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Course Outline
Foundations of AI Agents in Customer Support
- Defining AI-powered customer service agents.
- Exploring practical use cases and the advantages of AI chatbots.
- An introduction to conversational AI and NLP.
Creating AI Chatbots for Service Delivery
- Selecting appropriate chatbot platforms (e.g., Rasa, Dialogflow, GPT-based models).
- Designing effective conversational flows and user engagement patterns.
- Connecting chatbots to existing customer support infrastructure.
Applying NLP in Customer Support
- Mastering intent recognition and entity extraction.
- Training AI chatbots using NLP models.
- Managing ambiguous and complex user requests.
Workflow Automation in Customer Service
- Implementing AI-driven ticketing and automated response mechanisms.
- Integrating AI chatbots with CRM and helpdesk systems.
- Achieving personalization through contextual understanding.
Deployment and Oversight of AI Agents
- Hosting AI chatbots on cloud infrastructure.
- Tracking performance metrics and analytics.
- Maintaining security and compliance standards in AI-driven support.
Enhancing Chatbot Engagement and Quality
- Refining chatbot accuracy and the quality of responses.
- Incorporating user feedback for continuous improvement.
- Evaluating customer satisfaction and chatbot success indicators.
Emerging Trends in AI Customer Support
- The rise of Voice AI and multimodal interactions.
- Utilizing AI for sentiment analysis and emotional intelligence.
- The role of AI agents in omnichannel support strategies.
Concluding Summary and Path Forward
Requirements
- Familiarity with standard customer service workflows.
- Foundational knowledge of AI principles or automation concepts.
- While not mandatory, prior experience with business process automation is advantageous.
Target Audience
- Customer service managers and leads.
- Chatbot developers and engineers.
- Business automation and process teams.
14 Hours
