Generative AI for Business Leaders
Earned Apr 5, 2024 EDT
App Dev with Gemini
Earned Mar 11, 2024 EDT
Getting Started with the Vertex AI Gemini API
Earned Mar 8, 2024 EST
Multimodality with Gemini
Earned Mar 8, 2024 EST
Custom Search with Embeddings in Vertex AI
Earned Mar 8, 2024 EST
Vector Search 和嵌入
Earned Mar 7, 2024 EST
Virtual Agent Development in Dialogflow ES for Software Devs
Earned Mar 6, 2024 EST
CCAI Operations and Implementation
Earned Mar 6, 2024 EST
Virtual Agent Development in Dialogflow CX for Software Devs
Earned Mar 5, 2024 EST
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned Mar 5, 2024 EST
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned Mar 5, 2024 EST
Contact Center AI: Conversational Design Fundamentals
Earned Mar 1, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Mar 1, 2024 EST
Text Prompt Engineering Techniques
Earned Feb 26, 2024 EST
Search with AI Applications
Earned Feb 23, 2024 EST
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Feb 23, 2024 EST
Generative AI Explorer : Vertex AI
Earned Feb 22, 2024 EST
Vertex AI Studio 簡介
Earned Feb 21, 2024 EST
Generative AI Fundamentals
Earned Feb 21, 2024 EST
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Feb 20, 2024 EST
負責任的 AI 技術簡介
Earned Feb 20, 2024 EST
大型語言模型簡介
Earned Feb 20, 2024 EST
生成式 AI 簡介
Earned Feb 20, 2024 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned Feb 20, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Feb 20, 2024 EST
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Jan 17, 2024 EST
Build Batch Data Pipelines on Google Cloud
Earned Jan 8, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Dec 12, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Dec 11, 2023 EST
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.
了解详情
Welcome to Cloud Composer, where we discuss how to orchestrate data lake workflows with Cloud Composer.
本課程說明如何使用 Google Agent Development Kit 建構複雜的多代理系統。您將建構配備工具的虛擬服務專員，並透過從屬關係和流程定義互動方式。您將在本機執行代理，並部署至 Vertex AI Agent Engine，透過代管代理流程執行；Agent Engine 則處理基礎架構決策和資源調度作業。
請注意，這些實驗室是根據這項產品的預先發布版製成。我們會進行維護更新，因此這些研究室將可能出現延遲。
了解详情
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.
了解详情
本課程會說明如何使用 Google 可攜式 UI 工具包 Flutter 來開發應用程式，並將應用程式與 Google 生成式 AI 模型系列 Gemini 整合。您也會用到 Vertex AI Agent Builder，此為建構及管理 AI 代理和應用程式的 Google 平台。
了解详情
This course provides an introduction to Looker Studio’s powerful features for data visualization and reporting. Learn to transform raw data into insightful reports by mastering various visualization options, connecting to diverse data sources, and implementing interactive controls such as filters. Explore data blending techniques to combine information from multiple sources and unlock deeper insights. Through hands-on exercises you'll gain the skills to create compelling, dynamic reports that effectively communicate data-driven stories.
了解详情
In this introductory course, you'll learn how Looker can help you explore, analyze, and visualize your data to drive better decisions. Through a combination of video lectures and demos, you'll discover how to connect to various data sources, build interactive dashboards, and perform effective data analysis. Whether you're a data analyst, BI analyst, data scientist or business user, this course will equip you with the foundational knowledge to start using Looker effectively, regardless of your background.
了解详情
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。
了解详情
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。)
了解详情
This course equips full-stack mobile and web developers with the skills to integrate generative AI features into their applications using LangChain. You'll learn how to leverage LangChain’s capabilities for backend flows and seamless model execution, all within the familiar environment of Python. The course guides you through the entire process, from prototyping to production, ensuring a smooth journey in building next-generation AI-powered applications.
