Build and Deploy a Generative AI solution using a RAG framework
Earned Jun 24, 2024 EDT
使用多模态 Gemini 和多模态 RAG 检查富文档
Earned Jun 24, 2024 EDT
适用于安全工程师的 Gemini
Earned Jun 20, 2024 EDT
适用于云架构师的 Gemini
Earned Jun 20, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Jun 6, 2024 EDT
构建安全的 Google Cloud 网络
Earned Jun 6, 2024 EDT
App Dev with Gemini
Earned Jun 5, 2024 EDT
Multimodality with Gemini
Earned Jun 5, 2024 EDT
Getting Started with the Vertex AI Gemini API
Earned Jun 5, 2024 EDT
Search with AI Applications
Earned Jun 5, 2024 EDT
Custom Search with Embeddings in Vertex AI
Earned Jun 5, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned May 31, 2024 EDT
矢量搜索和嵌入
Earned May 31, 2024 EDT
Implementing Generative AI with Vertex AI
Earned May 31, 2024 EDT
创建图片标注模型
Earned May 31, 2024 EDT
Transformer 模型和 BERT 模型
Earned May 31, 2024 EDT
编码器-解码器架构
Earned May 31, 2024 EDT
注意力机制
Earned May 31, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned May 31, 2024 EDT
Text Prompt Engineering Techniques
Earned May 30, 2024 EDT
Stateful Flows
Earned May 30, 2024 EDT
Scaling with Google Cloud Operations
Earned Mar 8, 2024 EST
Preparing for Your Professional Cloud Security Engineer Journey
Earned Mar 8, 2024 EST
Google Security Operations - SOAR Developer
Earned Mar 8, 2024 EST
Google Security Operations - SOAR Analyst
Earned Mar 8, 2024 EST
[DEPRECATED] SOAR Fundamentals
Earned Mar 8, 2024 EST
Security Practices with Google Security Operations - SIEM
Earned Mar 8, 2024 EST
Developing a Google SRE Culture
Earned Mar 6, 2024 EST
Preparing for Your Associate Cloud Engineer Journey
Earned Mar 6, 2024 EST
Modernize Infrastructure and Applications with Google Cloud
Earned Mar 6, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Mar 6, 2024 EST
Generative AI Explorer : Vertex AI
Earned Mar 5, 2024 EST
Text Prompt Engineering Techniques
Earned Mar 5, 2024 EST
图像生成简介
Earned Mar 5, 2024 EST
Vertex AI Studio 简介
Earned Mar 5, 2024 EST
Generative AI for Business Leaders
Earned Mar 5, 2024 EST
Responsible AI: 和 Google Cloud 一起践行 AI 原则
Earned Mar 5, 2024 EST
负责任的 AI 简介
Earned Mar 5, 2024 EST
大型语言模型简介
Earned Mar 5, 2024 EST
生成式 AI 简介
Earned Mar 5, 2024 EST
Generative AI Fundamentals
Earned Mar 5, 2024 EST
DEPRECATED Planning for a Google Workspace Deployment
Earned Mar 5, 2024 EST
Google Workspace Security
Earned Mar 5, 2024 EST
Configure your Workplace: Google Workspace for IT Admins
Earned Mar 5, 2024 EST
DEPRECATED Network Performance and Optimization
Earned Jan 22, 2024 EST
在 Google Cloud 上实施云安全基础措施
Earned Jan 22, 2024 EST
Networking in Google Cloud: Routing and Addressing
Earned Jan 19, 2024 EST
Networking in Google Cloud: Fundamentals
Earned Jan 19, 2024 EST
This course will guide you through designing customer engagements that result in successful, well-utilized Gemini Enterprise deployments. Study the art of change management, how to identify and engage sponsors, recruit early adopters, help your customer identify and address cultural change challenges and skills gaps, and effectively deliver project communications. Additionally, learn how to support your customer to plan, offer, conduct, and evaluate end-user training, leverage partner resources, and create essential project documents.
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完成中级技能徽章课程“在 Google 表格中使用函数、公式和图表”， 展现您在以下方面的技能：使用函数分析数据；使用图表直观呈现数据；以及搜索和验证数据、 设置数据格式、显示数据。
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This skill badge aims to provide partners a comprehensive understanding of migrating MySQL databases to Cloud Spanner, and gain hands-on experience through labs.
