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.
詳細
このコースでは、アプリケーションを実行するための Cloud Run サーバーレス プラットフォームについて説明します。Cloud Run の基礎とそのリソースモデル、コンテナ ライフサイクルについて学習します。また、サービス ID、サービスへのアクセスを制御する方法、アプリケーションを Cloud Run にデプロイする前にローカルで開発、テストする方法も確認します。Google Cloud の他のサービスと統合して、フル機能のアプリケーションをビルドする方法も説明しています。
詳細
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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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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Google Cloud : Prompt Engineering Guide examines generative AI tools, how they work. We'll explore how to combine Google Cloud knowledge with prompt engineering to improve Gemini responses.
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This course will equip you with the tools to develop complex conversational experiences in Conversational Agents using best practices to create production-ready agents.
This course will teach you how to build conversational experiences for Conversational Agents using Generative Playbooks. You'll start with an introduction to playbooks and learn how to set up your first one. You'll also learn about the importance of testing, as well as key production considerations like quota limits and integration. The course concludes with a case study that shows how to use playbooks for generative steering.
詳細
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.
詳細
This course explores the different products and capabilities of Gemini Enterprise 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
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.
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.
Google Kubernetes Engine を使ってみる
Earned 6月 16, 2026 EDT
Incorporate Generative Features into Conversational Agent Flows
Earned 6月 16, 2026 EDT
Google Cloud で Cloud Run を使用したアプリケーション開発: 基礎
Earned 6月 15, 2026 EDT
Customer Experience Agent Studio: Fundamentals
Earned 6月 15, 2026 EDT
Text Prompt Engineering Techniques
Earned 5月 26, 2026 EDT
[DEPRECATED] Google Cloud: Prompt Engineering Guide
Earned 5月 23, 2026 EDT
Build Production-Ready Conversational Agents
Earned 5月 21, 2026 EDT
アプリケーションに適した Google Cloud データベースの選択
Earned 5月 21, 2026 EDT
Create Agents with Generative Playbooks
Earned 5月 16, 2026 EDT
Conversational AI Voice and Chat Integrations
Earned 5月 16, 2026 EDT
Introduction to Gemini Enterprise for Customer Experience
Earned 5月 16, 2026 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned 5月 12, 2026 EDT
重要な Google Cloud インフラストラクチャ: 基礎
Earned 5月 6, 2026 EDT
Create Conversational Agents with Stateful Flows
Earned 4月 28, 2026 EDT