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Duration 14 hours
Course Outline
Introduction to AI Agents in Customer Support
- Defining AI-powered customer service agents
- Applications and advantages of AI chatbots in support contexts
- Broad perspective on conversational AI and NLP
Constructing AI Chatbots for Customer Service
- Selecting appropriate chatbot platforms (such as Rasa, Dialogflow, or GPT-based models)
- Architecting conversational paths and user interactions
- Connecting chatbots with existing customer support infrastructure
Applying Natural Language Processing (NLP) to Customer Support
- Mastering intent detection and entity extraction
- Conditioning AI chatbots using NLP frameworks
- Navigating ambiguous and complex user requests
Streamlining Customer Service Workflows with Automation
- Automated ticketing and response systems powered by AI
- Integration of AI chatbots with CRM and helpdesk platforms
- Implementing personalization and contextual awareness
Launching and Overseeing AI Agents
- Hosting AI chatbots on cloud infrastructure
- Tracking performance metrics and analytics
- Maintaining security and compliance standards in AI-driven support
Enhancing AI Chatbots for Superior Engagement
- Boosting chatbot precision and response excellence
- Processing user feedback for ongoing refinement
- Assessing customer satisfaction and chatbot performance indicators
Emerging Trends in AI-Powered Customer Support
- Voice AI and multimodal engagement
- Sentiment analysis and emotional intelligence driven by AI
- AI agents within omnichannel customer support strategies
Conclusion and Recommended Next Steps
Requirements
- Familiarity with standard customer service workflows
- Foundational knowledge of AI or automation principles
- Background in business process automation is beneficial, though not mandatory
Target Audience
- Customer service managers
- Chatbot developers
- Business automation teams