Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned 12월 13, 2025 EST
Build basic Conversational Agents with Playbooks and Flows
Earned 12월 12, 2025 EST
Analyze patterns in conversational data with Customer Experience Insights
Earned 12월 10, 2025 EST
Improve customer and agent satisfaction with Agent Assist
Earned 12월 10, 2025 EST
Build Production-Ready Conversational Agents
Earned 12월 9, 2025 EST
Agent Summarization (Custom)
Earned 12월 9, 2025 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned 12월 9, 2025 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned 12월 5, 2025 EST
Performance Measurement
Earned 12월 2, 2025 EST
Customer Experience with Google AI Architecture
Earned 12월 2, 2025 EST
Extend virtual agents with webhooks, tools, and Messenger integration
Earned 12월 1, 2025 EST
Extend CX Agents with Vertex AI Search data stores
Earned 12월 1, 2025 EST
Incorporate Generative Features into Conversational Agent Flows
Earned 11월 28, 2025 EST
Create Conversational Agents with Stateful Flows
Earned 11월 28, 2025 EST
Generative Playbooks
Earned 11월 21, 2025 EST
Leverage data with Customer Experience Insights
Earned 11월 17, 2025 EST
Conversational AI Voice and Chat Integrations
Earned 11월 12, 2025 EST
Extend Conversational Agents Functionality with Webhooks and Tools
Earned 11월 12, 2025 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned 11월 3, 2025 EST
Extend Gemini Enterprise Assistant Capabilities
Earned 10월 31, 2025 EDT
Configure AI Applications to optimize search results
Earned 10월 31, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned 10월 30, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned 10월 29, 2025 EDT
Introduction to NotebookLM
Earned 10월 29, 2025 EDT
Gemini Enterprise로 더 신속하게 지식 교환
Earned 10월 29, 2025 EDT
Introduction to AI Applications
Earned 10월 28, 2025 EDT
Recommendations with AI Applications
Earned 10월 24, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned 10월 24, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned 10월 24, 2025 EDT
Build search and recommendations applications with AI Applications
Earned 10월 24, 2025 EDT
Create Data Stores for Gen AI Applications
Earned 10월 23, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned 10월 23, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models
Earned 10월 21, 2025 EDT
Deploy and Evaluate Model Garden Models
Earned 10월 21, 2025 EDT
Find, Explore and Deploy Model Garden Models
Earned 10월 21, 2025 EDT
Evaluate Gen AI model and agent performance
Earned 10월 20, 2025 EDT
Edit images with Imagen
Earned 9월 25, 2025 EDT
에이전트 개발 키트(ADK) 및 Agent Engine으로 멀티 에이전트 시스템 배포하기
Earned 9월 3, 2025 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned 11월 8, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned 10월 2, 2024 EDT
Apigee X 배포 및 관리하기
Earned 9월 12, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned 9월 11, 2024 EDT
대규모 언어 모델 소개
Earned 1월 24, 2024 EST
Text Prompt Engineering Techniques
Earned 1월 16, 2024 EST
Rapid Migration & Modernization Program
Earned 11월 7, 2023 EST
Generative AI for Business Leaders
Earned 10월 31, 2023 EDT
Google Cloud Marketplace SaaS Onboarding
Earned 10월 5, 2023 EDT
생성형 AI 소개
Earned 9월 13, 2023 EDT
Anthos: Service Mesh
Earned 12월 28, 2020 EST
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…
자세히 알아보기
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!
자세히 알아보기
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!
자세히 알아보기
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!
자세히 알아보기
This course will equip you with the tools to develop complex conversational experiences in Conversational Agents using best practices to create production-ready agents.
자세히 알아보기
In this course you will learn how Conversational AI Agent Assist can help distill complex customer interactions into concise and clear summaries. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
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!
자세히 알아보기
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.
자세히 알아보기
Explore the Generative AI features for Conversational Agents and how to incorporate them into stateful Flows.
Discover the possibilities with Generators, Generative Fallback, and Data Stores, as well as best practices and security settings for using these features.
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
Connect conversational agents to external systems and APIs to expand what agents can do, designing an end-to-end system that is resilient, fault-tolerant and secure.
자세히 알아보기
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.
자세히 알아보기
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!
자세히 알아보기
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!
자세히 알아보기
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.)
자세히 알아보기
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!