The microservices architecture describes a software design pattern in which an application is a collection of loosely coupled services. These services are fine-grained, and can be individually maintained and scaled. The microservices architecture is ideal for the public cloud, with its focus on elastic scaling with on-demand resources. In this course, you will build a Java application using Spring Boot and Spring Cloud on Google Cloud.
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This course delves into integrating Google Cloud Spanner with BigQuery to enhance your analytics capabilities. The course focuses on building a environment that extends your BigQuery-based analytics to access production data in Spanner. Through a challenge lab, you will gain hands-on experience in configuring federated connections to facilitate seamless data access and reporting.
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Migration from Oracle to Cloud Spanner using HarbourBridge. This course describes an example scenario that uses sample data during the migration. This process includes using HarbourBridge for Assessment, Schema Conversion, Schema Transformation, Data Migration, and supporting tools for data validation.
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Migration from AWS EC2 to Google Cloud Compute Engine using Migrate to Virtual Machines (v5) using demo VM(s). It provides a proof-of-concept that walks you through the process of replicating a VM to doing test cutover and final cutover of the VM.
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这门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，其中着重介绍了 Compute Engine。学员将通过一系列视频讲座、演示和动手实验，探索和部署各种解决方案元素，包括网络、虚拟机和应用服务等基础架构组件。您将学习如何通过控制台和 Cloud Shell 使用 Google Cloud。您还将了解云架构师角色、基础架构设计方法以及虚拟网络配置和虚拟私有云 (VPC)、项目、网络、子网、IP 地址、路由及防火墙规则。
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In this course, you follow the full application modernization journey. You start by lifting and shifting a web application to a virtual machine, then evolve the architecture by containerizing the application for Kubernetes orchestration, and finally deploy it to a serverless platform.
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完成在 Google Cloud 上使用 Terraform 构建基础设施技能徽章中级课程， 展示您在以下方面的技能：在使用 Terraform 时遵循基础设施即代码 (IaC) 原则；利用 Terraform 配置 来预配和管理 Google Cloud 资源；管理有效状态（本地和远程）；以及将 Terraform 代码模块化，以方便重复使用和整理。
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完成为 AWS 专业人员构建 Google Cloud 基础设施课程， 赢取技能徽章。在此课程中，您将学习如何配置 IAM 权限， 使用 Kubernetes 编排工作负载，使用 Compute Engine 托管 Web 应用， 以及配置负载均衡。
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This course will focus on Agent Assist, an AI-powered tool designed to enhance customer service interactions. In this course, you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the chat channel. You’ll learn how to take full advantage of Agent Assist from Gemini Enterprise for Customer Experience, and its range of Gen AI features and functionality.
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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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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.
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This course aims to equip conversational designers and builders with the concepts and practical skills to design, build, and test sophisticated, multi-agent, and multimodal Customer Experience agents using Customer Experience Agent Studio (CX Agent Studio).
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In this course you will learn how to leverage Customer Experience Insights (CX Insights) to uncover hidden information from your contact center data to increase operational efficiency and drive data-driven business decisions.
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In this course you will learn how Agent Assist can enhance the productivity of human agents while interacting with customers through the voice channel, as well as the options available for integration with other platforms in the Conversational AI ecosystem.
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This course explores the fundamentals of the feedback loop process for Conversational Agent development and introduces the native capabilities within Conversational Agents that support it. You will also learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents.
