Discover Business Value for Customers
Earned Dec 12, 2025 EST
Build and Deploy Customer Experience Agents
Earned Dec 5, 2025 EST
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned Aug 13, 2025 EDT
運用 BigQuery 建立嵌入項目、向量搜尋和 RAG
Earned Aug 7, 2025 EDT
Generate and Edit Media in Vertex AI
Earned Aug 7, 2025 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned Aug 7, 2025 EDT
機器學習運作 (MLOps) 與 Vertex AI：模型評估
Earned Aug 7, 2025 EDT
Recommendations with AI Applications
Earned Aug 6, 2025 EDT
Create Data Stores for Gen AI Applications
Earned Aug 6, 2025 EDT
Introduction to NotebookLM
Earned Aug 6, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned Aug 6, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned Aug 6, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned Aug 6, 2025 EDT
Empower Gen AI Apps with Tool Use
Earned Aug 6, 2025 EDT
Explore Google's Gen AI Models
Earned Aug 6, 2025 EDT
Engineer Effective Prompts for Generative Models
Earned Aug 6, 2025 EDT
Configure AI Applications to optimize search results
Earned Aug 6, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned Aug 6, 2025 EDT
Analyze patterns in conversational data with Customer Experience Insights
Earned Aug 6, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Aug 5, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Aug 5, 2025 EDT
Extend Gemini Enterprise Assistant Capabilities
Earned Aug 3, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned Aug 3, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned Aug 3, 2025 EDT
Build search and recommendations applications with AI Applications
Earned Aug 2, 2025 EDT
Deploy and Evaluate Model Garden Models
Earned Aug 2, 2025 EDT
Evaluate Gen AI model and agent performance
Earned Aug 2, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned Aug 1, 2025 EDT
Edit images with Imagen
Earned Aug 1, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Aug 1, 2025 EDT
生成式 AI：不只是聊天機器人
Earned Jun 26, 2025 EDT
運用 Gemini Enterprise 加速知識交流
Earned Jan 30, 2025 EST
Build and Deploy a Generative AI solution using a RAG framework
Earned Jun 13, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Jun 1, 2024 EDT
Google Cloud 的 AI 和機器學習服務簡介
Earned Nov 1, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Oct 16, 2023 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Oct 16, 2023 EDT
Text Prompt Engineering Techniques
Earned Oct 16, 2023 EDT
Vertex AI Studio 簡介
Earned Oct 15, 2023 EDT
建立圖像說明生成模型
Earned Oct 14, 2023 EDT
Transformer 和 BERT 模型
Earned Oct 14, 2023 EDT
編碼器-解碼器架構
Earned Oct 13, 2023 EDT
注意力機制
Earned Oct 13, 2023 EDT
圖像生成簡介
Earned Oct 13, 2023 EDT
Generative AI Fundamentals
Earned Oct 11, 2023 EDT
負責任的 AI 技術簡介
Earned Oct 11, 2023 EDT
大型語言模型簡介
Earned Oct 11, 2023 EDT
生成式 AI 簡介
Earned Oct 9, 2023 EDT
The course aims to train Google technical sales partners on the business value discovery process using proprietary content.
Course activities use an external tool (Yoodli). Refer to Yoodli's Terms of Service and Privacy Notice.
Note: The Yoodli Labs in this course will be deprecated on March 31st. We encourage you to finish your remaining Yoodli Labs before the March 31 deadline.
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In this course you will discover the exciting new features and capabilities of Customer Experience Agent Studio (CX Agent Studio), design AI agents from the CLI using MCP servers, learn how to evaluate your agent's performance and implement the Quality Hill Climbing process. You will also find out how to set up your agent's memory to store, retrieve, and use information across conversation turns and implement callbacks for logging or authentication, configure guardrails to protect against malicious attempts and ensure aligned responses, and deploy the agent to various channels.
Additionally, you will explore the possible integrations between CX Agent Studio and CCaaS services and providers, including first party digital channel integrations with Google Telephony Platform (GTP), widgets and APIs, escalations to human agents through Google Cloud CCaaS and Gemini Enterprise for Customer Experience, and third party telephony and CCaaS integrations with providers such as Twillio or Salesfor…
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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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這堂課程會說明 BigQuery 中的檢索增強生成 (RAG) 解決方案，協助您減少 AI 幻覺。當中介紹的 RAG 工作流程包含建立嵌入項目、搜尋向量空間，以及生成更符合需求的答案。另外，這堂課程會解釋這些步驟背後的概念與原因，以及實際運用 BigQuery 實作的方法。完成課程之後，學員將學會使用 BigQuery，以及 Gemini 和嵌入模型等生成式 AI 模型，建立 RAG pipeline 來處理自己的 AI 幻覺應用實例。
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This course dives into the world of media creation in Vertex AI using Nano Banana and Veo. Learn to design text and image-based prompts to produce high-quality, consistent images, and captivating, cinematic video clips. You'll also learn to refine generated assets using core editing functions. Finally, this course guides you through multi-tool workflow implementations for creative control and consistency, empowering you to transform images into video clips and leverage Gemini for prompt writing assistance and feedback.
