GenAI for Customer Service Teams
Learn how to leverage Generative AI to enhance customer service operations, automate tasks, and improve team collaboration while ensuring ethical compliance.
Learn how to leverage Generative AI to enhance customer service operations, automate tasks, and improve team collaboration while ensuring ethical compliance.
This comprehensive course bridges the gap between generative AI technologies and customer service practices. Designed for customer service professionals and team leaders, it provides practical insights into implementing GenAI tools for enhanced team coordination, task automation, and improved customer interactions. The curriculum covers essential aspects of GenAI integration, ethical considerations, and data privacy compliance, ensuring responsible AI adoption in customer service operations.
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What you'll learn
Understand GenAI tools and strategies for team collaboration
Create frameworks for staying ahead of GenAI advancements
Apply GenAI tools in real-world customer service scenarios
Implement data privacy and ethical compliance measures
Enhance customer interaction through AI integration
Optimize team coordination using GenAI solutions
Skills you'll gain
This course includes:
36 Minutes PreRecorded video
1 assignment, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This introductory course demystifies Generative AI for customer service professionals, focusing on practical applications in team coordination, task automation, and customer interaction enhancement. The curriculum covers essential aspects of GenAI implementation, including tools and strategies for improving efficiency, ethical considerations, and data privacy compliance. Through a combination of theoretical knowledge and hands-on practice, participants learn to integrate GenAI technologies effectively into their customer service operations.
GenAI for Customer Service Teams
Module 1 · 2 Hours to complete
Fee Structure
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Instructors
Data Scientist and AI Research Scientist
Soheil Haddadi is a postdoctoral researcher specializing in Artificial Intelligence (AI) and machine learning, with a robust academic background in Control and Automation Systems Engineering. His expertise encompasses a wide range of areas, including data science, deep learning, natural language processing (NLP), and robotics. Soheil is committed to advancing the field of AI through innovative research and practical applications.He teaches several courses on Coursera, such as Fine-tuning Language Models for Business Tasks, GenAI for Data Scientists, and Data Engineering: Pipelines, ETL, Hadoop. These courses are designed to equip learners with the skills necessary to effectively utilize generative AI technologies and data engineering practices in various professional contexts.
AI Educator and Human-Centered Interaction Researcher
Reza Moradinezhad is an AI educator and researcher dedicated to promoting trustworthy AI and enhancing human-centered interactions. He holds a PhD in Computer Science from Drexel University and currently serves as an assistant teaching professor at Drexel's College of Computing & Informatics. In addition, he is an AI Scientist at TulipAI, where he focuses on ethical and responsible use of generative AI technologies.Reza offers a variety of courses on Coursera, including Building Production-Ready Apps with Large Language Models, Evaluating Large Language Model Outputs: A Practical Guide, and GenAI for Application Developers. His courses aim to equip learners with the skills necessary to effectively utilize large language models in various applications, from customer service to data analysis.
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