EDT
Deploy Google Agentspace
Earned Mar 11, 2025 EDT
借助 Agentspace 加速知识交流
Earned Mar 11, 2025 EDT
Build generative virtual agents with API integrations
Earned Jan 19, 2025 EST
Build deterministic Virtual Agent enhanced with data stores
Earned Jan 19, 2025 EST
Google Cloud 基础知识：核心基础设施
Earned Jan 8, 2025 EST
Customer Engagement Suite with Google AI Architecture
Earned Nov 18, 2024 EST
Intro to Conversational AI and Conversational AI Engagement Framework
Earned Oct 30, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned Apr 23, 2024 EDT
Custom Search with Embeddings in Vertex AI
Earned Apr 11, 2024 EDT
创建图片标注模型
Earned Apr 11, 2024 EDT
编码器-解码器架构
Earned Apr 5, 2024 EDT
Preparing for Your Associate Cloud Engineer Journey
Earned Apr 3, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Mar 29, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Mar 27, 2024 EDT
矢量搜索和嵌入
Earned Mar 24, 2024 EDT
Implementing Generative AI with Vertex AI
Earned Mar 23, 2024 EDT
Generative AI for Business Leaders
Earned Feb 12, 2024 EST
Introduction to CES and Conversational Agents
Earned Feb 9, 2024 EST
图像生成简介
Earned Dec 13, 2023 EST
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Dec 13, 2023 EST
Generative AI Fundamentals - 简体中文
Earned Dec 12, 2023 EST
负责任的 AI 简介
Earned Dec 12, 2023 EST
生成式 AI 简介
Earned Dec 12, 2023 EST
Transformer 模型和 BERT 模型
Earned Jun 16, 2023 EDT
注意力机制
Earned Jun 16, 2023 EDT
Contact Center AI: Conversational Design Fundamentals
Earned Jun 15, 2023 EDT
大型语言模型简介
Earned Jun 14, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned Sep 20, 2022 EDT
How Google Does Machine Learning
Earned Jun 30, 2022 EDT
DEPRECATED Create Conversational AI Agents with Dialogflow CX
Earned Apr 4, 2022 EDT
云工程
Earned Nov 5, 2021 EDT
Google Cloud Essentials
Earned Sep 9, 2021 EDT
在 Google Cloud 上为机器学习 API 准备数据
Earned Aug 30, 2021 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Aug 20, 2021 EDT
Customer Experiences with Contact Center AI
Earned May 13, 2021 EDT