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GenAI for Customer Communication

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GenAI for Customer Communication

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Gain insight into a topic and learn the fundamentals.
4.9

13 reviews

Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.9

13 reviews

Intermediate level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyse key concepts and benefits of AI in customer communication.

  • Identify cutting edge techniques for AI-driven personalization.

  • Apply AI tools to enhance customer feedback analysis and journey mapping.

Details to know

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Assessments

3 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Business Communication for the Modern Workplace Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

In this course, "AI-Driven Customer Communication: Enhancing Engagement and Personalization," you’ll learn practical AI techniques, with personal case studies and experiences, to deliver personalized, real-time customer interactions that drive satisfaction and loyalty. You'll learn essential AI techniques to enhance customer engagement and satisfaction. Understand the basics of AI in customer communication, develop effective personalization strategies, and master data-driven decision-making. You'll explore specific techniques like AI-driven chatbots for real-time customer support, predictive analytics to anticipate customer needs, and sentiment analysis to evaluate customer feedback. Learn how to apply personalized product recommendations to improve conversion rates and use AI-powered customer journey mapping to optimize every interaction. With hands-on learning, you'll gain practical skills such as implementing chatbots in customer service scenarios, using predictive tools to reduce churn, and analysing feedback to enhance customer satisfaction.

This course is designed for Customer Service Managers, Marketing Professionals, Business Analysts and Digital Transformation Leaders. It is ideal for individuals looking to leverage AI to enhance customer communication strategies, improve customer engagement, and drive satisfaction across various touchpoints. Professionals seeking to stay ahead in the evolving landscape of customer service and marketing will benefit from this course's practical insights and hands-on approach. To get the most out of this course, participants should have a basic understanding of AI technology and its applications in business. Familiarity with customer engagement concepts and customer service strategies will be helpful, as these form the foundation for the techniques explored in the course. Some prior experience with digital communication tools and platforms is also recommended to fully grasp the AI-driven techniques discussed. By the end of this course, learners will be able to analyze key concepts and benefits of AI in customer communication, enabling them to understand how AI can drive business growth. Participants will also gain the ability to identify cutting-edge techniques for AI-driven personalization, allowing them to tailor customer experiences more effectively. Additionally, they will be equipped to apply AI tools for enhancing customer feedback analysis and journey mapping, enabling more informed, data-driven decision-making in real-world business scenarios.

In this course, "GenAI for Customer Communication: Enhancing Engagement and Personalization," you’ll learn practical AI techniques, with personal case studies and experiences, to deliver personalized, real-time customer interactions that drive satisfaction and loyalty.

What's included

11 videos7 readings3 assignments

11 videosTotal 87 minutes
  • Introduction to the Course & Meet Your Instructor3 minutes
  • Demonstrating Fundamental AI Concepts: Strategies and Engagement 11 minutes
  • Maximizing Engagement: The Benefits and Significance of AI in Customer Communication 7 minutes
  • Case Study of Real-World Success: AI in Customer Communication 8 minutes
  • Realising Personalization Success: Proven AI Strategies9 minutes
  • Applying Personalization Strategies for Optimal Customer Engagement 9 minutes
  • Analysing Consumer Behaviour to Enhance AI Personalization 11 minutes
  • Explaining AI-Driven Customer Feedback and Journey Mapping 10 minutes
  • Applying AI to Customer Journey Mapping 8 minutes
  • Real-World Case Study: AI-Driven Customer Journey Mapping 7 minutes
  • Congratulations and Continuous Learning Journey3 minutes
7 readingsTotal 50 minutes
  • Welcome to the Course: Course Overview 5 minutes
  • Hands-On Learning: Understanding AI in Customer Communication   10 minutes
  • AI in Customer Communication 1015 minutes
  • Hands-On Learning: AI-Driven Personalization Techniques  10 minutes
  • 10 Ways to Use AI for Personalization in Customer Communication 5 minutes
  • Hands-On Lesson: AI-Driven Customer Feedback and Journey Mapping     10 minutes
  • Artificial Intelligence in Customer Journey Mapping: Mastering Consumer Insights 5 minutes
3 assignmentsTotal 80 minutes
  • Your Turn! Practicing AI Concepts in Action 30 minutes
  • Your Turn! Practicing AI Personalization 30 minutes
  • GenAI for Customer Communication20 minutes

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Instructor ratings
4.7 (6 ratings)
10 Courses74,953 learners

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TJ
·

Reviewed on Jul 13, 2025

Must required course. GenAI is today's need. We need to learn GenAI today or later if we want to survive in this industry.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.