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Duration 14 hours
Course Outline
Introduction to AI Agents in Customer Support
- Definition and role of AI-powered customer service agents.
- Key use cases and advantages of AI chatbots in support environments.
- Brief overview of conversational AI and NLP.
Creating AI Chatbots for Customer Service
- Selecting the appropriate chatbot platform (Rasa, Dialogflow, GPT-based models).
- Structuring conversational paths and user interaction points.
- Connecting chatbots to existing customer support systems.
Natural Language Processing (NLP) for Customer Support
- Concepts of intent recognition and entity extraction.
- Training AI chatbots using NLP models.
- Addressing vague and intricate user queries.
Streamlining Customer Service Workflows with AI
- AI-driven ticketing and automated response mechanisms.
- Integration of AI chatbots with CRM and helpdesk solutions.
- Achieving personalization through contextual understanding.
Deployment and Monitoring of AI Agents
- Host AI chatbots on cloud infrastructure.
- Tracking performance metrics and analytical data.
- Maintaining security and compliance in AI-assisted support.
Enhancing Engagement through AI Chatbot Optimization
- Refining chatbot accuracy and response standards.
- Managing user feedback for ongoing improvement.
- Assessing customer satisfaction and chatbot performance indicators.
Emerging Trends in AI-Powered Customer Support
- Voice AI and multimodal interaction capabilities.
- AI-driven sentiment analysis and emotional intelligence.
- Role of AI agents in omnichannel customer support.
Conclusion and Path Forward
Requirements
- Familiarity with standard customer service workflows
- Foundational knowledge of AI or automation principles
- Background in business process automation is beneficial but not mandatory
Target Audience
- Customer service managers
- Chatbot developers
- Business automation teams
