Extend Conversational Agents Functionality with Webhooks and Tools
Earned 5月 4, 2026 EDT
Demonstrate the ability to create and deploy generative virtual agents with natural language using Vertex AI Agent Builder and augment responses by integrating Gemini responses with third party APIs and your own data stores
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Gemini
Cloud Functions
詳細
Demonstrate the ability to create and deploy deterministic virtual agents using Dialgflow CX and augment responses by grounding results on your own data integrating with Vertex AI Agent Builder data stores and leveraging Gemini for summarizations.
You will use the following technologies and Google Cloud services:
Vertex AI Agent Builder
Dialogflow CX
Gemini
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
Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
This course will equip you with the tools to develop complex conversational experiences in Conversational Agents using best practices to create production-ready agents.
詳細
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.
詳細
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.
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).
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
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!
詳細
The objective of this challenge lab is to demonstrate your proficiency configuring agents in CX Agent Studio. You create agents, sub-agents and tools and run conversations in the preview agent.
詳細
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.
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.
Build generative virtual agents with API integrations
Earned 6月 7, 2026 EDT
Build deterministic Virtual Agent enhanced with data stores
Earned 6月 4, 2026 EDT
柔軟性のある Google Cloud インフラストラクチャ: スケーリングと自動化
Earned 6月 2, 2026 EDT
Google Kubernetes Engine を使ってみる
Earned 5月 29, 2026 EDT
Incorporate Generative Features into Conversational Agent Flows
Earned 5月 28, 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 5月 28, 2026 EDT
Text Prompt Engineering Techniques
Earned 5月 25, 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 25, 2026 EDT
Build Production-Ready Conversational Agents
Earned 5月 24, 2026 EDT
Google Cloud: Prompt Engineering Guide
Earned 5月 23, 2026 EDT
Create Agents with Generative Playbooks
Earned 5月 21, 2026 EDT
重要な Google Cloud インフラストラクチャ: コアサービス
Earned 5月 11, 2026 EDT
Customer Experience Agent Studio: Fundamentals
Earned 5月 10, 2026 EDT
Conversational AI Voice and Chat Integrations
Earned 5月 10, 2026 EDT
Introduction to Gemini Enterprise for Customer Experience
Earned 5月 7, 2026 EDT
Extend virtual agents with webhooks, tools, and Messenger integration
Earned 5月 7, 2026 EDT
Build agents with CX Agent Studio
Earned 5月 7, 2026 EDT
Create Conversational Agents with Stateful Flows
Earned 5月 4, 2026 EDT
Extend Conversational Agents Functionality with Webhooks and Tools
Earned 5月 4, 2026 EDT