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Course Outline
Introduction to AI Agents in Customer Support
- Defining AI-powered customer service agents
- Exploring use cases and the advantages of AI chatbots in support roles
- A brief overview of conversational AI and NLP
Building AI Chatbots for Customer Service
- Selecting the appropriate chatbot platform (Rasa, Dialogflow, GPT-based models)
- Designing effective conversational flows and user interactions
- Connecting chatbots with existing customer support infrastructure
Natural Language Processing (NLP) for Customer Support
- Comprehending intent recognition and entity extraction
- Training AI chatbots using NLP models
- Addressing ambiguous and complex user queries
Automating Customer Service Workflows
- Implementing AI-driven ticketing and automated response systems
- Integrating AI chatbots with CRM and helpdesk platforms
- Achieving personalization and contextual awareness
Deploying and Monitoring AI Agents
- Hosting AI chatbots on cloud-based platforms
- Tracking performance through analytics
- Maintaining security and compliance standards in AI-driven support
Optimizing AI Chatbots for Better Engagement
- Enhancing chatbot accuracy and response quality
- Processing user feedback to drive continuous improvement
- Evaluating customer satisfaction and chatbot success metrics
Future Trends in AI-Powered Customer Support
- Voice AI and multimodal interaction capabilities
- AI-driven sentiment analysis and emotional intelligence
- The role of AI agents in omnichannel customer support
Summary and Next Steps
Requirements
- Familiarity with customer service operations and workflows
- Foundational understanding of AI or automation principles
- Background in business process automation is beneficial, though not mandatory
Target Audience
- Customer service managers
- Chatbot developers
- Business automation teams
14 Hours
