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Course Outline
Introduction to AI in Customer Service
- The role of AI in modern customer service
- Overview of Google Gemini AI capabilities
Setting Up Google Gemini for Customer Interactions
- Technical setup for Gemini AI
- Integrating Gemini AI with customer service platforms
Automating Customer Support with Gemini AI
- Designing AI-driven response systems
- Training Gemini AI on company-specific data
Enhancing Customer Engagement
- Personalizing customer interactions with AI
- Using Gemini AI for customer sentiment analysis
Analyzing Customer Feedback with Gemini AI
- Gathering insights from customer interactions
- Improving products and services based on AI analysis
- Identifing trends and patterns in customer behavior
Case Studies and Best Practices
- Success stories of AI in customer service
- Ethical considerations and maintaining human touch
Project - Implementing Gemini AI Chatbot
- Building a chatbot using Gemini AI
- Testing and deploying the chatbot
Conclusion and Future Trends
- Recap of key learnings
- The future of AI in customer service
Requirements
- An understanding of customer service principles
- Experience with customer relationship management (CRM) systems
- Data analysis experience
Audience
- Customer service managers
- Customer experience specialists
- Operational managers
14 Hours