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Evaluation is important at every step of your Gen AI development process. In this course you will learn how to evaluate gen AI agents built using agent frameworks.
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本課程針對評估生成式和預測式 AI 模型，向機器學習從業人員介紹相關的基礎工具、技術和最佳做法。模型評估是機器學習的重要領域，確保這類系統能在正式環境中提供可靠、準確且成效優異的結果。
學員將深入瞭解多種評估指標與方法，以及適用於不同模型類型和工作的應用方式。此外，也會特別介紹生成式 AI 模型帶來的獨特難題，並提供有效的應對策略。透過 Google Cloud Vertex AI 平台，學員將瞭解在模型挑選、最佳化和持續監控方面，該如何導入穩健的評估程序。
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Do you want to keep your users engaged by suggesting content they'll love?
This course equips you with the skills to build a cutting-edge recommendations app using your own data with no prior machine learning knowledge. You learn to leverage AI Applications to build recommendation applications so that audiences can discover more personalized content, like what to watch or read next, with Google-quality results customized using optimization objectives.
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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.
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NotebookLM is an AI-powered collaborator that helps you do your best thinking. After uploading your documents, NotebookLM becomes an instant expert in those sources so you can read, take notes, and collaborate with it to refine and organize your ideas.
NotebookLM Pro gives you everything already included with NotebookLM, as well as higher utilization limits, access to premium features, and additional sharing options and analytics.
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If you've worked with data, you know that some data is more reliable than other data.
In this course, you'll learn a variety of techniques to present the most reliable or useful results to your users. Create serving controls to boost or bury search results. Rank search results to ensure that each query is answered by the most relevant data. If needed, tune your search engine. Learn to measure search results to ensure your search applications deliver the best possible results to each user.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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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.)
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Initial deployment of Vertex AI Search and Gemini Enterprise apps takes only a few clicks, but getting the configurations right can elevate a deployment from a basic off-the-shelf app to an excellent custom search or recommendations experience.
In this course, you'll learn more about the many ways you can customize and improve search, recommendations, and Gemini Enterprise apps.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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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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Learn how to leverage Gemini multimodal capabilities to process and generate text, images, and audio and to integrate Gemini through APIs to perform tasks such as content creation and summarization.
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Learn a variety of strategies and techniques to engineer effective prompts for generative models
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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 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 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 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
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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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 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!
了解详情
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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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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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!
了解详情
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!
了解详情
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：不只是聊天機器人」是 Generative AI Leader 學習路徑的第一門課程,沒有任何修課條件。本課程將帶您超越基本知識,進一步瞭解聊天機器人,探索如何在組織中充分發揮生成式 AI 的潛力。您將瞭解基礎模型和提示工程等概念,掌握善用生成式AI 的關鍵。本課程也會帶您瞭解擬定生成式 AI 策略時的多種重要考量,協助您為組織擬定出成功的策略。
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Gemini Enterprise 結合 Google 的搜尋和 AI 輔助功能，企業員工只要在單一搜尋列輸入關鍵字，就能查找文件儲存空間、電子郵件、對話、支援單處理系統和其他資料來源中的特定資訊。Gemini Enterprise 助理還能協助人員腦力激盪、研究資訊、列出文件大綱及執行其他動作，例如邀請同事加入日曆活動，加快完成知識型工作及各種協作作業。(請注意，Gemini Enterprise 先前稱為 Google Agentspace，本課程可能會提及產品舊稱。)
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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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本課程介紹 Google Cloud 的 AI 和機器學習 (ML) 功能，著重說明如何開發生成式和預測式 AI 專案。我們也會探討「從資料到 AI」整個生命週期都適用的技術、產品和工具，並透過互動式練習，協助資料科學家、AI 開發人員和機器學習工程師精進專業知識。
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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.
