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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

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