We may earn an affiliate commission when you visit our partners.
Customer Service in the Age of Generative AI
Rajkumar Venkatesan
Rajkumar Venkatesan
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. This course is ideal for marketing professionals seeking to develop and enhance customer service and marketing using chatbots and Generative AI.
Register for this course and see more details by visiting:
OpenCourser.com/course/klo5em/customer
What's inside
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.
Read more
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.
Read more
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides an foundational framework for establishing chatbots for customer support and engagement
Suitable for marketing professionals seeking to leverage chatbots and Generative AI for customer service
Leverage Generative AI for personalized customer service and engagement
Save this course
Save Customer Service in the Age of Generative AI to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Customer Service in the Age of Generative AI .
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Customer Service in the Age of Generative AI will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Ethics Consultant
Artificial Intelligence Ethics Consultant
Artificial Intelligence Ethics Consultants are charged with advising stakeholders on the moral and social consequences of advanced technologies, including Generative AI. The Customer Service in the Age of Generative AI course from the University of Virginia Darden School Foundation can help you build a foundation in the ethical implications of AI, particularly in the context of customer service. This course can help you understand how to develop and implement ethical frameworks for AI-powered chatbots, ensuring that they align with your organization's values and the needs of customers.
Conversational AI Developer
Conversational AI Developer
Conversational AI Developers design, develop, and maintain chatbots and other AI-powered conversational interfaces. The Customer Service in the Age of Generative AI course can help you gain the skills and knowledge you need to succeed in this role. You will learn about the latest advancements in Generative AI and how to use it to create engaging and informative chatbots. You will also learn about the best practices for developing and deploying chatbots, ensuring that they meet the needs of customers and businesses alike.
Customer Experience Manager
Customer Experience Manager
Customer Experience Managers are responsible for overseeing all aspects of the customer experience, including customer service. The Customer Service in the Age of Generative AI course can help you gain the skills and knowledge you need to excel in this role. You will learn about the latest trends in customer service and how to use Generative AI to improve the customer experience. You will also learn about the best practices for managing customer service teams and resolving customer issues.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. The Customer Service in the Age of Generative AI course can help you gain the skills and knowledge you need to succeed in this role. You will learn about the latest advancements in Generative AI and how to use it to analyze customer data. You will also learn about the best practices for developing and deploying AI models, ensuring that they are accurate and reliable.
Digital Marketing Manager
Digital Marketing Manager
Digital Marketing Managers are responsible for planning and executing digital marketing campaigns. The Customer Service in the Age of Generative AI course can help you gain the skills and knowledge you need to succeed in this role. You will learn about the latest trends in digital marketing and how to use Generative AI to create engaging and effective marketing campaigns. You will also learn about the best practices for managing digital marketing teams and measuring the success of marketing campaigns.
Growth Marketing Manager
Growth Marketing Manager
Growth Marketing Managers are responsible for developing and executing strategies to drive customer acquisition and retention. The Customer Service in the Age of Generative AI course can help you gain the skills and knowledge you need to succeed in this role. You will learn about the latest trends in growth marketing and how to use Generative AI to create effective growth marketing campaigns. You will also learn about the best practices for managing growth marketing teams and measuring the success of growth marketing campaigns.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. The Customer Service in the Age of Generative AI course can help you gain the skills and knowledge you need to succeed in this role. You will learn about the latest advancements in Generative AI and how to use it to develop machine learning models. You will also learn about the best practices for developing and deploying machine learning models, ensuring that they are accurate and reliable.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to analyze the effectiveness of marketing campaigns. The Customer Service in the Age of Generative AI course can help you gain the skills and knowledge you need to succeed in this role. You will learn about the latest trends in marketing analytics and how to use Generative AI to analyze marketing data. You will also learn about the best practices for developing and deploying marketing analytics models, ensuring that they are accurate and reliable.
Product Manager
Product Manager
Product Managers are responsible for overseeing the development and launch of new products. The Customer Service in the Age of Generative AI course can help you gain the skills and knowledge you need to succeed in this role. You will learn about the latest trends in product development and how to use Generative AI to create innovative new products. You will also learn about the best practices for managing product development teams and launching new products.
