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Course Outline
Introduction to AI Agents in Customer Support
- Defining AI-driven customer service agents
- Applications and advantages of AI chatbots in support roles
- An introduction to conversational AI and NLP
Developing AI Chatbots for Customer Service
- Selecting appropriate chatbot platforms (such as Rasa, Dialogflow, and GPT-based models)
- Architecting conversational pathways and user experiences
- Connecting chatbots to existing customer support infrastructure
Applying Natural Language Processing (NLP) in Customer Support
- Analyzing intent detection and entity extraction
- Training AI chatbots using NLP models
- Managing ambiguous and complex user requests
Automating Customer Service Processes
- AI-driven ticketing and automated response frameworks
- Integration of AI chatbots with CRM and helpdesk tools
- Delivering personalization and contextual awareness
Launching and Monitoring AI Agents
- Deploying AI chatbots on cloud infrastructure
- Tracking performance metrics and analytics
- Maintaining security and compliance in AI-assisted support
Refining AI Chatbots for Enhanced Engagement
- Boosting chatbot precision and response standards
- Processing user feedback for continuous refinement
- Evaluating customer satisfaction and chatbot performance indicators
Emerging Trends in AI-Driven Customer Support
- Voice AI and multi-modal interactions
- AI-enabled sentiment analysis and emotional intelligence
- AI agents in omnichannel support strategies
Recap and Future Directions
Requirements
- Familiarity with customer service processes
- Fundamental understanding of AI or automation principles
- Background in business process automation is advantageous but not mandatory
Intended Audience
- Customer service supervisors
- Chatbot developers
- Business automation teams
14 Hours