AI for Customer Relations Productivity - LO

AI for Customer Relations Productivity - LO

English / 09:00 - 13:00 (GMT+2) / Aug, 13 2026 - Aug, 14 2026
$572.00
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AI for Customer Relations Productivity - LO
  • AI for Customer Relations Productivity - LO
AI for Customer Relations Productivity - LO

AI for Customer Relations Productivity - LO

$572.00

The AI for Customer Relations Productivity Masterclass is a focused live online program designed for customer service and experience professionals who are ready to leverage AI to automate routine tasks, personalize interactions, and analyze customer sentiment. The program equips participants with the practical skills to deliver exceptional service, boost customer satisfaction, and build lasting customer loyalty through AI-powered tools and techniques.
LanguageEnglish
Course timing09:00 - 13:00 (GMT+2)
DateAug, 13 2026 - Aug, 14 2026
In stock

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Course Details:
Category:
Category:
Upskill
Delivery Format:
Delivery Format:
Live Online
Days:
Days:
2
Domain:
Domain:
Applied Management
Subdomain:
Subdomain:
Artificial Intelligence
Course Overview:

This masterclass takes participants through the core principles, applications, and real-world impact of AI in customer relations — from AI-powered chatbots and virtual assistants to sentiment analysis and personalized service experiences. Through applied exercises, NLP AI tool practice, and domain-specific case studies, participants gain a clear understanding of how AI can elevate their customer engagement strategies and reduce
Course Benefits:
  • Increase customer satisfaction through AI-powered personalization and faster issue resolution.
  • Reduce support costs by automating routine customer service tasks with AI tools.
  • Provide personalized service experiences through AI-powered chatbot and sentiment analysis tools.
  • Access a dedicated Customer Relations NLP AI Tools Catalogue and Application Index for immediate on-the-job use.
    - Earn a Certificate in AI for Customer Relations Productivity upon successful completion.
Key Features:
  • 13 structured lessons including pre-course onboarding, core-course content, and post-course evaluation.
  • 3 applied exercises and 3 knowledge assessments.
  • 61 course slides and 52 recorded video lessons.
  • 7 discussion forums for peer learning and application.
  • Dedicated Customer Relations NLP AI Tools Catalogue and Application Index included.
  • Certificate of Attendance and Certificate in AI for Customer Relations Productivity awarded upon completion.
Learning objectives:
  • Understand the fundamentals of AI and its applications across core customer relations functions.
  • Apply NLP AI tools to automate customer interactions, personalize service experiences, and analyze sentiment.
  • Identify opportunities to leverage AI-powered chatbots and virtual assistants to enhance customer engagement.
  • Evaluate AI tools for improving response times, issue resolution, and overall customer satisfaction.
  • Understand ethical considerations and responsible use of AI in customer service contexts.
Prerequisite:

No prerequisites are required.

The Functional Area Enablement Institute (FAEI) develops research-backed enablement solutions designed to strengthen performance across business functions. Through its functional area labs and frameworks, FAEI helps teams translate challenges into actionable strategies, supported by practical tools and structured guidance. Programs are designed to support capability building across departments with an emphasis on real-world application.

Accreditations:

The CPD certification is issued by maentae acting as the dedicated training division and licensed education provider for The Functional Area Enablement Institute.

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Meet Our Facilitators

Learn from industry experts

Dr. Moataz Kamel

Dr. Moataz Kamel

Phd, Digital Transformation & AI Expert
Dr. Moataz Kamel is a senior technology management expert and academic with over 30 years of experience spanning academia and industry. His work focuses on technology innovation, digital transformation, and business strategy, supported by research published in leading international journals. He has taught across Canada, Egypt, and the Middle East, and designed advanced courses in research methods, business analytics, cloud economics, and innovation management, including pioneering curricula in corporate innovation and AI in education. Professionally, he has held executive roles at global organizations such as Microsoft, Xerox, Etisalat, GBI, and ITWorx, where he led large-scale digital transformation programs, managed multi-billion-dollar enterprise portfolios, and drove the implementation of cloud, analytics, AI, and machine learning solutions.
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