AI+ Customer Service™ by AI CERTs® is a specialized certification designed to help customer service professionals leverage Artificial Intelligence to improve efficiency and customer satisfaction. It enables faster resolutions, improved customer experiences, and more scalable support operations.
What You'll Learn:
• AI in Customer Service
How AI is transforming support channels and customer expectations
• Chatbots & Virtual Assistants
Designing and deploying AI-powered conversational agents
• Sentiment Analysis & Feedback Automation
Monitoring customer sentiment and automating responses
• Ticket Management & Workflow Automation
Using AI to prioritise, route, and manage support requests
• Customer Experience Measurement
Tracking CSAT, NPS, and service KPIs using AI analytics
Who This Course Is For
• Customer service representatives
• Team supervisors and contact centre managers
• Customer experience (CX) professionals
Prerequisites
• Basic customer service experience
• Foundational AI knowledge (AI+ Foundation™ recommended)
Course Outcome
By completing this course, you will:
• Implement AI tools to improve customer support efficiency
• Automate ticket handling and service workflows
• Analyse customer sentiment to enhance experiences
• Deploy chatbots and virtual assistants effectively
• Measure and optimise customer service performance
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1.1 How AI is Redefining Customer Service Standards
1.2 Key AI Technologies: NLP, Machine Learning & Automation
1.3 Overview of AI-Powered Customer Service Platforms
1.4 Use-Case, Case Study & Hands-On Activity
2.1 Designing and Deploying AI-Powered Chatbots
2.2 Natural Language Understanding and Intent Recognition
2.3 Escalation Workflows: Human-AI Collaboration Models
2.4 Use-Case, Case Study & Hands-On Activity
3.1 Real-Time Customer Sentiment Monitoring
3.2 Automated Analysis of Reviews, Surveys and Support Tickets
3.3 Proactive Service Recovery Using AI Insights
3.4 Use-Case, Case Study & Hands-On Activity
5.1 Measuring CSAT, NPS and CES with AI Analytics
5.2 Personalising Service at Scale Using Predictive AI
5.3 Ethical AI: Bias, Fairness and Data Privacy in Service
5.4 Future Trends: Agentic AI and Autonomous Support
5.5 Use-Case, Case Study & Hands-On Activity