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In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
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完成在 Google Cloud 上实现 CI/CD 流水线技能徽章课程，赢取中级技能徽章。 您将学习如何使用 Artifact Registry、Cloud Build 和 Cloud Deploy。您将与 Google Cloud 控制台、Google Cloud CLI、Cloud Run 和 GKE 互动。本课程将介绍如何构建持续集成 流水线，存储和保护工件，扫描漏洞，证明已批准版本 的有效性。此外，您还将获得在 GKE 和 Cloud Run 中 部署应用的实操经验。
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完成借助 Firebase 开发无服务器应用技能徽章中级课程， 展示您在以下方面的技能：借助 Firebase 设计无服务器 Web 应用架构以及构建无服务器 Web 应用； 利用 Firestore 管理数据库；利用 Cloud Build 自动完成部署流程； 以及将 Google 助理功能集成到您的应用中。
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完成在 Cloud Run 上开发无服务器应用技能徽章中级课程， 展示您在以下方面的技能：集成 Cloud Run 与 Cloud Storage 以管理数据， 使用 Cloud Run 和 Pub/Sub 设计弹性异步系统架构， 构建依托 Cloud Run 技术的 REST API 网关，以及在 Cloud Run 上构建和部署服务。
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Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. 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 this quest to receive an exclusive Google…
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本课程全面概述了 Google Cloud Security Command Center (SCC) Enterprise，这是一个云原生应用保护平台 (CNAPP) 解决方案，可帮助组织预防、检测和应对整个 Google Cloud 服务中的威胁。
您将了解 SCC Enterprise 的核心功能，包括增强型威胁检测、深度漏洞管理和集成式案例管理。
本课程也会介绍威胁管理和漏洞评估方面的基本概念，并实际演示如何使用 SCC Enterprise 来识别、调查和修复多云环境中的安全风险。
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完成中级技能徽章课程使用 Security Command Center 消除 威胁和漏洞，展示您在以下方面的技能： 预防和管理环境威胁、识别和缓解应用漏洞，以及应对安全异常。
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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 the context of a real-world use case, learn how to use Security Command Center’s virtual red teaming feature to identify risks. Then, learn how attack exposure scores help you prioritize issues and how risk reports keep stakeholders in the loop.
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This Artificial Intelligence and Machine Learning course consists of a series of advanced-level labs designed to validate your proficiency in using AI and ML to extract, analyze, search, and store structured data from documents and improve customer service. Each lab presents a set of required tasks that you must complete with minimal assistance.
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This course is designed to enhance your demonstration skills and help you deliver impactful presentations.
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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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 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 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 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 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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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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In this challenge lab, you will demonstrate your ability to author agents using Agent Development Kit (ADK), deploy those agents to Agent Engine, and use them from a web app. Complete the challenge lab to earn a Google Cloud skill badge.
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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 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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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!
This course explores how to leverage Looker to create data experiences and gain insights with modern business intelligence (BI) and reporting.
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This course goes beyond the basics of Looker Studio to explore the powerful features and capabilities of Looker Studio Pro. Learn how to leverage team workspaces for efficient collaboration, enhance data security and administration, and utilize Google Cloud Customer Care for support. Discover premium features that elevate your data visualization and reporting capabilities. This course is designed for users who already have a foundational understanding of Looker Studio and want to unlock its full potential for their business or organization.
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IMPORTANT NOTE: There are only 2 attempts allowed for the knowledge test. If you don't pass you have to wait 14 days before your second and final attempt. Preparation and study are essential. Looker Services Knowledge Test: This comprehensive test validates advanced proficiency in Looker administration and development. Candidates will demonstrate their ability to:
Administer and Maintain Looker Instances: Provision and configure Looker Cloud Core, establish database connections, manage authentication and authorization, analyze performance, and integrate with Google Cloud services.
Develop and Optimize LookML Models: Design and implement complex LookML models, create derived tables, optimize performance, utilize Looker Marketplace blocks, manage Git deployments, and troubleshoot LookML and SQL errors. This advanced certification requires existing badge holders to re-validate their skills on the updated LookML content.
For learners familiar with Looker:
If you're familiar with Looker t…
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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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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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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.
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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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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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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 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 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!
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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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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.
“生成式 AI 智能体：助力组织转型”是“Gen AI Leader”学习路线中的第五门课程，也是最后一门课程。本课程探讨了组织如何使用量身定制的生成式 AI 智能体，帮助应对特定的业务挑战。您将亲自动手构建一个基本的生成式 AI 智能体，并探索这些智能体的组成部分，例如模型、推理循环以及各种工具。
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“生成式 AI 应用：改变工作方式”是 Generative AI Leader 学习路线的第四门课程。本课程介绍 Google 的生成式 AI 应用，例如 Gemini for Workspace 和 NotebookLM。它将引导您逐一了解接地、检索增强生成、构建有效提示和构建自动化工作流等概念。
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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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This course introduces AI Applications. You will learn about the types of apps that you can create using AI Applications, the high-level steps that its data stores automate for you, and what advanced features can be enabled for Search apps.
(Please note Gemini Enterprise was previously named Google Agentspace, there may be references to the previous product name in this course.)
