Virtual Agent Development in Dialogflow ES for Citizen Devs (Coursera)

Through a combination of presentations, demos, and hands-on labs, participants learn how to create virtual agents.

This is an intermediate course, intended for learners with the following types of roles:

• Conversational designers: Designs the user experience of a virtual assistant. Translates the brand's business requirements into natural dialog flows.

• Citizen developers: Creates new business applications for consumption by others using high level development and runtime environments.

• Software developers: Codes computer software in a programming language (e.g., C++, Python, Javascript) and often using an SDK/API.
Prerequisite:

Before taking this course, learners should have completed the Contact Center AI: Conversational Design Fundamentals course.

What You Will Learn

- Implement a chat virtual agent using Dialogflow ES.

- Implement a voice virtual agent using Dialogflow ES.

- Identify best practices for virtual agent development in Dialogflow ES.

Course 3 of 4 in the Customer Experiences with Contact Center AI - Dialogflow ES Specialization.

Syllabus

WEEK 1

Course Overview

Introduction to course

Fundamentals of building conversations with Dialogflow ES

In this module, you'll be introduced to the objects, tools, and methods to get your basic virtual agent up and running.

Maintaining Context in a Conversation

In this module, you'll be introduced to using context so that you can take your virtual agent to the next level of intelligent conversation.

WEEK 2

Moving From Chat to Voice Virtual Agent

In this module, you'll be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations.

Course Review