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Vasa Suresh Krishna

メンバー加入日: 2022

エンベディング作成、ベクトル検索、BigQuery での RAG Earned 9月 28, 2026 EDT
Introduction to Gemini for customer experience Earned 6月 25, 2026 EDT
Build and Deploy Customer Experience Agents Earned 5月 18, 2026 EDT
Customer Experience Agent Studio: 基礎 Earned 3月 22, 2026 EDT
生成 AI: chatbot を超えて Earned 9月 15, 2025 EDT
生成ハンドブックを使用してエージェントを作成する Earned 7月 28, 2025 EDT
[DEPRECATED] Webhook fundamentals Earned 7月 21, 2025 EDT
生成 AI の概要 Earned 7月 15, 2025 EDT
大規模言語モデルの概要 Earned 7月 14, 2025 EDT
Configure and Maintain CCaaS as an Admin Earned 5月 20, 2025 EDT
Manage Functions and Reporting with CCaaS Earned 3月 19, 2025 EDT
Handle Consumer Interactions with CCaaS Earned 3月 2, 2025 EST
会話型 AI とそのエンゲージメント フレームワーク Earned 10月 29, 2024 EDT
Virtual Agent Development in Dialogflow CX for Software Devs Earned 7月 25, 2023 EDT
Virtual Agent Development in Dialogflow CX for Citizen Devs Earned 7月 20, 2023 EDT
DEPRECATED Create Conversational AI Agents with Dialogflow CX Earned 7月 14, 2023 EDT
[DEPRECATED] - Building Conversational Experiences with Dialogflow Earned 7月 11, 2023 EDT
CCAI Operations and Implementation Earned 6月 15, 2023 EDT
[DEPRECATED] Contact Center AI: Conversational Design Fundamentals Earned 6月 8, 2023 EDT

このコースでは、BigQuery で検索拡張生成（RAG）ソリューションを使用して AI ハルシネーションを軽減する方法を説明します。エンベディングの作成、ベクトル空間の検索、改善された回答の生成を含む RAG ワークフローについて解説し、これらの手順の背後にある概念的な理由と、BigQuery を使用した実践的な実装方法についても説明します。このコースを完了すると、BigQuery、Gemini などの生成 AI モデル、エンベディング モデルを使用して RAG パイプラインを構築し、独自の AI ハルシネーションのユースケースに対処できるようになります。

詳細

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.

詳細

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.

詳細

このコースは、会話デザイナーとビルダーを対象としており、Customer Experience Agent Studio（CX Agent Studio）を使用して、高度なマルチエージェントのマルチモーダル カスタマー エクスペリエンス エージェントを設計、構築、テストするためのコンセプトと実践的なスキルを身に付けることを目的としています。

詳細

「生成 AI: chatbot を超えて」は、生成 AI リーダー学習プログラムの最初のコースで、前提条件はありません。このコースは、chatbot の基礎的な理解をさらに広げ、組織で実現できる生成 AI の真の可能性を把握することを目的としています。基盤モデルやプロンプト エンジニアリングなど、生成 AI の力を活用するうえで重要な概念も紹介します。また、このコースでは、組織において優れた生成 AI 戦略を策定する場合に検討するべき重要事項も見ていきます。

詳細

このコースでは、生成ハンドブックを使用して会話エージェントの会話エクスペリエンスを構築する方法を学びます。まず、ハンドブックの概要を説明し、最初のハンドブックを設定する方法を学びます。また、テストの重要性のほか、割り当て制限や統合などの本番環境に関する重要な考慮事項についても学びます。コースの最後には、生成ステアリングにハンドブックを使用する方法を示すケーススタディを用意しています。

詳細

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.

詳細

この入門レベルのマイクロラーニング コースでは、生成 AI の概要、利用方法、従来の ML の手法との違いについて説明します。独自の生成 AI アプリを作成する際に利用できる Google ツールも紹介します。

詳細

このコースは、大規模言語モデル（LLM）とは何か、どのようなユースケースで活用できるのか、プロンプトのチューニングで LLM のパフォーマンスを高めるにはどうすればよいかについて学習する、入門レベルのマイクロ ラーニング コースです。独自の生成 AI アプリを開発する際に利用できる Google ツールも紹介します。

詳細

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.

詳細

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.

詳細

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.

詳細

Gemini Enterprise for Customer Experience（GECX）とその強力な生成 AI 機能に関するこのコースを修了することで、カスタマー サービスに対する認識が変わります。まず、コンタクト センターの歩みをたどり、その進化の過程と、生成 AI が今後コンタクト センターにどのような展開をもたらすのかを理解します。次に、GECX ソリューションの中核となる構成要素について深く理解し、各コンポーネントがどのように連携して優れたカスタマー エクスペリエンスを実現しているのかを確認します。コースの最後では、GECX の堅牢なビジネスケース、実践的なユースケース、この革新的なソリューションのメリットを受けるさまざまなユーザー ペルソナについて詳しく見ていきます。

詳細

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.

詳細

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.

詳細

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.

詳細

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.

詳細

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…

詳細

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.

詳細