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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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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.
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本课程介绍了 Responsible AI 的概念和 AI 原则，还介绍了在 AI/机器学习实践中识别公平性与偏见以及减少偏见的实用技巧，同时探索了使用 Google Cloud 产品和开源工具来实施 Responsible AI 最佳实践的实用方法和工具。
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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.
在本课程中，您将了解 Gemini（Google Cloud 推出的一款依托生成式 AI 的协作工具）如何帮助您保护您的云环境和资源。您将学习如何将示例工作负载部署到 Google Cloud 环境中，以及如何借助 Gemini 识别和修复安全配置错误。您可以通过实操实验了解如何利用 Gemini 来改善云安全状况。
Duet AI 已更名为 Gemini，这是我们的新一代模型。
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在本课程中，您将了解 Gemini（Google Cloud 的生成式 AI 赋能的协作工具）如何帮助管理员预配基础设施。您将了解如何通过输入提示来让 Gemini 解释基础设施、GKE 集群的部署，以及现有基础设施的更新。您可以通过实操实验了解如何利用 Gemini 来改进 GKE 部署工作流。
Duet AI 已更名为 Gemini，这是我们的新一代模型。
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(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.
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完成构建安全的 Google Cloud 网络课程，赢取技能徽章。在此课程中，您将了解与网络有关的众多 资源，以便在 Google Cloud 上构建、扩缩和保护自己的应用。
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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.
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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.
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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.
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(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.
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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.
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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.
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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 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.
This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to use them to create conversational agents.
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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task.
Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
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This course helps developers customize Chronicle and augment its abilities with third party integrations.
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This course helps you understand how to use Chronicle to properly handle security incidents.
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This course will familiarize you with the core functionality of Chronicle, including the user interface, connections, and settings.
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Learn the technical aspects you need to know about Chronicle and how it can help you detect and action threats.
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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 you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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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.
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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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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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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。
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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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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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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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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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Planning for a Google Workspace Deployment is the final course in the Google Workspace Administration series.
In this course, you will be introduced to Google's deployment methodology and best practices. You will follow Katelyn and Marcus as they plan for a Google Workspace deployment at Cymbal. They'll focus on the core technical project areas of provisioning, mail flow, data migration, and coexistence, and will consider the best deployment strategy for each area.
You will also be introduced to the importance of Change Management in a Google Workspace deployment, ensuring that users make a smooth transition to Google Workspace and gain the benefits of work transformation through communications, support, and training.
This course covers theoretical topics, and does not have any hands on exercises. If you haven’t already done so, please cancel your Google Workspace trial now to avoid any unwanted charges.
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This course empowers learners to secure their Google Workspace environment. Learners will implement strong password policies and two-step verification to govern user access. They will then utilize the security investigation tool to proactively identify and respond to security risks. Next, they will manage third-party app access and mobile devices to ensure security. Finally, learners will enforce email security and compliance measures to protect organizational data.
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Earn a skill badge by completing the Configure your Workplace: Google Workspace for IT Admins quest, where you will get try out the Admin role for Workspace and learn to provision Groups, manage applications, security, and manage Meet. 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 skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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If you want to take your Google Cloud networking skills to the next level, look no further. This course is composed of labs that cover real-life use cases and it will teach you best practices for overcoming common networking bottlenecks. From getting hands-on practice with testing and improving network performance, to integrating high-throughput VPNs and networking tiers, Network Performance and Optimization is an essential course for Google Cloud developers who are looking to double down on application speed and robustness.
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完成在 Google Cloud 上实施云安全基础措施技能徽章中级课程， 展示自己在以下方面的技能：使用 Identity and Access Management (IAM) 创建和分配角色； 创建和管理服务账号；跨虚拟私有云 (VPC) 网络实现专用连接； 使用 Identity-Aware Proxy 限制应用访问权限； 使用 Cloud Key Management Service (KMS) 管理密钥和加密数据；创建专用 Kubernetes 集群。
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Welcome to the second course in the networking and Google Cloud series routing and addressing.
In this course, we'll cover the central routing and addressing concepts that are relevant to Google Cloud's networking capabilities.
Module one will lay the foundation by exploring network routing and addressing in Google Cloud, covering key building blocks such as routing IPv4, bringing your own IP addresses and setting up cloud DNS. In Module two will shift our focus to private connection options, exploring use cases and methods for accessing Google and other services privately using internal IP addresses.
