Free AI Customer Service Course
AI for Customer Service and Support
Understand how AI customer service can help resolve requests without losing the human touch. Start this free online course to learn when to use automated support and when a case needs a person's attention and follow-through.
About this course
A free AI customer service course can help you understand how automated support and human service fit together. Here, you study customer expectations before looking at listening, clear replies, and channel choice. You learn why a chatbot response is only one part of service: a customer may also need an accurate handover, a useful update, or someone to take ownership of an unresolved issue.
The AI customer support training follows cases through prioritization, escalation, and closure. Lessons on complaints show how to respond calmly and record recurring problems, while knowledge articles support customers who prefer self-service. You also connect measures such as first-contact resolution and customer satisfaction to quality reviews. This online customer service course gives you a foundation for discussing support workflows, checking AI-assisted replies, and recognizing where privacy or human judgment matters.
Course outline
Understanding the Customer Support Profession
In this module, you will be introduced to the job of support professionals, evolution of customer expectations, CX principles, journeys and touchpoints, and role of AI in contemporary support roles.
Mastering Communication with Customers
In this module, you will be introduced to the language of support professionals, active listening, empathy, emails and phone calls skills, handling objections, cultural awareness, AI-assisted writing and checking.
Delivering Service Across Every Channel
In this module, you will be introduced to the best practices of phone interaction, email interaction, chat interaction, social media support, channel selection, chat management, and chatbots with proper handovers.
Managing Cases from Open to Resolution
In this module, you will be introduced to the ticket lifecycle stages, ticket categorizing, ticket prioritization, SLA's, escalations, proper notes, backlog management, collaboration, AI-based routing, and proper ticket closure.
Turning Tense Moments into Positive Outcomes
In this module, you will be introduced to the causes of customer escalation, de-escalation techniques, handling complaints, saying no properly, recurring issue handling, escalating to managers, resilience, and sentiment alerting.
Empowering Customers to Help Themselves
In this module, here, you will learn how to plan for self-service, how to create great articles and FAQs, how to organize content, calculate deflection rate, market self-service.
Measuring and Improving Support Quality
In this module, here, you will learn about all the things related to CSAT, NPS, FCR, time metrics, quality assurance scorecards, coaching practices, trend analysis.
Building a Scalable, Future-Ready Support Operation
In this module, here, you will learn all about omnichannel design, context persistence, customer service culture, team management, scalability, orchestration using AI, ethics and privacy, and learning pathways.
Get access to the complete curriculum once you enroll in the course
Frequently Asked Questions
How does this AI customer service course approach chatbot handovers?
What will I learn about prioritizing customer support tickets?
Does the online service course teach clearer written replies?
How are difficult customer complaints covered in this training?
Will I learn how to organize a support knowledge base?
Which support quality measures appear in this AI course?
How does the course compare phone, email, and chat support?
Does this customer support training address AI and data privacy?
What does the course teach about closing a customer case?
Is a particular customer service platform required for the course?