GenAI for Customer Communication

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

GenAI for Customer Communication

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·1mo ago
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 o
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The Million-Dollar Pipeline: Under the Hood of Production-Grade Healthcare Data Engineering
Learn the components and design of a production-grade healthcare data engineering pipeline worth millions
Medium · Data Science
The Truth About Performance-Based Stipends in Online Internships
Learn the ins and outs of performance-based stipends in online internships and how they impact students
Medium · Data Science
10 Time-Series Problems That Occur When Data Represents States Instead of Events
Learn to identify and tackle 10 common time-series problems that arise when data represents states instead of events, improving your data analysis skills
Medium · Data Science
Growth Isn’t a Straight Line: My Journey Through UC Berkeley’s MIDS and the Art of the Pivot
Learn to pivot and measure growth beyond just output in your data science journey
Medium · Data Science
Up next
Stock Market Investing and Equity Valuation
Coursera
Watch →