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Course Outline
Introduction to AI Agents in Customer Support
- Defining AI-powered customer service agents
- Exploring use cases and the strategic benefits of AI chatbots in support roles
- An overview of conversational AI and NLP fundamentals
Building AI Chatbots for Customer Service
- Selecting appropriate chatbot platforms (including Rasa, Dialogflow, and GPT-based models)
- Designing conversational flows and user interaction patterns
- Integrating chatbots with existing customer support infrastructure
Natural Language Processing (NLP) for Customer Support
- Mechanics of intent recognition and entity extraction
- Training AI chatbots using advanced NLP models
- Addressing ambiguous and complex user queries
Automating Customer Service Workflows
- Implementing AI-driven ticketing and automated response systems
- Connecting AI chatbots with CRM and helpdesk platforms
- Enabling personalization and contextual understanding
Deploying and Monitoring AI Agents
- Hosting AI chatbots on cloud infrastructure
- Tracking performance metrics and analytical data
- Maintaining security and compliance standards in AI-supported environments
Optimizing AI Chatbots for Better Engagement
- Enhancing chatbot accuracy and the quality of responses
- Incorporating user feedback for continuous improvement cycles
- Evaluating customer satisfaction and key chatbot success metrics
Future Trends in AI-Powered Customer Support
- Advancements in Voice AI and multimodal interactions
- Application of AI-driven sentiment analysis and emotional intelligence
- Role of AI agents in omnichannel customer support strategies
Summary and Next Steps
Requirements
- Familiarity with established customer service processes
- Fundamental understanding of AI principles or automation concepts
- Prior experience with business process automation is advantageous but not mandatory
Target Audience
- Customer service managers
- Chatbot developers
- Business automation teams
14 Hours
