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Course Outline
Introduction to AI in Customer Service
- The function of AI within modern service frameworks.
- A comprehensive look at Google Gemini AI capabilities.
Configuring Google Gemini for Customer Interactions
- Technical requirements for Gemini AI setup.
- Connecting Gemini AI with existing customer service platforms.
Streamlining Customer Support via Gemini AI
- Creating AI-driven response mechanisms.
- Training Gemini AI using organization-specific data.
Improving Customer Engagement
- Personalizing interactions through AI applications.
- Employing Gemini AI for customer sentiment analysis.
Evaluating Customer Feedback with Gemini AI
- Extracting valuable insights from customer engagements.
- Refining products and services based on AI-derived analysis.
- Recognizing trends and patterns in customer behavior.
Case Studies and Industry Best Practices
- Examining success stories related to AI in customer service.
- Addressing ethical considerations and preserving human connection.
Project: Deploying a Gemini AI Chatbot
- Developing a chatbot powered by Gemini AI.
- Testing and launching the chatbot solution.
Conclusion and Emerging Trends
- Summarizing essential takeaways from the course.
- Looking ahead to the future role of AI in customer service.
Requirements
- A solid grasp of core customer service principles.
- Practical experience with customer relationship management (CRM) systems.
- Background in data analysis.
Target Audience
- Customer service managers.
- Customer experience specialists.
- Operational managers.
14 Hours
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