Customer Experiences with Contact Center AI (GCP-CCAI)
Course Overview
Learn how to design, develop, and deploy customer conversational solutions using Contact Center Artificial Intelligence (CCAI). You'll also learn some best practices for integrating conversational solutions with your existing contact center software, establishing a framework for human agent assistance, and implementing solutions securely and at scale.
Who should attend
- Conversational Architects
- Contact center virtual agent and application developers
- Business managers
Prerequisites
- Completed Google Cloud Product Fundamentals or have equivalent experience.
- Desirable but not required: Knowledge of a programming language such as Python or JavaScript.
Course Objectives
- Define what Google Contact Center AI is.
- Explain how Dialogflow can be used in contact center applications.
- Describe how natural language understanding (NLU) is used to enable Dialogflow conversations.
- Implement a chat virtual agent.
- Implement a voice virtual agent.
- Describe options for storing parameters and fulfilling user requests.
- Deploy a virtual agent to production.
- Identify best practices for design and deployment of virtual agents.
- Identify key aspects, such as security and compliance in the context of contact centers.
Schedule
English
1 hour difference
Online Training
This is an English language FLEX course.
Time zone: Eastern European Summer Time (EEST)
Time zone: Eastern European Summer Time (EEST)
Slovenia
Currently no local training dates available. For enquiries please write to info@fastlane.si.
Bulgaria
| Online Training This is an English language FLEX course. Time zone: Europe/Sofia Course language: English | Enroll |