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Course Outline

Introductory Concepts: AI Agents in Customer Support

  • Defining AI-powered customer service agents
  • Practical applications and advantages of AI chatbots in support roles
  • Insights into conversational AI and NLP

Constructing AI Chatbots for Service Delivery

  • Selecting appropriate chatbot platforms (including Rasa, Dialogflow, and GPT-based models)
  • Crafting conversational pathways and user engagement flows
  • Connecting chatbots to existing customer support infrastructure

Applying Natural Language Processing (NLP) in Support Contexts

  • Interpreting intent recognition and entity extraction mechanisms
  • Training AI chatbots using NLP models
  • Managing ambiguous or complex user requests

Streamlining Customer Service Operations

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

Deployment and Oversight of AI Agents

  • Hosting AI chatbots via cloud-based platforms
  • Tracking performance metrics and analytical data
  • Maintaining security standards and compliance in AI-support systems

Refining AI Chatbots for Superior Engagement

  • Elevating chatbot accuracy and response excellence
  • Processing user feedback for continuous refinement
  • Evaluating customer satisfaction and chatbot performance indicators

Emerging Trends in AI-Driven Customer Support

  • Exploring Voice AI and multimodal interaction models
  • Leveraging AI for sentiment analysis and emotional intelligence
  • Integrating AI agents into omnichannel support strategies

Recap and Future Directions

Requirements

  • Familiarity with customer service workflows
  • Fundamental understanding of AI or automation principles
  • Prior exposure to business process automation is advantageous but not mandatory

Target Audience

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

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