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Sami Chowdhury

Member since 2025

Gold League

9500 points
Building a Virtual Agent with Dialogflow CX Earned May 30, 2025 EDT
Agent Assist and its Gen AI Capabilities Earned May 23, 2025 EDT
Create Agents with Generative Playbooks Earned May 21, 2025 EDT
Webhook fundamentals Earned May 14, 2025 EDT
Conversational AI on Vertex AI and Dialogflow CX Earned May 13, 2025 EDT

Learn how to build a basic virtual agent for your contact center using Dialogflow CX.

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Unlock the power of generative AI to create intelligent, automated agents. After completing this course, you'll be equipped to develop a data store agent that can instantly answer complex questions by automatically extracting and synthesizing information from your websites, documents, or structured data. Say goodbye to static FAQs—your new agent will provide dynamic, accurate answers and even surface the original source URLs, all with a simple and rapid setup.

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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.

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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.

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In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.

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