AI+ Customer Service Training Course
Length
1 day / 1 week
Price
$525 USD
Days
Mon - Fri
Why Choose This Course
AI Customer Service Training is a professional course designed to help professionals develop customer support using the latest AI tools and technologies. It focuses on how to handle customer interactions more productively, personalize customer services, automate routine tasks, and increase response times while maintaining effective communication and service quality.
Having difficulty keeping pace with the evolution of the area of customer service? This AI CERT Training is designed for professionals who want real, practical answers—not just theory.
In just a single day, you will understand the basic role of AI in customer service to build a full AI strategy bespoke to your organization’s needs. You will explore AI technologies, learn with different smart data collection and various analysis techniques, and explore effective strategies for successful AI implementation and AI deployment — all without the confusing technical terminology.
What is unique about this course? It heavily focuses on practical application. So when you complete learning, you will have the effective skills to really improve customer experiences, build customer satisfaction, and support genuine organizational growth.
You will also learn ethical considerations around AI solutions, because building trust with your customers matters as much as the technology itself.
This course content ends with Prep for exams and certification — 50 MCQs, 90 minutes online exam through AI Proctoring, with a passing grade of 35 out of 50 (70%).
Do not get left behind in new trends; be prepared to handle all changes in the field of customer service — right away!
Prerequisites
Exam
Candidates can achieve this certification by passing the following exam(s).
- AI+ Customer Service, exam code AP-210.
Books
Flexible Delivery Options
- Live virtual online training attend in real-time from anywhere
Skills Gained
- Learn essential aspects of artificial intelligence and their application to customer service cases.
- Compare different artificial intelligence techniques like machine learning, natural language processing, and deep learning for development of services applications.
- Extract real and clean customer data for analysis purposes.
- Analyze conversations data and feedback to user with extract meaningful insights from service data.
- Create chatbots and virtual agents and incorporate them into the customer service process model.
- Apply automation for ticket management, prioritization, and knowledge management.
- Personalize direct customer interactions using artificial intelligence techniques and methods.
- Estimate the business value of applying artificial intelligence techniques in customer services.
- Implement artificial intelligence techniques with ethics and responsible manner.
- Develop a change management plan concerning AI projects for customer services.
- Develop an AI strategy and roadmap for services.
Who Should Attend?
- Customer service managers and supervisors seeking to improve operations with AI.
- CX leaders and service designers focused on personalisation and journey optimisation.
- Support operations and analytics professionals responsible for metrics and insights.
- CRM and platform administrators integrating AI features into service stacks.
- Business analysts and project leads supporting AI adoption in service functions.
Course Schedule & Pricing
Choose the schedule that fits your life — all options include full course materials & certification support
Full-time immersion for rapid certification readiness.
Balance your career while you upgrade your skills.
Maximum flexibility for busy working professionals.
Outline
- Introduction to AI in customer service: scope and value propositions.
- Overview of machine learning for service workflows.
- Natural language processing fundamentals for conversational support.
- Deep learning concepts and where they fit in service solutions.
- AI-driven analytics for sentiment, intent, and topic detection.
- Data collection from tickets, chat, email, and voice; data quality and integrity.
- Turning insights into actions: prioritisation and workflow changes.
- Designing chatbots and virtual agents for self-service and assisted service.
- Integration patterns with CRM and contact centre systems.
- Automation for triage, routing, and knowledge suggestions.
- Personalisation techniques across channels and journeys.
- Measuring impact: CSAT, FRT, AHT, containment, and deflection indicators.
- Case studies of successful AI implementations in service.
- Responsible AI: fairness, transparency, and explainability in service contexts.
- Data privacy and compliance considerations for customer interactions.
- Trust-building and change management for agents and customers.
- Emerging trends in AI for service and future capabilities.
- Planning and running pilots; success metrics and iteration.
- Creating an AI strategy and roadmap for your organisation.
- Cultivating an AI-driven culture in support teams.
- Overcoming adoption challenges and scaling solutions.
Terms & Conditions
Frequently Asked Questions (FAQ's)
What is AI customer service training?
AI customer service training teaches teams how to use AI tools to support customers. An AI customer service training course shows how to work with chatbots, handle AI answers, and step in when human help is needed.
How to train employees on AI customer service tools?
Train employees by showing how the AI tool works and how it helps customers. An AI customer service training course should include hands-on practice, checking AI replies, and knowing when to take over a conversation.
How to train AI agents to escalate tickets in customer service?
AI agents are trained using rules and real examples that show when to send a ticket to a human. In an AI customer service training course, teams review escalations so the AI learns to pass complex or urgent issues at the right time.
Is the course vendor-agnostic or tied to a specific platform
The training is vendor-agnostic and focuses on broadly applicable AI and CX practices that map to the official AI CERTs exam. This allows learners to apply concepts across different service platforms.
Do I need coding experience to attend
How is the certification exam delivered and what does it cover
Our Partnership
Reliable certification testing is vital for validating professional skills in today’s tech-driven world. As a Pearson VUE Authorised Centre, we provide a secure environment for globally recognised IT exams. This partnership ensures convenient access to certifications with the highest standards of integrity and accuracy.
Our Accreditations
