Customer Service in the Age of Generative AI (Coursera)

Customer Service in the Age of Generative AI (Coursera)

The Customer Service in the Age of Generative AI course provides you with the essential knowledge to use Generative AI to build and develop chatbots for customer engagement and customer support. In this course, you will learn how personalized chatbots are impactful and essential for customers and how the continuous need to evaluate and enhance chatbots to meet customer expectations and needs effectively. In this course, you will ,learn how chatbots can be leveraged to provide more targeted and customized messages to deliver more relevant and engaging information, support, and service to customers.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This course is ideal for marketing professionals seeking to develop and enhance customer service and marketing using chatbots and Generative AI.
This course is part of the Generative AI in Marketing Specialization.

What you'll learn

  • You will learn how to evaluate and enhance a chatbot’s performance for marketing and customer service.
  • You will learn how to customize Generative AI for customer support and customer engagement.

Syllabus

Generative AI in Customer Service
Welcome to the Generative AI in Customer Service module! Generative AI has become an increasingly popular tool for marketing, customer support, and customer service. In this module, you will learn how to develop and establish a framework for chatbot technology, and how chatbots are an impactful component of Generative AI for customer engagement and customer support, as aided by an example of a chatbot from Vibe Kayak's. In this module, you will learn from the Vibe Kayak's custom GPT example on how to appropriately design and develop a custom GPT chatbot, and the continuous need to evaluate and enhance a chatbots performance. Finally, in this module, you will reflect on your experiences and interactions with custom GPT chatbots as a consumer.

Generative AI in Customer Service: Custom GPT Chatbot Reflection
Welcome to the Generative AI in Customer Service: Chatbot Reflection module! Chatbots are important for marketing organizations to deliver more targeted and personalized marketing messages to support customers. Customers today expect a fast and customized response to their inquiries, questions, or concerns, and chatbots and help marketing organizations deliver more relevant and engaging information to customers. In this module, you will reflect on your experiences with custom GPT chatbots and articulate the best considerations and frameworks to develop a customized customer service chatbot that meets the needs of customers.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Ethical Issues in Data Science (Coursera) Coursera
University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Nov 23rd 2026
5-12 Weeks
Security for Artificial Intelligence Software and Services (Coursera) Coursera
Board Infinity

Security for Artificial Intelligence Software and Services (Coursera)

The "Security Basics for Artificial Intelligence Software and Services" course provides an in-depth exploration of security measures and best practices in the context of AI. Spanning two comprehensive modules, the course begins with an introduction to the fundamentals of AI security, including ethical considerations and common threats. It then progresses to practical strategies for implementing robust security in AI development, such as secure coding, vulnerability assessment, and adherence to compliance standards.

Nov 23rd 2026
2 Weeks
Fundamental Rights Impact Assessment for GenAI Projects (Coursera) Coursera
Coursera Instructor Network

Fundamental Rights Impact Assessment for GenAI Projects (Coursera)

In a world increasingly driven by artificial intelligence, the line between technological advancement and fundamental human rights is more important than ever. “Fundamental Rights Impact Assessment for GenAI projects” is a course that equips you with the skills to navigate the intersection between innovation and our intrinsic rights to privacy, freedom, and equality.

Nov 23rd 2026
4 Weeks
Introduction to Generative AI Studio (Coursera) Coursera
Google Cloud

Introduction to Generative AI Studio (Coursera)

This course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models so you can use their capabilities in your applications. In this course, you learn what Generative AI Studio is, its features and options, and how to use it by walking through demos of the product. In the end, you will have a quiz to test your knowledge.

Nov 23rd 2026
1 Week
Introduction to Digital Transformation (Coursera) Coursera
Siemens

Introduction to Digital Transformation (Coursera)

This course is primarily for professionals, college students, and advanced high school students who are interested in driving the digital transformation by integrating automation, software, and cutting-edge technologies. This course represents a foundational introduction to Digital Transformation, appropriate for learners with a basic familiarity with common business terms and concepts and an interest in digital technology.

Nov 16th 2026
5-12 Weeks
Ethical AI Use (Coursera) Coursera
University System of Georgia

Ethical AI Use (Coursera)

The "Ethical AI Use" course delves into the critical intersection of technology and ethics, focusing on the responsible development and deployment of artificial intelligence (AI). Participants will explore the evolution of AI, distinguishing between the two fundamental types, and examine the ethical considerations inherent in the realm of generative AI.

Nov 23rd 2026
2 Weeks
General AI Mastery Toolbox: Master AI and Drive Success (Coursera) Coursera
Coursera Instructor Network

General AI Mastery Toolbox: Master AI and Drive Success (Coursera)

General Artificial Intelligence (AI) has proven its value in the business world with its multiple uses. The various applications of AI have proved to be of increasing value to businesses in their ability to meet customer demand with efficiency and creativity. To remain in sync with the direction of business entities, individuals need a tool kit to assist them as they master this technology.

Nov 23rd 2026
1 Week
Enhancing Educational Content with Fliki AI's Text-to-Speech (Coursera) Coursera
Coursera Instructor Network

Enhancing Educational Content with Fliki AI's Text-to-Speech (Coursera)

In a world where information is readily available, the ability to effectively communicate and engage an audience has become crucial. With the power of Fliki AI, a cutting-edge text-to-speech and video creation platform, you can transform educational content into captivating and informative multimedia experiences.

Nov 23rd 2026
1 Week
Frontiers in Dentistry (Coursera) Coursera
University of Pennsylvania

Frontiers in Dentistry (Coursera)

In this course, Frontiers in Dentistry, you will be able to explore some of the latest advances in the field of dental medicine. The innovations in therapeutic techniques as well as our understanding of the biomedical sciences have been made possible by our research enterprise which integrates the latest emerging technology along with interdisciplinary collaborations.

Nov 23rd 2026
5-12 Weeks
Deep Learning for Business (Coursera) Coursera
Yonsei University

Deep Learning for Business (Coursera)

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers.

Nov 16th 2026
5-12 Weeks