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