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Course Outline

Introduction to AI Agents in Customer Support

  • Defining AI-powered customer service agents
  • Applications and advantages of AI chatbots in customer support
  • An overview of conversational AI and NLP

Constructing AI Chatbots for Customer Service

  • Selecting the appropriate chatbot platform (e.g., Rasa, Dialogflow, GPT-based models)
  • Crafting conversational flows and user interaction models
  • Connecting chatbots to existing customer support systems

Applying Natural Language Processing (NLP) to Customer Support

  • Comprehending intent detection and entity extraction
  • Training AI chatbots using NLP models
  • Managing ambiguous and complex user inquiries

Streamlining Customer Service Workflows

  • AI-driven ticketing systems and automated response mechanisms
  • Integrating AI chatbots with CRM and helpdesk platforms
  • Achieving personalization and contextual awareness

Launching and Monitoring AI Agents

  • Hosting AI chatbots on cloud infrastructure
  • Tracking performance metrics and analytics
  • Maintaining security and compliance standards in AI-based customer support

Refining AI Chatbots for Enhanced Engagement

  • Boosting chatbot precision and response standards
  • Managing user feedback for ongoing enhancement
  • Evaluating customer satisfaction and chatbot performance metrics

Emerging 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

Conclusion and Future Directions

Requirements

  • Familiarity with customer service workflows
  • Foundational knowledge of AI or automation principles
  • Prior experience with business process automation is advantageous but not mandatory

Target Audience

  • Customer service managers
  • Chatbot developers
  • Business automation teams
 14 Hours

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