了解详情
完成使用 BigQuery ML 為預測模型進行資料工程技能徽章中階課程， 即可證明自己具備下列知識與技能：運用 Dataprep by Trifacta 建構連至 BigQuery 的資料轉換 pipeline； 使用 Cloud Storage、Dataflow 和 BigQuery 建構「擷取、轉換及載入」(ETL) 工作負載， 以及使用 BigQuery ML 建構機器學習模型。
了解详情
完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程，即可證明您具備下列技能： 可使用 BigQuery ML 建立及評估機器學習模型，並根據資料進行預測。
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
In this course, you'll learn to develop AI agents that answer questions using websites, documents, or structured data. You will explore 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
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 explores the different products and capabilities of Gemini Enterprise for Customer Experience 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
(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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 advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Conversational Agent self-service experiences. 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
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 will equip you with the tools to develop complex conversational experiences in Conversational Agents capable of identifying the user intent and routing it to the right self service flow. 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
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
This on-demand course provides partners the skills required to design, deploy, and monitor Vertail AI Search for Commerce solutions including retail search and recommendation AI for enterprise customers.
了解详情
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
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.
In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.
了解详情
An AI-driven Contact Center as a Service (CCaaS) solution that is built natively on Google Cloud. The Implementation course provides Partners with essential training about the delivery of key features and functionality. The course explores how to leverage your key understanding of the product into successful customer implementation engagements with tips, best practices, guides, and more.
Note: This product was previously called Contact Center AI (CCAI) Platform you may see references to that name still in the course, however the course is technically correct.
了解详情
This course will equip you with the tools to develop complex conversational experiences in Dialogflow CX capable of identifying the user intent and routing it to the right self service flow.
了解详情
This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
了解详情
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
了解详情
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.
了解详情
Learn how Gemini can revolutionize your ability to develop applications! This course helps developers go beyond the basics and learn how to integrate Gemini into their workflows.
完成「使用 Dataplex 建構資料網格」技能徽章入門課程，即可證明您具備下列技能：使用 Dataplex 建構資料網格， 以利在 Google Cloud 維護資料安全性，並協助治理和探索資料。您將練習並測試自己的技能，包括在 Dataplex 為資產加上標記、指派 IAM 角色，以及評估資料品質。
了解详情
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。
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
Unlock the power of Google Cloud's cutting-edge Vertex AI Gemini API to craft innovative multimodal applications. This hands-on course delves into the integration of the Vertex AI SDK for Python, guiding you through the generation of sophisticated responses powered by the Gemini Pro and Gemini Pro Vision models. Get ready to build, deploy, and harness the transformative capabilities of multimodal AI within your own projects.
Important Disclaimer: Please note that these labs are under active development. Functionality may occasionally change or break unexpectedly, and content might be removed or altered without notice. By proceeding with this course, you acknowledge this potential disruption.
了解详情
Get hands-on with the Gemini Pro and Gemini Pro Vision models through our new labs. This course gives you a unique chance to explore these powerful AI tools while our training content is still in development. Learn to interact with the models using the Vertex AI Gemini API and cURL commands, and help us create the best possible learning experience around this technology.
Important Disclaimer: Please note that these labs are under active development. Functionality may occasionally change or break unexpectedly, and content might be removed or altered without notice. By proceeding with this course, you acknowledge this potential disruption.
了解详情
Delve into the power of multimodal AI with this project-based course using Gemini. Master essential techniques and build advanced applications. You will:
- Experiment with multimodal use cases to expand application possibilities
- Implement recommendation systems that combine suggestions with clear reasoning
- Design a powerful document search engine using multimodal RAG methods
Important Disclaimer: Please note that these labs are under active development. Functionality may occasionally change or break unexpectedly, and content might be removed or altered without notice. By proceeding with this course, you acknowledge this potential disruption.
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.
