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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 support contexts
  • Introduction to conversational AI and NLP

Developing AI Chatbots for Customer Service

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

Natural Language Processing (NLP) for Customer Support

  • Exploring intent recognition and entity extraction
  • Training AI chatbots using NLP models
  • Managing ambiguous and complex user inputs

Streamlining Customer Service Workflows

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

Implementing and Monitoring AI Agents

  • Hosting AI chatbots on cloud infrastructures
  • Tracking performance metrics and analytics
  • Maintaining security and compliance in AI-supported customer service

Enhancing AI Chatbots for Superior Engagement

  • Boosting chatbot accuracy and response quality
  • Incorporating user feedback for ongoing optimization
  • Evaluating customer satisfaction and chatbot success indicators

Emerging Trends in AI-Powered Customer Support

  • Voice AI and multimodal interaction capabilities
  • AI-driven sentiment analysis and emotional intelligence
  • AI agents within omnichannel support ecosystems

Conclusion and Future Directions

Requirements

  • Familiarity with customer service workflows
  • Fundamental knowledge of AI or automation principles
  • 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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