Build intelligent agents with Agent Development Kit (ADK)
Earned Sep 17, 2025 EDT
Extend Gemini Enterprise Assistant Capabilities
Earned Aug 14, 2025 EDT
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned Aug 13, 2025 EDT
Analyze patterns in conversational data with Customer Experience Insights
Earned Aug 2, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned Aug 2, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Jul 31, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned Jul 31, 2025 EDT
Configure AI Applications to optimize search results
Earned Jul 31, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned Jul 30, 2025 EDT
Build search and recommendations applications with AI Applications
Earned Jul 30, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Jul 28, 2025 EDT
Empower Gen AI Apps with Tool Use
Earned Jul 24, 2025 EDT
Deploy and Evaluate Model Garden Models
Earned Jul 22, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned Jul 22, 2025 EDT
Edit images with Imagen
Earned Jul 22, 2025 EDT
Evaluate Gen AI model and agent performance
Earned Jul 19, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Jul 15, 2025 EDT
生成式 AI: 全面了解生成式 AI
Earned Jun 26, 2025 EDT
生成式 AI：剖析基本概念
Earned Jun 26, 2025 EDT
生成式 AI：不只是聊天机器人
Earned Jun 23, 2025 EDT
Build generative virtual agents with API integrations
Earned Apr 2, 2025 EDT
Introduction to Gemini Enterprise for Customer Experience
Earned Apr 2, 2025 EDT
Orchestrate LLM solutions with LangChain
Earned Mar 6, 2025 EST
Deploy Google Agentspace
Earned Mar 5, 2025 EST
借助 Gemini Enterprise 加速知识交流
Earned Mar 5, 2025 EST
可靠的 Google Cloud 基础设施: 设计和流程
Earned Feb 12, 2025 EST
Developing a Google SRE Culture
Earned Feb 10, 2025 EST
Preparing for your Professional Cloud Architect Journey
Earned Feb 3, 2025 EST
Serverless Data Processing with Dataflow: Develop Pipelines
Earned Feb 3, 2025 EST
基准：基础架构
Earned Jan 4, 2025 EST
为 Looker 信息中心和报告准备数据
Earned Jan 4, 2025 EST
从 BigQuery 数据中挖掘数据洞见
Earned Jan 4, 2025 EST
Google Cloud 数据工程简介
Earned Dec 30, 2024 EST
CCAI Academy - Bot Building with Gen AI
Earned Dec 23, 2024 EST
在 Vertex AI 上构建和部署机器学习解决方案
Earned Nov 27, 2024 EST
Google Cloud 上的 AI 和机器学习简介
Earned Nov 18, 2024 EST
Customer Experience with Google AI Architecture
Earned Nov 11, 2024 EST
Generative AI for Business Leaders
Earned Oct 31, 2024 EDT
矢量搜索和嵌入
Earned Oct 30, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Oct 2, 2024 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned Sep 30, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Sep 21, 2024 EDT
Intro to CCAI and CCAI Engagement Framework
Earned Jun 12, 2024 EDT
Generative AI Fundamentals
Earned Jul 24, 2023 EDT
Generative AI Explorer : Vertex AI
Earned Jul 24, 2023 EDT
Text Prompt Engineering Techniques
Earned Jul 15, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Jul 15, 2023 EDT
编码器-解码器架构
Earned Jul 10, 2023 EDT
Transformer 模型和 BERT 模型
Earned Jul 10, 2023 EDT
探索生成式 AI - Vertex AI
Earned Jul 10, 2023 EDT
创建图片标注模型
Earned Jul 9, 2023 EDT
Vertex AI Studio 简介
Earned Jul 4, 2023 EDT
注意力机制
Earned Jul 4, 2023 EDT
图像生成简介
Earned Jul 4, 2023 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Jul 4, 2023 EDT
Generative AI Fundamentals - 简体中文
Earned Jul 3, 2023 EDT
负责任的 AI 简介
Earned Jul 3, 2023 EDT
大型语言模型简介
Earned Jun 30, 2023 EDT
生成式 AI 简介
Earned Jun 30, 2023 EDT
[DEPRECATED] Data Engineering
Earned Feb 5, 2023 EST
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Dec 21, 2022 EST
在 Google Cloud 上为机器学习 API 准备数据
Earned Dec 9, 2022 EST
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Nov 24, 2022 EST
Build Streaming Data Pipelines on Google Cloud
Earned Nov 11, 2022 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Oct 25, 2022 EDT
Google Cloud 弹性基础设施：扩缩和自动化
Earned Aug 31, 2022 EDT
在 Google Cloud 上设置应用开发环境
Earned Aug 24, 2022 EDT
为 Compute Engine 实现云负载均衡
Earned Aug 22, 2022 EDT
Google Kubernetes Engine 使用入门
Earned Aug 22, 2022 EDT
Google Cloud 重要基础设施：基础
Earned Apr 24, 2022 EDT
Google Cloud 基础知识：核心基础设施
Earned Mar 30, 2022 EDT
This structured course is for developers interested in building intelligent agents using the Agent Development Kit (ADK). It combines hands-on experience, core concepts, and practical application, to provide a comprehensive guide to using ADK. You can also join our community of Google Cloud experts and peers to ask questions, collaborate on answers, and connect with the Googlers making the products you use every day.
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Complete the Extend Gemini Enterprise Assistant Capabilities skill badge to demonstrate your ability to extend Gemini Enterprise assistant's capabilities with actions, grounding with Google Search, and a conversational agent.
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!
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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…
