Contact Center AI: Conversational Design Fundamentals
- Offered byCoursera
Contact Center AI: Conversational Design Fundamentals at Coursera Overview
Duration | 9 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
Contact Center AI: Conversational Design Fundamentals at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Contact Center AI: Conversational Design Fundamentals at Coursera Course details
- Welcome to "Contact Center AI Conversational Design with Dialogflow", the first course in the "Customer Experiences with Contact Center AI" specialization.
- In this course, learn how to design, develop, and deploy customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You will be introduced to Contact Center AI and its three pillars, Dialogflow, Agent Assist, and Insights, the concept of conversational experiences and how the study of them influences the design of your virtual agent, the objects, tools, and methods to get your basic virtual agent up and running, and using context so that you can take your virtual agent to the next level of intelligent conversation.
- This is an intermediate course, intended for learners with the following types of roles:
- ? Architects and systems integrators implementing Contact Center AI
- ? Conversational Architects
- ? Contact center virtual agent and application developers
- ? Business managers
- Prerequisite: To be successful in this course, learners should have completed Google Cloud Product Fundamentals or have equivalent experience.
Contact Center AI: Conversational Design Fundamentals at Coursera Curriculum
Welcome to Contact Center AI: Conversational Design Fundamentals
Course Introduction
How to Send Feedback
Introduction
Why is Contact Center AI needed
CCAI Telecommunications
What is Contact Center AI
How Dialogflow fits within CCAI
Agent Assist
One AI architecture
Use case
Contact Center AI fundamentals
Introduction
A Conversation Experience
Natural Language Understanding
Context in Conversation
Design, Develop, Deploy
Design Phase
Design Principles
Agent Persona
Style Guide
Develop and Deploy
Best practices
Conversational Experiences
Fundamentals of Building Conversations with Dialogflow
Introduction
User Interface
Design
Intents
Entities
Actions and Responses
Training the agent
Advanced training
Testing tools
Knowledge
Best Practices
Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Lab Intro Dialogflow Fundamentals
Lab Review Dialogflow Fundamentals
Lab Intro KB Connector
Lab Review KB Connector
DF Fundamentals: Intents and Entities
Maintaining Context in a Conversation
Introduction
Context
Active v inactive
Input v output
Lifespan
Configuration
Follow-up
Best practices
Lab Intro: Adding Contexts to your Virtual Agent
Lab Review: Adding Contexts to your Virtual Agent
Context