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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

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