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Training Course in Generative AI for Customer Support

Training Course in Generative AI for Customer Support

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01Overview

02Course Outline

03Schedule & Fees

Overview
Why Attend

This course offers this training program in "Generative AI for Customer Support" to provide participants with a comprehensive understanding of how generative artificial intelligence can enhance customer support operations and improve service quality across modern organizations.

The program explores the foundations of generative AI, its capabilities in producing accurate and context-aware responses, and its role in supporting customer interactions through multiple communication channels. Participants will gain insight into integrating AI-powered solutions into customer service environments while maintaining service consistency, operational efficiency, and data protection standards. The program also examines governance considerations, ethical use of artificial intelligence, knowledge management, and emerging technologies that are reshaping customer engagement. By developing a clear understanding of these concepts, participants will be better prepared to support digital transformation initiatives, strengthen customer experience strategies, and contribute to the effective adoption of generative AI solutions that align with organizational objectives and evolving customer expectations.

Course Objectives

By the end of the course, participants will be able to:

Who Should Attend?

  • Customer service representatives, contact center professionals, and customer support specialists.
  • Customer experience managers and service quality professionals.
  • Digital transformation specialists and business technology professionals.
  • Executives and decision-makers seeking to enhance customer support through artificial intelligence.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

  • Understand the fundamental concepts of generative artificial intelligence and its role in customer support.
  • Explore methods for applying generative AI to improve customer service quality and responsiveness.
  • Identify the principles of responsible AI use, including data protection and privacy requirements.
  • Understand approaches for integrating generative AI solutions into customer support operations.
  • Strengthen the ability to develop customer support strategies supported by generative AI technologies.
Course Outline
  • Introduction to Generative Artificial Intelligence
    • Definition and core concepts of generative AI.
    • Evolution of artificial intelligence technologies.
    • Applications of generative AI across organizations.
  • Fundamentals of Customer Support
    • Principles of effective customer support.
    • Evolution of customer service operations.
    • Service quality standards and customer expectations.
  • Generative AI Applications in Customer Support
    • AI-generated customer responses.
    • Knowledge content generation and management.
    • Support for digital communication channels.
  • Customer Experience Management
    • Enhancing customer satisfaction.
    • Improving response speed and consistency.
    • Strengthening service quality across customer interactions.
  • AI Governance and Responsible Use
    • Principles of responsible artificial intelligence.
    • Data privacy and information protection.
    • Regulatory and organizational compliance.
  • Integrating Generative AI into Business Operations
    • Organizational requirements for AI adoption.
    • Improving operational workflows.
    • Managing organizational transformation.
  • Knowledge Management with Generative AI
    • Organizing organizational knowledge resources.
    • Developing customer-focused content.
    • Maintaining accurate and updated information.
  • Enhancing Customer Support Performance
    • Improving service quality.
    • Reducing response times.
    • Increasing operational efficiency within support teams.
  • Measuring Customer Support Performance
    • Key performance indicators for customer support.
    • Service quality evaluation methods.
    • Continuous performance improvement approaches.
  • Future Trends in Generative AI for Customer Support
    • Emerging developments in generative AI.
    • New technologies influencing customer service.
    • Long-term planning for AI-enabled customer support.
Schedule & Fees
2026 Schedule & Fees
USD 3,100
Per participant
  • 8 - 12 Nov, 2026
  • English
USD 3,100
Per participant
  • 8 - 12 Nov, 2026
  • Arabic
USD 3,100
Per participant
  • 22 - 26 Nov, 2026
  • English
USD 3,100
Per participant
  • 22 - 26 Nov, 2026
  • Arabic
2027 Schedule & Fees
USD 3,100
Per participant
  • 7 - 11 Feb, 2027
  • English
USD 3,100
Per participant
  • 7 - 11 Feb, 2027
  • Arabic
USD 3,100
Per participant
  • 21 - 25 Feb, 2027
  • English
USD 3,100
Per participant
  • 21 - 25 Feb, 2027
  • Arabic
USD 3,100
Per participant
  • 9 - 13 May, 2027
  • English
USD 3,100
Per participant
  • 9 - 13 May, 2027
  • Arabic
USD 3,100
Per participant
  • 23 - 27 May, 2027
  • English
USD 3,100
Per participant
  • 23 - 27 May, 2027
  • Arabic
USD 3,100
Per participant
  • 8 - 12 Aug, 2027
  • English
USD 3,100
Per participant
  • 8 - 12 Aug, 2027
  • Arabic
USD 3,100
Per participant
  • 22 - 26 Aug, 2027
  • English
USD 3,100
Per participant
  • 22 - 26 Aug, 2027
  • Arabic
USD 3,100
Per participant
  • 7 - 11 Nov, 2027
  • English
USD 3,100
Per participant
  • 7 - 11 Nov, 2027
  • Arabic
USD 3,100
Per participant
  • 21 - 25 Nov, 2027
  • English
USD 3,100
Per participant
  • 21 - 25 Nov, 2027
  • Arabic