자세히 알아보기
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.
자세히 알아보기
직원들이 검색창 하나로 문서 스토리지, 이메일, 채팅, 티켓 시스템, 기타 데이터 소스에서 특정 정보를 찾을 수 있도록 설계된 강력한 도구인 Gemini Enterprise에는 Google의 전문적인 검색 및 AI 기술이 통합되어 있습니다. 또한 Gemini Enterprise 어시스턴트를 사용하면 브레인스토밍 및 조사는 물론 문서 개요를 작성하고 캘린더 일정에 동료를 초대하는 등의 작업에 도움이 되므로 직원들이 지식 관련 작업과 모든 종류의 협업을 빠르게 진행할 수 있습니다.
(Gemini Enterprise의 이전 명칭은 Google Agentspace였으며, 이 과정에서 이전 제품 이름이 언급될 수 있습니다.)
자세히 알아보기
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.)
자세히 알아보기
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.
자세히 알아보기
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.)
자세히 알아보기
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.)
자세히 알아보기
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!
자세히 알아보기
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.
자세히 알아보기
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!
자세히 알아보기
Model tuning is an effective way to customize large models to your tasks. It's a key step to improve the model's quality and efficiency. Model tuning provides benefits such as higher quality results for your specific tasks and increased model robustness. You learn some of the tuning options available in Vertex AI and when to use them.
자세히 알아보기
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.
자세히 알아보기
Model Garden is a model library that helps you discover, test, and deploy models from Google and Google partners. Learn how to explore the available models and select the right ones for your use case. And how to deploy and interact with Model Garden models through the Google Cloud console and APIs.
자세히 알아보기
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!
자세히 알아보기
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!
자세히 알아보기
이 과정에서는 Google 에이전트 개발 키트를 사용하여 복잡한 멀티 에이전트 시스템을 빌드하는 방법을 학습합니다. 학습자는 도구를 갖춘 에이전트를 빌드하고 상하위 관계 및 흐름을 사용해 여러 에이전트를 연결하여 상호작용 방식을 정의해 봅니다. 에이전트를 로컬로 실행하고 Vertex AI Agent Engine에 배포하여 인프라 결정과 Agent Engine에서 처리하는 리소스 확장에 따른 관리형 에이전트 흐름으로 실행합니다.
이 실습은 이 제품의 출시 전 버전을 기반으로 합니다. 유지보수 업데이트를 제공하는 동안에는 이러한 실습에 약간의 지연이 있을 수 있습니다.
자세히 알아보기
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.
자세히 알아보기
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.
자세히 알아보기
Apigee X 배포 및 관리하기 기술 배지 과정을 완료하여 기술 배지를 획득하세요. 이 과정에서는 Apigee X 아키텍처, Google Cloud 프로젝트 내에서 Apigee X 조직을 프로비저닝하는 방법, Apigee API 및 UI를 사용한 Apigee X 관리, API 보호를 위한 Cloud Armor 및 Apigee 위협 보호 정책 사용에 관해 배울 수 있습니다.
자세히 알아보기
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
자세히 알아보기
이 과정은 입문용 마이크로 학습 과정으로, 대규모 언어 모델(LLM)이란 무엇이고, LLM을 활용할 수 있는 사용 사례로는 어떤 것이 있으며, 프롬프트 조정을 사용해 LLM 성능을 개선하는 방법은 무엇인지 알아봅니다. 또한 자체 생성형 AI 앱을 개발하는 데 도움이 되는 Google 도구에 대해서도 다룹니다.
자세히 알아보기
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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The Google Cloud Rapid Migration & Modernization Program (RaMP) is a holistic, end-to-end migration/modernization program that helps customers & partners leverage expertise and best practices, lower risk, control costs, and simplify a customer's path to cloud success. This course will give an overview of the program and some of the tools and best practices available to support customer migrations & modernizations.
자세히 알아보기
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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This course will walk you through the process of Google Cloud Marketplace SaaS Onboarding.
자세히 알아보기
생성형 AI란 무엇이고 어떻게 사용하며 전통적인 머신러닝 방법과는 어떻게 다른지 설명하는 입문용 마이크로 학습 과정입니다. 직접 생성형 AI 앱을 개발하는 데 도움이 되는 Google 도구에 대해서도 다룹니다.
자세히 알아보기
This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on GCP. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.
