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Course Outline
Introduction to AI in Customer Service
- The role of AI in contemporary customer service
- Overview of Google Gemini AI's capabilities
Setting Up Google Gemini for Customer Interactions
- Technical configuration of Gemini AI
- Integrating Gemini AI with existing customer service platforms
Automating Customer Support with Gemini AI
- Designing AI-powered response systems
- Training Gemini AI using company-specific data
Enhancing Customer Engagement
- Personalizing customer interactions through AI
- Utilizing Gemini AI for customer sentiment analysis
Analyzing Customer Feedback with Gemini AI
- Extracting insights from customer interactions
- Refining products and services based on AI analysis
- Identifying trends and patterns in customer behavior
Case Studies and Best Practices
- Success stories involving AI in customer service
- Ethical considerations and preserving the human element
Project - Implementing Gemini AI Chatbot
- Developing a chatbot using Gemini AI
- Testing and deploying the chatbot
Conclusion and Future Trends
- Summary of key takeaways
- The future trajectory of AI in customer service
Requirements
- A solid grasp of fundamental customer service principles
- Familiarity with customer relationship management (CRM) systems
- Prior experience in data analysis
Target Audience
- Customer service managers
- Customer experience specialists
- Operational managers
14 Hours
Testimonials (1)
Flow , vibe and topic on presentation