了解详情
這堂課程會介紹 AI 搜尋技術、工具和應用程式。主題涵蓋使用向量嵌入執行語意搜尋；結合語意和關鍵字做法的混合型搜尋機制；以及運用檢索增強生成 (RAG) 技術建構有基準的 AI 代理，盡可能減少 AI 幻覺。您可以實際使用 Vertex AI Vector Search，打造智慧型搜尋引擎。
了解详情
Welcome to "CCAI Virtual Agent Development in Dialogflow ES for Software Developers", the third course in the "Customer Experiences with Contact Center AI" series.
In this course, learn to use additional features of Dialogflow ES for your virtual agent, create a Firestore instance to store customer data, and implement cloud functions that access the data. With the ability to read and write customer data, learner’s virtual agents are conversationally dynamic and able to defer contact center volume from human agents. You'll be introduced to methods for testing your virtual agent and logs which can be useful for understanding issues that arise. Lastly, learn about connectivity protocols, APIs, and platforms for integrating your virtual agent with services already established for your business.
了解详情
Welcome to "CCAI Operations and Implementation", the fourth course in the "Customer Experiences with Contact Center AI" series. In this course, 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. In this course, you'll be introduced to Agent Assist and the technology it uses so you can delight your customers with the efficiencies and accuracy of services provided when customers require human agents, connectivity protocols, APIs, and platforms which you can use to create an integration between your virtual agent and the services already established for your business, Dialogflow's Environment Management tool for deployment of different versions of your virtual agent for various purposes, compliance measures and regulations you should be aware of when bringing your virtual agent to production, and you'll be given tips from virtua…
了解详情
Welcome to "Virtual Agent Development in Dialogflow CX for Software Devs", the third course in the "Customer Experiences with Contact Center AI" series. In this course, learn how to develop more customized customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to more advanced and customized handling for virtual agent conversations that need to look up and convey dynamic data, and methods available to you for testing your virtual agent and logs which can be useful for understanding issues that arise.
This is an intermediate course, intended for learners with the following type of role:
Software developers: Codes computer software in a programming language (e.g., C++, Python, Javascript) and often using an SDK/API.
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
Welcome to "Virtual Agent Development in Dialogflow ES 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). You will use Dialogflow ES to create virtual agents and test them using the Dialogflow ES simulator. This course also provides best practices on developing virtual agents. You will also be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations. Through a combination of presentations, demos, and hands-on labs, participants learn how to create virtual agents.
This is an intermediate course, intended for learners with the following types of roles:
Conversational designers: Designs the user experience of a virtual assistant. Translates the brand's business requirements into natural dialog flows.
Citizen developers: Creates new business applications fo…
了解详情
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
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
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
(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used)
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities.
This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.
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
This content is deprecated. Please see the latest version of the course, here.
了解详情
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。
了解详情
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.
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
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。
了解详情
This course explores the different products and capabilities of Gemini Enterprise for Customer Experience 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
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
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.
了解详情
In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
了解详情
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.
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.
