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Course Outline
Introduction to AI Agents in Customer Support
- Defining AI-powered customer service agents
- Practical applications and advantages of AI chatbots in support
- Overview of conversational AI and NLP
Developing AI Chatbots for Customer Service
- Selecting the appropriate chatbot platform (e.g., Rasa, Dialogflow, GPT-based models)
- Designing conversational flows and user interaction models
- Integrating chatbots with existing customer support infrastructure
Applying Natural Language Processing (NLP) in Customer Support
- Mastering intent recognition and entity extraction
- Training AI chatbots using NLP models
- Managing ambiguous and complex user inquiries
Streamlining Customer Service Workflows
- Implementing AI-driven ticketing and automated response systems
- Connecting AI chatbots with CRM and helpdesk platforms
- Achieving personalization through contextual understanding
Launching and Monitoring AI Agents
- Hosting AI chatbots on cloud infrastructure
- Tracking performance metrics and analytics
- Upholding security and compliance standards in AI-driven support
Enhancing AI Chatbots for Superior Engagement
- Refining chatbot accuracy and response quality
- Processing user feedback for continuous improvement
- 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
- Deploying AI agents across omnichannel customer support
Summary and Next Steps
Requirements
- Familiarity with customer service workflows
- Foundational knowledge of AI or automation concepts
- Experience with business process automation is beneficial but not mandatory
Intended Audience
- Customer service managers
- Chatbot developers
- Business automation teams
14 Hours
