Contact Center AI: Building a Dynamic Virtual Agent

  • 4.6
Approx. 9 hours to complete

Course Summary

Learn how to build a dynamic virtual agent for a contact center using AI in this course. Understand natural language processing and speech-to-text technology to create a more efficient customer service experience.

Key Learning Points

  • Understand the basics of contact center AI and how it can benefit customer service
  • Learn how to build a virtual agent using natural language processing and speech-to-text technology
  • Gain insights on how to improve customer service using AI technology

Related Topics for further study


Learning Outcomes

  • Develop a virtual agent for a contact center using AI technology
  • Understand the basics of natural language processing and speech-to-text technology
  • Improve customer service using AI technology

Prerequisites or good to have knowledge before taking this course

  • Basic programming knowledge
  • Familiarity with AI technology

Course Difficulty Level

Intermediate

Course Format

  • Online Self-Paced
  • Video Lectures
  • Hands-On Projects

Similar Courses

  • AI for Everyone
  • Machine Learning for Business Professionals

Related Education Paths


Notable People in This Field

  • Andrew Ng
  • Fei-Fei Li

Related Books

Description

Welcome to "Contact Center AI Virtual Agent Customization w/Dialogflow", the second course in the "Customer Experiences with Contact Center AI" specialization.

Knowledge

  • Implement a voice virtual agent.
  • Describe options for storing parameters and fulfilling user requests.

Outline

  • Welcome to Contact Center AI: Building a Dynamic Virtual Agent
  • Course Introduction
  • Course Introduction
  • How to Send Feedback
  • Moving From Chat to Voice Virtual Agent
  • Introduction
  • Chat versus voice
  • Voice Responses
  • Methods
  • Telephony Options
  • Lab Intro Adding voice
  • Lab Review Adding voice
  • Chat versus voice agent
  • Taking Actions with Fulfillment
  • Introduction
  • Fulfillment
  • Where fulfillment is used
  • Cloud functions
  • Fulfillment read
  • Fulfillment write
  • Cloud Firestore
  • CF Setting Up
  • CF Testing
  • Cloud deployment
  • Lab Intro: Using Cloud Functions
  • Lab Review: Using Cloud Functions
  • Fulfillment
  • Testing and Logging
  • Introduction
  • History
  • Stackdriver logs
  • Logging filters
  • General testing
  • Watchpoints
  • Validation errors
  • Audits
  • Lab Intro: Testing a Virtual Agent
  • Lab Review: Testing a Virtual Agent
  • Testing and Logging

Summary of User Reviews

Learn how to build a dynamic virtual agent with Contact Center AI course on Coursera. Users have found this course to be informative and practical. The course covers a wide range of topics related to building virtual agents and provides hands-on experience to users.

Key Aspect Users Liked About This Course

Many users have found the hands-on experience provided in the course to be the most valuable aspect.

Pros from User Reviews

  • Hands-on experience provided in the course
  • Covers a wide range of topics related to building virtual agents
  • Informative and practical
  • Provides relevant examples and case studies
  • Easy to follow instructions

Cons from User Reviews

  • Course may be too basic for experienced individuals
  • Limited interaction with instructors
  • Some technical issues with the platform
  • Not enough focus on the business aspects of building virtual agents
  • Course may be too lengthy for some users
English
Available now
Approx. 9 hours to complete
Google Cloud Training
Google Cloud
Coursera

Instructor

Google Cloud Training

  • 4.6 Raiting
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