Build intelligent agents with Agent Development Kit (ADK)
Earned Oct 21, 2025 EDT
Data Lake Modernization on Google Cloud: Cloud Composer
Earned Aug 14, 2025 EDT
在 BigQuery 使用 Gemini 模型
Earned Aug 13, 2025 EDT
運用 Agent Development Kit (ADK) 與 Agent Engine 部署多代理系統
Earned Aug 12, 2025 EDT
Empower Gen AI apps with tool use
Earned Aug 12, 2025 EDT
運用 Vertex AI 和 Flutter 打造生成式 AI 代理
Earned Aug 12, 2025 EDT
Looker Studio Essentials
Earned Jul 28, 2025 EDT
Introduction to Looker
Earned Jul 25, 2025 EDT
運用 BigQuery 建立嵌入項目、向量搜尋和 RAG
Earned Jun 6, 2025 EDT
運用 Gemini Enterprise 加速知識交流
Earned Jun 6, 2025 EDT
Orchestrating Gen AI Applications with LangChain
Earned Jun 5, 2025 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Feb 4, 2025 EST
運用 BigQuery ML 建立機器學習模型
Earned Jan 16, 2025 EST
DFCX Virtual Agent Delivery Framework
Earned Jul 4, 2024 EDT
Extend CX Agents with Vertex AI Search data stores
Earned Jul 4, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned May 30, 2024 EDT
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned May 30, 2024 EDT
Search with AI Applications
Earned May 30, 2024 EDT
Advanced Performance Measurement
Earned May 29, 2024 EDT
Advanced Webhook Concepts
Earned May 28, 2024 EDT
Generative Playbooks
Earned May 28, 2024 EDT
Building Complex Self-Service Experiences in Conversational Agents
Earned May 27, 2024 EDT
Conversational AI Voice and Chat Integrations
Earned May 27, 2024 EDT
Vertex AI Search for Commerce
Earned May 27, 2024 EDT
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned May 22, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned May 21, 2024 EDT
從 BigQuery 資料取得深入分析結果
Earned May 21, 2024 EDT
Understanding LookML in Looker
Earned May 16, 2024 EDT
Contact Center as a Service Implementation
Earned May 8, 2024 EDT
Building Complex End to End Self-Service Experiences in Dialogflow CX
Earned May 6, 2024 EDT
Developing Data Models with LookML
Earned Apr 24, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned Apr 24, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Apr 17, 2024 EDT
Improving developer velocity with Gemini Code Assist
Earned Apr 17, 2024 EDT
透過 BigQuery 建構資料倉儲
Earned Apr 11, 2024 EDT
使用 Dataplex 建構資料網格
Earned Apr 10, 2024 EDT
圖像生成簡介
Earned Apr 5, 2024 EDT
Generative AI for Business Leaders
Earned Apr 5, 2024 EDT
App Dev with Gemini
Earned Mar 11, 2024 EDT
Getting Started with the Vertex AI Gemini API
Earned Mar 8, 2024 EST
Multimodality with Gemini
Earned Mar 8, 2024 EST
Custom Search with Embeddings in Vertex AI
Earned Mar 8, 2024 EST
Vector Search 和嵌入
Earned Mar 7, 2024 EST
Virtual Agent Development in Dialogflow ES for Software Devs
Earned Mar 6, 2024 EST
CCAI Operations and Implementation
Earned Mar 6, 2024 EST
Virtual Agent Development in Dialogflow CX for Software Devs
Earned Mar 5, 2024 EST
Virtual Agent Development in Dialogflow CX for Citizen Devs
Earned Mar 5, 2024 EST
Virtual Agent Development in Dialogflow ES for Citizen Devs
Earned Mar 5, 2024 EST
Contact Center AI: Conversational Design Fundamentals
Earned Mar 1, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Mar 1, 2024 EST
Text Prompt Engineering Techniques
Earned Feb 26, 2024 EST
Search with AI Applications
Earned Feb 23, 2024 EST
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Feb 23, 2024 EST
Generative AI Explorer : Vertex AI
Earned Feb 22, 2024 EST
Vertex AI Studio 簡介
Earned Feb 21, 2024 EST
Generative AI Fundamentals
Earned Feb 21, 2024 EST
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Feb 20, 2024 EST
負責任的 AI 技術簡介
Earned Feb 20, 2024 EST
大型語言模型簡介
Earned Feb 20, 2024 EST
生成式 AI 簡介
Earned Feb 20, 2024 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned Feb 20, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned Feb 20, 2024 EST
Smart Analytics, Machine Learning, and AI on Google Cloud
Earned Jan 17, 2024 EST
Build Batch Data Pipelines on Google Cloud
Earned Jan 8, 2024 EST
Build Data Lakes and Data Warehouses on Google Cloud
Earned Dec 12, 2023 EST
Google Cloud Big Data and Machine Learning Fundamentals
Earned Dec 11, 2023 EST