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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 operations
  • Introduction to conversational AI and NLP

Creating AI Chatbots for Customer Service

  • Selecting appropriate chatbot platforms (such as Rasa, Dialogflow, or GPT-based models)
  • Structuring conversational pathways and user interactions
  • Connecting chatbots to existing customer support infrastructure

Applying Natural Language Processing (NLP) to Customer Support

  • Mastering intent identification and entity extraction
  • Training AI chatbots using NLP frameworks
  • Managing ambiguous and intricate user requests

Streamlining Customer Service Operations with AI

  • Implementing AI-based ticketing and automated response mechanisms
  • Linking AI chatbots with CRM and helpdesk systems
  • Enhancing personalization and contextual awareness

Implementing and Overseeing AI Agents

  • Hosting AI chatbots on cloud infrastructure
  • Tracking performance and analyzing data
  • Maintaining security and regulatory compliance in AI-assisted support

Refining AI Chatbots for Enhanced Engagement

  • Boosting chatbot precision and response standards
  • Processing user feedback and fostering continuous enhancement
  • Assessing customer satisfaction and chatbot effectiveness indicators

Emerging Trends in AI-Driven Customer Support

  • Voice AI and multimodal engagement
  • AI-enabled sentiment analysis and emotional intelligence
  • The role of AI agents in omnichannel customer support

Recap and Path Forward

Requirements

  • A solid grasp of customer service processes
  • Familiarity with basic AI or automation principles
  • Exposure to business process automation is beneficial, though not mandatory

Target Audience

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

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