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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

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