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Complete the Analyze patterns in conversational data with Customer Experience Insights skill badge to demonstrate your proficiency in analysing customer conversations with Cx Insights. After completing this challenge, you will be ready to deploy Cx 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!
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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!
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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!
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Complete the Create media search and media recommendations applications with AI Applications skill badge to demonstrate your ability to create, configure, and access media search and recommendations applications using AI Applications.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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!
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Complete the Configure AI Applications to optimize search results skill badge to demonstrate your proficiency in configuring search results from AI Applications. You will be tasked with implementing search serving controls to boost and bury results, filter entries from search results and display metadata in your search interface.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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!
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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!
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Complete the Build search and recommendations AI Applications skill badge to demonstrate your proficiency in deploying search and recommendation applications through AI Applications. Additionally, emphasis is placed on constructing a tailored Q&A system utilizing data stores.
Please note that AI Applications was previously named Agent Builder, so you may encounter this older name within the lab content.
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!
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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!
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An LLM-based application can process language in a way that resembles thought. But if you want to extend its capabilities to take actions by running other functions you have coded, you will need to use function calling. This can also be referred to as tool use. Additionally, you can give a model the ability to search Google or search a data store of documents to ground its responses. In other words, to base its answers on that information. In this course, you’ll explore these concepts.
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In this skill bagde, you will demonstrate your ability to use and compare models available in the Vertex AI Model Garden. You'll deploy a model to a Vertex AI Endpoint, query other models via their API, and use Vertex AI's Gen AI evaluation service to measure the performance of multiple models.
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This lab tests your ability to develop a real-world Generative AI Q&A solution using a RAG framework. You will use Firestore as a vector database and deploy a Flask app as a user interface to query a food safety knowledge base.
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Complete the Edit images with Imagen skill badge to demonstrate your skills with Imagen's mask modes and editing modes to edit images according to certain prompts.
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!
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Complete the Evaluate Gen AI model and agent performance skill badge to demonstrate your ability to use the Gen AI evaluation service. You will evaluate models to select the best model for a given task, compare models against each other and evaluate the performance of 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!
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Complete the Extend Gemini with controlled generation and Tool use skill badge to demonstrate your proficiency in connecting models to external tools and APIs. This allows models to augment their knowledge, extend their capabilities and interact with external systems to take actions such as sending an email.
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!"
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“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。
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“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。
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“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。
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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
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This course explores the different products and capabilities of Gemini Enterprise for Customer Experience, including CX Agent Studio, Agent Assist and CX Insights. 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.