Project Manager
Project Manager
Project Managers are responsible for planning and executing projects. The Customer Service in the Age of Generative AI course can help you gain the skills and knowledge you need to succeed in this role. You will learn about the latest trends in project management and how to use Generative AI to improve project outcomes. You will also learn about the best practices for managing project teams and delivering projects on time and within budget.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing and verifying the quality of software products. The Customer Service in the Age of Generative AI course can help you gain the skills and knowledge you need to succeed in this role. You will learn about the latest trends in quality assurance and how to use Generative AI to improve the quality of software products. You will also learn about the best practices for developing and executing quality assurance tests.
Salesforce Administrator
Salesforce Administrator
Salesforce Administrators are responsible for managing and maintaining Salesforce systems. The Customer Service in the Age of Generative AI course may be useful to you in this role, as it can help you learn how to use Generative AI to improve the efficiency and effectiveness of Salesforce systems.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. The Customer Service in the Age of Generative AI course may be useful to you in this role, as it can help you learn how to use Generative AI to develop innovative new software applications.
System Administrator
System Administrator
System Administrators are responsible for managing and maintaining computer systems. The Customer Service in the Age of Generative AI course may be useful to you in this role, as it can help you learn how to use Generative AI to improve the efficiency and effectiveness of computer systems.
Web Developer
Web Developer
Web Developers design and develop websites. The Customer Service in the Age of Generative AI course may be useful to you in this role, as it can help you learn how to use Generative AI to develop innovative new websites.
For more career information including salaries, visit:
OpenCourser.com/course/klo5em/customer
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Customer Service in the Age of Generative AI .
Goes through the foundational principles of customer service, and the specific techniques needed to provide the best service to clients.
Provides a comprehensive overview of natural language processing (NLP). It offers helpful background information on the fundamentals of NLP, which is essential for understanding generative AI.
Save
Provides a practical guide to chatbot design, with a focus on creating chatbots that are engaging and effective.
Provides a practical guide to NLP, with a focus on using NLP in real-world applications.
Provides a comprehensive overview of the Natural Language Toolkit (NLTK), a popular NLP library in Python.
Save
Examines the digital transformation of customer service, with a focus on emerging technologies and strategies for improving customer experiences.
Provides a comprehensive overview of speech and language processing, including the use of NLP in speech recognition and natural language understanding.
Provides a comprehensive overview of customer relationship management (CRM), including the use of AI in CRM.
Save
Explores the relationship between customer service and profitability, highlighting the importance of investing in customer satisfaction.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/klo5em/customer
Share
Similar courses
Here are nine courses similar to
Customer Service in the Age of Generative AI .
The Data Sessions: Prompt Engineering for Marketing Professionals
OpenCourser.com/course/vekpc9/the
The Data Sessions: Prompt Engineering for Marketing...
Most relevant
Intro to AI for Digital Marketing
OpenCourser.com/course/yzw02h/intro
Intro to AI for Digital Marketing
Most relevant
Content Marketing Using Generative AI
OpenCourser.com/course/9uigcu/content
Content Marketing Using Generative AI
Most relevant
AI Chatbots without Programming
OpenCourser.com/course/pipged/ai
AI Chatbots without Programming
Most relevant
GenAI Chatbots: Create and Deploy OpenAI-Powered Chatbots
OpenCourser.com/course/k04iwm/genai
GenAI Chatbots: Create and Deploy OpenAI-Powered Chatbots
Most relevant
Microsoft Copilot Studio - The Copilot Studio Masterclass
OpenCourser.com/course/57jhne/microsoft
Microsoft Copilot Studio - The Copilot Studio Masterclass
Most relevant
OpenAI & ChatGPT API's: Expert Fine-tuning for Developers
OpenCourser.com/course/ree5qd/openai
OpenAI & ChatGPT API's: Expert Fine-tuning for Developers
Most relevant
Developing Generative AI Applications with Python
OpenCourser.com/course/dnp4h4/developing
Developing Generative AI Applications with Python
Most relevant
Improving Customer Retention
OpenCourser.com/course/hpydsg/improving
Improving Customer Retention
Most relevant
Effort
2 weeks of study, 1-2 hours per week.
Level
Introductory
Via
Coursera
Institution
University of Virginia Darden School Foundation
Instructor
Rajkumar Venkatesan
Language
English
Good to know
Provides an foundational framework for establishing chatbots for customer support and engagement
Suitable for marketing professionals seeking to leverage chatbots and Generative AI for customer service
Leverage Generative AI for personalized customer service and engagement
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser