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Course Outline
Introduction to AI Agents in Customer Support
- Defining AI-powered customer service agents.
- Exploring use cases and advantages of AI chatbots in support roles.
- An overview of conversational AI and NLP.
Developing AI Chatbots for Customer Service
- Selecting the optimal chatbot platform (e.g., Rasa, Dialogflow, GPT-based models).
- Crafting conversational flows and user interaction designs.
- Connecting chatbots to existing customer support systems.
Applying Natural Language Processing (NLP) for Customer Support
- Concepts of intent recognition and entity extraction.
- Training AI chatbots using NLP models.
- Managing ambiguous and complex user requests.
Streamlining Customer Service Workflows with Automation
- Implementing AI-driven ticketing and automated response mechanisms.
- Linking AI chatbots with CRM and helpdesk platforms.
- Achieving personalization and contextual awareness.
Deployment and Monitoring of AI Agents
- Host AI chatbots on cloud infrastructure.
- Track performance metrics and analytics.
- Maintaining security and compliance standards in AI support.
Refining AI Chatbots for Enhanced Engagement
- Boosting chatbot accuracy and response quality.
- Processing user feedback for continuous improvement.
- Evaluating customer satisfaction and key success metrics.
Emerging Trends in AI-Powered Customer Support
- Voice AI and multimodal interaction capabilities.
- Utilizing AI for sentiment analysis and emotional intelligence.
- Integrating AI agents into omnichannel support strategies.
Recap and Recommended Next Steps
Requirements
- Familiarity with customer service workflows.
- Foundational understanding 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