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Learn to use LangChain to call Google Cloud LLMs and Generative AI Services and Datastores to simplify complex applications' code.
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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.
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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。）
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本课程指导学员运用久经考验的设计模式在 Google Cloud 上构建高度可靠且高效的解决方案。它是“Google Compute Engine 架构设计”或“Google Kubernetes Engine 架构设计”课程的延续，并假定您有使用其中任何一门课程所涵盖技术的实践经验。通过一系列演示、设计活动和动手实验，学员可以了解如何定义及平衡业务要求和技术要求，以便设计可靠性和可用性高、安全且经济实惠的 Google Cloud 部署。
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs. We move onto reviewing best practices that help maximize your pipeline performance. Towards the end of the course, we introduce SQL and Dataframes to represent your business logic in Beam and how to iteratively develop pipelines using Beam notebooks.
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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The objective of this course is to upsklill experienced conversational AI practitioners on how to deliver Dialogflow Bots with new Gen AI capabilities
Brought to you by the GCC Tech Specialization Team (gcc-enablement-tech@). Share your request/feedback on go/learningpacks-feedback!
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完成在 Vertex AI 上构建和部署机器学习解决方案课程，赢取中级技能徽章。 在此课程中，您将了解如何使用 Google Cloud 的 Vertex AI Platform、AutoML 以及自定义训练服务来 训练、评估、调优、解释和部署机器学习模型。 此技能徽章课程的目标受众是专业的数据科学家和机器学习 工程师。 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，即可获得数字徽章， 在您的人际圈中炫出自己的技能。
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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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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.
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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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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 is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
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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.
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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.
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This is a introductory course to all solutions in the Contact Centre AI (CCAI) portfolio and the Generative AI features that are poised to transform them. The course also explores the CCAI go to market and engagement model, the business case around CCAI, as well as the use cases and user personas addressed by the solution.
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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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This content is deprecated. Please see the latest version of the course, here.
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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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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.
探索生成式 AI - Vertex AI 课程汇集了多组实验， 指导用户在 Google Cloud 平台上运用生成式 AI。参与实验，您将了解 如何使用 Vertex AI PaLM API 系列模型，包括 text-bison、chat-bison 和 textembedding-gecko。您还将了解提示设计、最佳实践， 以及如何使用生成式 AI 进行构思、文本分类、文本提取、文本 总结等任务。您还将学习如何通过 Vertex AI 自定义训练对基础模型进行调优， 并将模型部署到 Vertex AI 端点。
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。
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。
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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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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。
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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。
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This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
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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。
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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。
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Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