Leverage best practices for developing, operating, and securing production-grade Conversational Agents
Earned 12월 13, 2025 EST
Build basic Conversational Agents with Playbooks and Flows
Earned 12월 12, 2025 EST
Analyze patterns in conversational data with Customer Experience Insights
Earned 12월 10, 2025 EST
Improve customer and agent satisfaction with Agent Assist
Earned 12월 10, 2025 EST
Build Production-Ready Conversational Agents
Earned 12월 9, 2025 EST
Agent Summarization (Custom)
Earned 12월 9, 2025 EST
Integrate Agent Assist with Telephony and Chatbot Systems
Earned 12월 9, 2025 EST
Introduction to Agent Assist and its GenAI Capabilities
Earned 12월 5, 2025 EST
Performance Measurement
Earned 12월 2, 2025 EST
Customer Experience with Google AI Architecture
Earned 12월 2, 2025 EST
Extend virtual agents with webhooks, tools, and Messenger integration
Earned 12월 1, 2025 EST
Extend CX Agents with Vertex AI Search data stores
Earned 12월 1, 2025 EST
Incorporate Generative Features into Conversational Agent Flows
Earned 11월 28, 2025 EST
Create Conversational Agents with Stateful Flows
Earned 11월 28, 2025 EST
Generative Playbooks
Earned 11월 21, 2025 EST
Leverage data with Customer Experience Insights
Earned 11월 17, 2025 EST
Conversational AI Voice and Chat Integrations
Earned 11월 12, 2025 EST
Extend Conversational Agents Functionality with Webhooks and Tools
Earned 11월 12, 2025 EST
Introduction to Gemini Enterprise for Customer Experience and Conversational Agents
Earned 11월 3, 2025 EST
Extend Gemini Enterprise Assistant Capabilities
Earned 10월 31, 2025 EDT
Configure AI Applications to optimize search results
Earned 10월 31, 2025 EDT
Improve Vertex AI Search and Gemini Enterprise Search Results
Earned 10월 30, 2025 EDT
Create and maintain Vertex AI Search data stores
Earned 10월 29, 2025 EDT
Introduction to NotebookLM
Earned 10월 29, 2025 EDT
Gemini Enterprise로 더 신속하게 지식 교환
Earned 10월 29, 2025 EDT
Introduction to AI Applications
Earned 10월 28, 2025 EDT
Recommendations with AI Applications
Earned 10월 24, 2025 EDT
Vertex AI Search and Gemini Enterprise Analytics
Earned 10월 24, 2025 EDT
Vertex AI Search and Gemini Enterprise UI Configurations
Earned 10월 24, 2025 EDT
Build search and recommendations applications with AI Applications
Earned 10월 24, 2025 EDT
Create Data Stores for Gen AI Applications
Earned 10월 23, 2025 EDT
Create media search and media recommendations applications with AI Applications
Earned 10월 23, 2025 EDT
Improve Performance by Fine-Tuning Foundation Models
Earned 10월 21, 2025 EDT
Deploy and Evaluate Model Garden Models
Earned 10월 21, 2025 EDT
Find, Explore and Deploy Model Garden Models
Earned 10월 21, 2025 EDT
Evaluate Gen AI model and agent performance
Earned 10월 20, 2025 EDT
Edit images with Imagen
Earned 9월 25, 2025 EDT
에이전트 개발 키트(ADK) 및 Agent Engine으로 멀티 에이전트 시스템 배포하기
Earned 9월 3, 2025 EDT
Build and Deploy a Generative AI solution using a RAG framework
Earned 11월 8, 2024 EST
Integrate Vertex AI Search and Conversation into Voice and Chat Apps
Earned 10월 2, 2024 EDT
Apigee X 배포 및 관리하기
Earned 9월 12, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned 9월 11, 2024 EDT
대규모 언어 모델 소개
Earned 1월 24, 2024 EST
Text Prompt Engineering Techniques
Earned 1월 16, 2024 EST
Rapid Migration & Modernization Program
Earned 11월 7, 2023 EST
Generative AI for Business Leaders
Earned 10월 31, 2023 EDT
Google Cloud Marketplace SaaS Onboarding
Earned 10월 5, 2023 EDT
생성형 AI 소개
Earned 9월 13, 2023 EDT
Anthos: Service Mesh
Earned 12월 28, 2020 EST