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隨著企業持續擴大使用人工智慧和機器學習，以負責任的方式發展相關技術也日益重要。對許多企業來說，談論負責任的 AI 技術可能不難，如何付諸實行才是真正的挑戰。如要瞭解如何在機構中導入負責任的 AI 技術，本課程絕對能助您一臂之力。
您可以從中瞭解 Google Cloud 目前採取的策略、最佳做法和經驗談，協助貴機構奠定良好基礎，實踐負責任的 AI 技術。
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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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本課程會介紹 Vertex AI Studio。您可以運用這項工具和生成式 AI 模型互動、根據商業構想設計原型，並投入到正式環境。透過身歷其境的應用實例、有趣的課程及實作實驗室，您將能探索從提示到正式環境的生命週期，同時學習如何將 Vertex AI Studio 運用在多模態版 Gemini 應用程式、提示設計、提示工程和模型調整。這個課程的目標是讓您能運用 Vertex AI Studio，在專案中發揮生成式 AI 的潛能。
本課程將介紹擴散模型，這是一種機器學習模型，近期在圖像生成領域展現亮眼潛力。概念源自物理學，尤其深受熱力學影響。過去幾年來，在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中，擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論，並說明如何在 Vertex AI 上訓練和部署這些模型。
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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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這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
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這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
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這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
Discover Business Value for Customers
Earned Dec 12, 2025 EST
Build and Deploy Customer Experience Agents
Earned Dec 5, 2025 EST
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned Aug 13, 2025 EDT
運用 BigQuery 建立嵌入項目、向量搜尋和 RAG
Earned Aug 7, 2025 EDT
Generate and Edit Media in Vertex AI
Earned Aug 7, 2025 EDT
Evaluate ADK Agents with Vertex AI Gen AI Evaluation Service
Earned Aug 7, 2025 EDT
機器學習運作 (MLOps) 與 Vertex AI：模型評估
Earned Aug 7, 2025 EDT
Recommendations with AI Applications
Earned Aug 6, 2025 EDT
Create Data Stores for Gen AI Applications
Earned Aug 6, 2025 EDT
Introduction to NotebookLM
Earned Aug 6, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned Aug 6, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned Aug 6, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned Aug 6, 2025 EDT
Empower Gen AI Apps with Tool Use
Earned Aug 6, 2025 EDT
Explore Google's Gen AI Models
Earned Aug 6, 2025 EDT
Engineer Effective Prompts for Generative Models
Earned Aug 6, 2025 EDT
Configure AI Applications to optimize search results
Earned Aug 6, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned Aug 6, 2025 EDT
Analyze patterns in conversational data with Customer Experience Insights
Earned Aug 6, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Aug 5, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Aug 5, 2025 EDT
Extend Gemini Enterprise Assistant Capabilities
Earned Aug 3, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned Aug 3, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned Aug 3, 2025 EDT
Build search and recommendations applications with AI Applications
Earned Aug 2, 2025 EDT
Deploy and Evaluate Model Garden Models
Earned Aug 2, 2025 EDT
Evaluate Gen AI model and agent performance
Earned Aug 2, 2025 EDT
Deploy a RAG application with vector search in Firestore
Earned Aug 1, 2025 EDT
Edit images with Imagen
Earned Aug 1, 2025 EDT
Extend Gemini with controlled generation and Tool use
Earned Aug 1, 2025 EDT
生成式 AI：不只是聊天機器人
Earned Jun 26, 2025 EDT
運用 Gemini Enterprise 加速知識交流
Earned Jan 30, 2025 EST
Build and Deploy a Generative AI solution using a RAG framework
Earned Jun 13, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Jun 1, 2024 EDT
Google Cloud 的 AI 和機器學習服務簡介
Earned Nov 1, 2023 EDT
Implementing Generative AI with Vertex AI
Earned Oct 16, 2023 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Oct 16, 2023 EDT
Text Prompt Engineering Techniques
Earned Oct 16, 2023 EDT
Vertex AI Studio 簡介
Earned Oct 15, 2023 EDT
建立圖像說明生成模型
Earned Oct 14, 2023 EDT
Transformer 和 BERT 模型
Earned Oct 14, 2023 EDT
編碼器-解碼器架構
Earned Oct 13, 2023 EDT
注意力機制
Earned Oct 13, 2023 EDT
圖像生成簡介
Earned Oct 13, 2023 EDT
Generative AI Fundamentals
Earned Oct 11, 2023 EDT
負責任的 AI 技術簡介
Earned Oct 11, 2023 EDT
大型語言模型簡介
Earned Oct 11, 2023 EDT
生成式 AI 簡介
Earned Oct 9, 2023 EDT