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Google

Create Conversational AI Agents with Dialogflow CX

Google via Qwiklabs

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Overview

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.

Syllabus

  • What is Dialogflow CX?
  • Creating a single-flow conversational agent
  • What is a pre-built agent in Dialogflow CX?
  • Dialogflow CX: Bot Building Basics
    • Build a conversational agent using Dialogflow CX
  • Dialogflow CX: Managing Environments
    • In this lab you will continue using a virtual agent and learn how to create versions, environments, and test your bot
  • Dialogflow CX: Enable IVR Features for your Voice Agent
    • Build a conversational agent that include IVR features that Dialogflow CX provides.
  • Dialogflow CX: Parameter Manipulation
    • In this lab you will use regular expressions to do parameter validation (e.g., on a PNR Number) and reset parameters to null when the user starts a new flow of conversation.
  • Dialogflow CX: Contextual Intents
    • In this lab you will learn how to use some advanced Dialogflow CX features, like how to let a user ask your virtual agent to repeat what it said; let the user ask common questions from your FAQ in the middle of another conversation; ask context-sensitive questions, and add conversational branching and looping based on current values in the session parameters.
  • Create Conversational AI agents with Dialogflow CX: Challenge Lab
    • This challenge lab tests your skills and knowledge in using Dialogflow CX to build a virtual agent to interact with customers.

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