가입 로그인

Suresh Krishna Vasa

회원 가입일: 2022

BigQuery로 임베딩, 벡터 검색, RAG 만들기 Earned 9월 28, 2026 EDT
Introduction to Gemini for customer experience Earned 6월 25, 2026 EDT
Build and Deploy Customer Experience Agents Earned 5월 18, 2026 EDT
Customer Experience Agent Studio: 기본사항 Earned 3월 22, 2026 EDT
생성형 AI: 챗봇 그 이상의 가치 Earned 9월 15, 2025 EDT
생성형 플레이북으로 에이전트 만들기 Earned 7월 28, 2025 EDT
[DEPRECATED] Webhook fundamentals Earned 7월 21, 2025 EDT
생성형 AI 소개 Earned 7월 15, 2025 EDT
대규모 언어 모델 소개 Earned 7월 14, 2025 EDT
Configure and Maintain CCaaS as an Admin Earned 5월 20, 2025 EDT
Manage Functions and Reporting with CCaaS Earned 3월 19, 2025 EDT
Handle Consumer Interactions with CCaaS Earned 3월 2, 2025 EST
대화형 AI 및 응대 프레임워크 Earned 10월 29, 2024 EDT
Virtual Agent Development in Dialogflow CX for Software Devs Earned 7월 25, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs Earned 7월 20, 2023 EDT
DEPRECATED Create Conversational AI Agents with Dialogflow CX Earned 7월 14, 2023 EDT
[DEPRECATED] - Building Conversational Experiences with Dialogflow Earned 7월 11, 2023 EDT
CCAI Operations and Implementation Earned 6월 15, 2023 EDT
[DEPRECATED] Contact Center AI: Conversational Design Fundamentals Earned 6월 8, 2023 EDT

이 과정에서는 AI 할루시네이션을 완화하는 BigQuery의 검색 증강 생성(RAG) 솔루션을 살펴봅니다. 임베딩 만들기, 벡터 공간 검색, 개선된 응답 생성을 포함한 RAG 워크플로를 소개합니다. 또한 이 과정은 이러한 단계의 배경이 되는 개념을 설명하고 BigQuery를 통한 실질적인 구현 과정을 살펴봅니다. 이 과정을 마친 학습자는 BigQuery와 Gemini 및 임베딩 모델 같은 생성형 AI 모델을 사용하여 자신의 AI 할루시네이션 사용 사례를 해결하는 RAG 파이프라인을 빌드할 수 있게 됩니다.

자세히 알아보기

This course explores the different products and capabilities of Gemini for customer experience, including CX Agent Studio, Agent Assist and CX Insights. Additionally, it covers the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel.

자세히 알아보기

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 for customer experience, and third party telephony and CCaaS integrations with providers such as Twillio or Salesforce.

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이 과정은 대화형 설계자와 빌더가 Customer Experience Agent Studio(CX Agent Studio)를 사용하여 정교한 멀티 에이전트 및 멀티모달 고객 경험 에이전트를 설계, 빌드, 테스트하는 데 필요한 개념과 실무 기술을 갖추도록 돕는 것을 목표로 합니다.

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생성형 AI: 챗봇 그 이상의 가치는 Gen AI Leader 학습 과정의 첫 번째 과정이며 기본 요건은 따로 없습니다. 이 과정은 챗봇에 대한 기본적인 이해를 넘어 조직을 위한 생성형 AI의 진정한 잠재력을 살펴보는 것을 목표로 합니다. 생성형 AI의 강력한 기능을 활용하는 데 중요한 파운데이션 모델과 프롬프트 엔지니어링과 같은 개념을 살펴봅니다. 또한 조직을 위한 성공적인 생성형 AI 전략을 개발할 때 고려해야 할 중요한 사항을 안내합니다.

자세히 알아보기

이 과정에서는 생성형 플레이북을 사용하여 대화형 에이전트의 대화형 환경을 빌드하는 방법을 알아봅니다. 플레이북에 대한 소개로 시작하여 첫 번째 플레이북을 설정하는 방법을 알아봅니다. 또한 할당량 한도 및 통합과 같은 주요 프로덕션 고려사항과 함께 테스트의 중요성에 대해서도 알아봅니다. 과정의 마지막에는 생성형 조정을 위한 플레이북 사용 방법을 보여주는 우수사례를 살펴봅니다.

자세히 알아보기

In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.

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

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

Configure and Maintain CCaaS as an Admin is a course that provides end users with essential learning about the core features, functionality, reporting, and configuration information most relevant to the role. This course is most appropriate for those who perform administrative functions to support the operation of the contact center as well as analyze, troubleshoot, and configure the platform to best meet the demands of customers. Although this program will review some monitoring and reporting aspects, those topics are explored in depth in the course titled "Managing Functions and Reporting with CCaSS." Explore other content in the Gemini Agent Ready (GEAR) program.

자세히 알아보기

Manage Functions and Reporting with CCaaS provides end-users with essential training about the core features, functionality, monitoring, reporting, and configuration information that is most relevant to the role. This course is most appropriate for those at the managerial level of the contact center who are tasked with monitoring the effectiveness, efficiency, and KPI attainment for all consumer interactions. While this program will review some aspects of settings and configuration options, the major focus is on reporting functionality in CCaaS.

자세히 알아보기

This course teaches contact center agents about the core agent features and functionality in Contact Center as a Service (CCaaS). CCaaS is a unified contact center platform that accelerates an organization's ability to leverage and deploy contact centers without relying on multiple technology providers. This course is most appropriate for those who handle consumer interactions via chat and call.

자세히 알아보기

Gemini Enterprise for Customer Experience(GECX)와 강력한 생성형 AI 기능에 관한 이 과정을 통해 고객 서비스에 대해 깊이 있게 이해해 보세요. 먼저 고객센터의 지난 여정을 짚어보며 고객센터가 어떻게 발전해 왔고 생성형 AI가 어떤 변화를 가져오고 있는지 알아봅니다. 그런 다음 GECX 솔루션의 핵심 구성요소를 자세히 살펴보고 각 구성요소가 탁월한 고객 경험을 제공하는 데 어떻게 기여하는지 알아봅니다. 마지막으로 GECX의 강력한 비즈니스 사례와 함께 실용적인 사용 사례, 이 혁신적인 솔루션을 활용하는 다양한 사용자 페르소나에 대해 살펴보며 과정을 마무리합니다.

자세히 알아보기

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.

자세히 알아보기

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.

자세히 알아보기

Earn a skill badge by completing the Create Conversational AI Agents with Dialogflow CX quest, where you will learn how to create a conversational virtual agent, including how to: define intents and entities, use versions and environments, create conversational branching, and use IVR 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 this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

자세히 알아보기

This course provides a deep dive into how to create a chatbot using Dialogflow, augment it with Cloud Natural Language API and operationalize it using Google Cloud tools.

자세히 알아보기

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…

자세히 알아보기

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.

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