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Course Outline
AI in Customer Service: An Introduction
- The significance of AI in contemporary customer service
- Summary of Google Gemini AI features
Configuring Google Gemini for Client Interactions
- Technical configuration for Gemini AI
- Linking Gemini AI with customer service platforms
Automating Support with Gemini AI
- Structuring AI-based response mechanisms
- Educating Gemini AI using organization-specific data
Boosting Customer Engagement
- Tailoring client interactions via AI
- Employing Gemini AI for sentiment analysis
Evaluating Feedback with Gemini AI
- Extracting insights from client interactions
- Refining products and services through AI analysis
- Recognizing trends and patterns in client behavior
Case Studies and Best Practices
- Success narratives of AI in customer service
- Ethical aspects and preserving the human element
Project - Deploying a Gemini AI Chatbot
- Constructing a chatbot with Gemini AI
- Validating and launching the chatbot
Wrap-up and Future Directions
- Review of primary takeaways
- The trajectory of AI in customer service
Requirements
- Foundational knowledge of customer service principles
- Proficiency with customer relationship management (CRM) systems
- Background in data analysis
Audience
- Customer service managers
- Customer experience specialists
- Operational managers
14 Hours
Testimonials (1)
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