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In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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这是一套自助式速成课程，向学员介绍 Google Cloud 提供的灵活全面的基础架构和平台服务。学员将通过一系列视频讲座、演示和实操实验，探索和部署各种解决方案元素，包括安全互连网络、负载均衡、自动扩缩、基础架构自动化和代管式服务。
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完成“在 Google Cloud 上设置应用开发环境”课程，赢取技能徽章；通过该课程，您将了解如何使用以下技术的基本功能来构建和连接以存储为中心的云基础设施： Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。
Build intelligent agents with Agent Development Kit (ADK)
Earned Sep 17, 2025 EDT
Extend Gemini Enterprise Assistant Capabilities
Earned Aug 14, 2025 EDT
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned Aug 13, 2025 EDT
Analyze patterns in conversational data with Customer Experience Insights
Earned Aug 2, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned Aug 2, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Jul 31, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned Jul 31, 2025 EDT
Configure AI Applications to optimize search results
Earned Jul 31, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned Jul 30, 2025 EDT
Build search and recommendations applications with AI Applications
Earned Jul 30, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Jul 28, 2025 EDT
Empower Gen AI Apps with Tool Use
Earned Jul 24, 2025 EDT
Deploy and Evaluate Model Garden Models
Earned Jul 22, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned Jul 22, 2025 EDT
Edit images with Imagen
Earned Jul 22, 2025 EDT
Evaluate Gen AI model and agent performance
Earned Jul 19, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Jul 15, 2025 EDT
生成式 AI: 全面了解生成式 AI
Earned Jun 26, 2025 EDT
生成式 AI：剖析基本概念
Earned Jun 26, 2025 EDT
生成式 AI：不只是聊天机器人
Earned Jun 23, 2025 EDT
Build generative virtual agents with API integrations
Earned Apr 2, 2025 EDT
Introduction to Gemini Enterprise for Customer Experience
Earned Apr 2, 2025 EDT
Orchestrate LLM solutions with LangChain
Earned Mar 6, 2025 EST
Deploy Google Agentspace
Earned Mar 5, 2025 EST
借助 Gemini Enterprise 加速知识交流
Earned Mar 5, 2025 EST
可靠的 Google Cloud 基础设施: 设计和流程
Earned Feb 12, 2025 EST
Developing a Google SRE Culture
Earned Feb 10, 2025 EST
Preparing for your Professional Cloud Architect Journey
Earned Feb 3, 2025 EST
Serverless Data Processing with Dataflow: Develop Pipelines
Earned Feb 3, 2025 EST
基准：基础架构
Earned Jan 4, 2025 EST
为 Looker 信息中心和报告准备数据
Earned Jan 4, 2025 EST
从 BigQuery 数据中挖掘数据洞见
Earned Jan 4, 2025 EST
Google Cloud 数据工程简介
Earned Dec 30, 2024 EST
CCAI Academy - Bot Building with Gen AI
Earned Dec 23, 2024 EST
在 Vertex AI 上构建和部署机器学习解决方案
Earned Nov 27, 2024 EST
Google Cloud 上的 AI 和机器学习简介
Earned Nov 18, 2024 EST
Customer Experience with Google AI Architecture
Earned Nov 11, 2024 EST
Generative AI for Business Leaders
Earned Oct 31, 2024 EDT
矢量搜索和嵌入
Earned Oct 30, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Oct 2, 2024 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned Sep 30, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Sep 21, 2024 EDT
Intro to CCAI and CCAI Engagement Framework
Earned Jun 12, 2024 EDT
Generative AI Fundamentals
Earned Jul 24, 2023 EDT
Generative AI Explorer : Vertex AI
Earned Jul 24, 2023 EDT
Text Prompt Engineering Techniques
Earned Jul 15, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Jul 15, 2023 EDT
编码器-解码器架构
Earned Jul 10, 2023 EDT
Transformer 模型和 BERT 模型
Earned Jul 10, 2023 EDT
探索生成式 AI - Vertex AI
Earned Jul 10, 2023 EDT
创建图片标注模型
Earned Jul 9, 2023 EDT
Vertex AI Studio 简介
Earned Jul 4, 2023 EDT
注意力机制
Earned Jul 4, 2023 EDT
图像生成简介
Earned Jul 4, 2023 EDT
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Jul 4, 2023 EDT
Generative AI Fundamentals - 简体中文
Earned Jul 3, 2023 EDT
负责任的 AI 简介
Earned Jul 3, 2023 EDT
大型语言模型简介
Earned Jun 30, 2023 EDT
生成式 AI 简介
Earned Jun 30, 2023 EDT
[DEPRECATED] Data Engineering
Earned Feb 5, 2023 EST
利用 BigQuery ML 构建预测模型时的数据工程处理
Earned Dec 21, 2022 EST
在 Google Cloud 上为机器学习 API 准备数据
Earned Dec 9, 2022 EST
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Nov 24, 2022 EST
Build Streaming Data Pipelines on Google Cloud
Earned Nov 11, 2022 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Oct 25, 2022 EDT
Google Cloud 弹性基础设施：扩缩和自动化
Earned Aug 31, 2022 EDT
在 Google Cloud 上设置应用开发环境
Earned Aug 24, 2022 EDT
为 Compute Engine 实现云负载均衡
Earned Aug 22, 2022 EDT
Google Kubernetes Engine 使用入门
Earned Aug 22, 2022 EDT
Google Cloud 重要基础设施：基础
Earned Apr 24, 2022 EDT
Google Cloud 基础知识：核心基础设施
Earned Mar 30, 2022 EDT