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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
        
        
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