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Course Outline
Introduction to AI Agents in Customer Support
- Defining AI-powered customer service agents
- Practical use cases and advantages of AI chatbots in support
- An overview of conversational AI and NLP
Developing AI Chatbots for Customer Service
- Selecting the appropriate chatbot platform (e.g., Rasa, Dialogflow, GPT-based models)
- Structuring conversational flows and user interactions
- Connecting chatbots to existing customer support systems
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 with Automation
- Implementing AI-driven ticketing and automated response systems
- Connecting AI chatbots with CRM and helpdesk platforms
- Achieving personalization and contextual awareness
Deployment and Monitoring of AI Agents
- Hosting AI chatbots on cloud infrastructure
- Tracking performance and analyzing data
- Safeguarding security and compliance in AI-driven support
Enhancing AI Chatbots for Superior Engagement
- Boosting chatbot accuracy and the quality of responses
- Processing user feedback for continuous enhancement
- Evaluating customer satisfaction and chatbot performance metrics
Emerging Trends in AI-Driven Customer Support
- Voice AI and multimodal interaction capabilities
- AI-based sentiment analysis and emotional intelligence
- The role of AI agents in omnichannel customer support
Conclusion and Future Directions
Requirements
- Familiarity with standard customer service workflows
- Foundational knowledge of AI or automation principles
- Experience with business process automation is beneficial but not mandatory
Target Audience
- Customer service managers
- Chatbot developers
- Business automation teams
14 Hours
