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Duration 14 hours
Course Outline
Introductory Concepts: AI Agents in Customer Support
- Defining AI-powered customer service agents
- Practical applications and advantages of AI chatbots in support roles
- Insights into conversational AI and NLP
Constructing AI Chatbots for Service Delivery
- Selecting appropriate chatbot platforms (including Rasa, Dialogflow, and GPT-based models)
- Crafting conversational pathways and user engagement flows
- Connecting chatbots to existing customer support infrastructure
Applying Natural Language Processing (NLP) in Support Contexts
- Interpreting intent recognition and entity extraction mechanisms
- Training AI chatbots using NLP models
- Managing ambiguous or complex user requests
Streamlining Customer Service Operations
- Implementing AI-driven ticketing and automated response systems
- Synchronizing AI chatbots with CRM and helpdesk ecosystems
- Enhancing personalization and contextual awareness
Deployment and Oversight of AI Agents
- Hosting AI chatbots via cloud-based platforms
- Tracking performance metrics and analytical data
- Maintaining security standards and compliance in AI-support systems
Refining AI Chatbots for Superior Engagement
- Elevating chatbot accuracy and response excellence
- Processing user feedback for continuous refinement
- Evaluating customer satisfaction and chatbot performance indicators
Emerging Trends in AI-Driven Customer Support
- Exploring Voice AI and multimodal interaction models
- Leveraging AI for sentiment analysis and emotional intelligence
- Integrating AI agents into omnichannel support strategies
Recap and Future Directions
Requirements
- Familiarity with customer service workflows
- Fundamental understanding of AI or automation principles
- Prior exposure to business process automation is advantageous but not mandatory
Target Audience
- Customer service managers
- Chatbot developers
- Business automation teams
