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Course Outline
Introduction to AI Agents in Customer Support
- Defining AI-powered customer service agents.
- Key use cases and advantages of AI chatbots in support roles.
- An overview of conversational AI and NLP.
Building AI Chatbots for Customer Service
- Selecting the appropriate chatbot platform (e.g., Rasa, Dialogflow, GPT-based models).
- Designing effective conversational flows and user interactions.
- Connecting chatbots with existing customer support systems.
Natural Language Processing (NLP) for Customer Support
- Exploring intent recognition and entity extraction.
- Training AI chatbots using NLP models.
- Managing ambiguous and complex user queries.
Automating Customer Service Workflows
- Implementing AI-powered ticketing and automated response systems.
- Integrating AI chatbots with CRM and helpdesk platforms.
- Achieving personalization and contextual understanding.
Deploying and Monitoring AI Agents
- Hosting AI chatbots on cloud infrastructure.
- Tracking performance and analyzing data.
- Maintaining security and compliance in AI-driven support environments.
Optimizing AI Chatbots for Better Engagement
- Enhancing chatbot accuracy and response quality.
- Incorporating user feedback for continuous improvement.
- Evaluating customer satisfaction and chatbot success metrics.
Future Trends in AI-Powered Customer Support
- Voice AI and multimodal interaction capabilities.
- AI-driven sentiment analysis and emotional intelligence.
- The role of AI agents in omnichannel customer support.
Summary and Next Steps
Requirements
- Familiarity with standard customer service workflows.
- Foundational knowledge of AI or automation concepts.
- Background in business process automation is beneficial but not mandatory.
Target Audience
- Customer service managers.
- Chatbot developers.
- Business automation teams.
14 Hours