By the end of this course, you'll have a solid grasp of how to effectively route and address your network traffic within Google Cloud.
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Networking in Google cloud is a 6 part course series. Welcome to the first course of our six part course series, Networking in Google Cloud: Fundamentals.
This course provides a comprehensive overview of core networking concepts, including networking fundamentals, virtual private clouds (VPCs), and the sharing of VPC networks. Additionally, the course covers network logging and monitoring techniques.
Plan Change Management for Gemini Enterprise Deployments
Earned Apr 1, 2026 EDT
在 Google 表格中使用函数、公式和图表
Earned Apr 1, 2026 EDT
Migrate MySQL to Cloud Spanner
Earned Apr 1, 2026 EDT
创建和管理 Cloud Spanner 实例
Earned Apr 1, 2026 EDT
Building Scalable Java Microservices with Spring Boot and Spring Cloud
Earned Mar 31, 2026 EDT
Configure Federated Spanner Connections with BigQuery
Earned Mar 31, 2026 EDT
Oracle to Cloud Spanner
Earned Mar 31, 2026 EDT
AWS EC2 to Compute Engine
Earned Mar 31, 2026 EDT
Google Cloud 重要基础设施：基础
Earned Mar 31, 2026 EDT
Migrate Virtual Machines to Google Cloud
Earned Mar 31, 2026 EDT
在 Google Cloud 上使用 Terraform 构建基础设施
Earned Mar 31, 2026 EDT
为 AWS 专业人员构建 Google Cloud 基础设施
Earned Mar 30, 2026 EDT
Introduction to Agent Assist and its GenAI Capabilities
Earned Feb 25, 2026 EST
Build and Deploy Customer Experience Agents
Earned Feb 25, 2026 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned Feb 24, 2026 EST
Customer Experience Agent Studio: Fundamentals
Earned Feb 24, 2026 EST
Leverage data with Customer Experience Insights
Earned Feb 24, 2026 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned Feb 23, 2026 EST
Performance Measurement
Earned Feb 23, 2026 EST
Developing Applications with Cloud Run Functions on Google Cloud
Earned Dec 2, 2025 EST
在 Google Cloud 上实现 CI/CD 流水线
Earned Dec 2, 2025 EST
借助 Firebase 开发无服务器应用
Earned Dec 2, 2025 EST
在 Cloud Run 上开发无服务器应用
Earned Dec 2, 2025 EST
Google Cloud Run Serverless Workshop
Earned Dec 1, 2025 EST
Security Command Center Enterprise 使用入门
Earned Nov 27, 2025 EST
使用 Security Command Center 消除威胁和漏洞
Earned Nov 27, 2025 EST
可靠的 Google Cloud 基础设施: 设计和流程
Earned Nov 27, 2025 EST
Security Command Center: Identify and Prioritize Risks
Earned Nov 27, 2025 EST
Build AI/ML Models on Google Cloud
Earned Nov 25, 2025 EST
Deliver Effective Product Demos
Earned Nov 21, 2025 EST
Discover Business Value for Customers
Earned Nov 21, 2025 EST
Deploy and Evaluate Model Garden Models
Earned Nov 14, 2025 EST
Create and maintain Vertex AI Search data stores
Earned Nov 13, 2025 EST
Extend Gemini Enterprise Assistant Capabilities
Earned Nov 13, 2025 EST
Configure AI Applications to optimize search results
Earned Nov 13, 2025 EST
Deploy a RAG application with vector search in Firestore
Earned Nov 12, 2025 EST
Deploy an Agent with Agent Development Kit (ADK)
Earned Nov 12, 2025 EST
Edit images with Imagen
Earned Nov 12, 2025 EST
Extend Gemini with controlled generation and Tool use
Earned Nov 12, 2025 EST
Build search and recommendations applications with AI Applications
Earned Nov 12, 2025 EST
在 Looker 中管理数据模型
Earned Oct 20, 2025 EDT
Data Warehousing for Partners: Analyze Data with Looker
Earned Oct 17, 2025 EDT
Looker Studio Pro Essentials
Earned Oct 17, 2025 EDT
Looker Services Knowledge Test
Earned Oct 17, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned Oct 17, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned Oct 17, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned Oct 17, 2025 EDT
Conversational AI Voice and Chat Integrations
Earned Oct 17, 2025 EDT
Create Data Stores for Gen AI Applications
Earned Oct 17, 2025 EDT
Recommendations with AI Applications
Earned Oct 17, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned Oct 17, 2025 EDT
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned Oct 15, 2025 EDT
Improve customer and agent satisfaction with Agent Assist
Earned Oct 15, 2025 EDT
Analyze patterns in conversational data with Customer Experience Insights
Earned Oct 15, 2025 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned Oct 15, 2025 EDT
Build basic Conversational Agents with Playbooks and Flows
Earned Oct 15, 2025 EDT
Customer Experience with Google AI Architecture
Earned Jul 14, 2025 EDT
从 BigQuery 数据中挖掘数据洞见
Earned Jun 12, 2025 EDT
生成式 AI 智能体：助力组织转型
Earned May 17, 2025 EDT
生成式 AI 应用：改变工作方式
Earned May 17, 2025 EDT
生成式 AI: 全面了解生成式 AI
Earned May 17, 2025 EDT
生成式 AI：剖析基本概念
Earned May 17, 2025 EDT
生成式 AI：不只是聊天机器人
Earned May 17, 2025 EDT
Introduction to AI Applications
Earned May 16, 2025 EDT
借助 Gemini Enterprise 加速知识交流
Earned May 16, 2025 EDT
Improving developer velocity with Gemini Code Assist
Earned Jul 3, 2024 EDT
面向开发者的 Responsible AI：公平性与偏见
Earned Jul 3, 2024 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned Jun 24, 2024 EDT
使用多模态 Gemini 和多模态 RAG 检查富文档
Earned Jun 24, 2024 EDT
适用于安全工程师的 Gemini
Earned Jun 20, 2024 EDT
适用于云架构师的 Gemini
Earned Jun 20, 2024 EDT
Building Gen AI Apps with Vertex AI: Prompting and Tuning
Earned Jun 6, 2024 EDT
构建安全的 Google Cloud 网络
Earned Jun 6, 2024 EDT
App Dev with Gemini
Earned Jun 5, 2024 EDT
Multimodality with Gemini
Earned Jun 5, 2024 EDT
Getting Started with the Vertex AI Gemini API
Earned Jun 5, 2024 EDT
Search with AI Applications
Earned Jun 5, 2024 EDT
Custom Search with Embeddings in Vertex AI
Earned Jun 5, 2024 EDT
Develop Advanced Enterprise Search and Conversation Applications
Earned May 31, 2024 EDT
矢量搜索和嵌入
Earned May 31, 2024 EDT
Implementing Generative AI with Vertex AI
Earned May 31, 2024 EDT
创建图片标注模型
Earned May 31, 2024 EDT
Transformer 模型和 BERT 模型
Earned May 31, 2024 EDT
编码器-解码器架构
Earned May 31, 2024 EDT
注意力机制
Earned May 31, 2024 EDT
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned May 31, 2024 EDT
Text Prompt Engineering Techniques
Earned May 30, 2024 EDT
Stateful Flows
Earned May 30, 2024 EDT
Scaling with Google Cloud Operations
Earned Mar 8, 2024 EST
Preparing for Your Professional Cloud Security Engineer Journey
Earned Mar 8, 2024 EST
Google Security Operations - SOAR Developer
Earned Mar 8, 2024 EST
Google Security Operations - SOAR Analyst
Earned Mar 8, 2024 EST
[DEPRECATED] SOAR Fundamentals
Earned Mar 8, 2024 EST
Security Practices with Google Security Operations - SIEM
Earned Mar 8, 2024 EST
Developing a Google SRE Culture
Earned Mar 6, 2024 EST
Preparing for Your Associate Cloud Engineer Journey
Earned Mar 6, 2024 EST
Modernize Infrastructure and Applications with Google Cloud
Earned Mar 6, 2024 EST
Develop Advanced Enterprise Search and Conversation Applications
Earned Mar 6, 2024 EST
Generative AI Explorer : Vertex AI
Earned Mar 5, 2024 EST
Text Prompt Engineering Techniques
Earned Mar 5, 2024 EST
图像生成简介
Earned Mar 5, 2024 EST
Vertex AI Studio 简介
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