Customer Experience with Generative AI: Advanced CX with AI

Course Overview

• Course Title: Customer Experience with Generative AI: Advanced CX with AI
• Instructor: Andrii Piatakha
• Target Audience: Forward-thinking professionals and businesses
• Prerequisites:
  • Basic understanding of customer service principles
  • Interest in leveraging AI for enhancing customer interactions
  • No programming experience is needed for this course
  • Ability to analyze data for improving ChatGPT performance

Curriculum Highlights

• Key Topics Covered:
  • Understanding ChatGPT's capabilities in customer service
  • Applications of ChatGPT in enhancing customer interactions
  • Examples of ChatGPT in real-world customer service scenarios
  • Utilizing ChatGPT for automating responses
  • Tailoring ChatGPT for specific customer service needs
  • Strategies for efficient handling of customer inquiries
  • Best practices for integrating ChatGPT into workflows
  • Overcoming challenges in implementing ChatGPT
  • Case studies of successful ChatGPT implementations in e-commerce
  • Case studies of ChatGPT in healthcare applications
  • Case studies of ChatGPT in finance industries
  • Benefits of using ChatGPT for customer retention
  • Enhancing customer satisfaction with ChatGPT
  • Personalizing interactions using ChatGPT
  • Techniques for maintaining a natural conversation with ChatGPT
  • Role-playing scenarios for practical learning
  • Handling customer complaints using ChatGPT
  • Assisting with product issues through ChatGPT
  • Answering service-related queries with ChatGPT
  • Strategies for maintaining a positive user experience
  • Implementing conversational design principles
  • Ensuring consistency in ChatGPT's tone and language
  • Using ChatGPT analytics for response accuracy
  • Analyzing metrics to improve ChatGPT performance
  • Strategies for addressing user queries proactively
  • Personalizing interactions to enhance engagement
  • Continuous improvement based on customer feedback
  • Agile adaptation of ChatGPT to user needs
  • Defining KPIs for measuring ChatGPT effectiveness
  • Establishing benchmarks for response accuracy
  • Incorporating feedback loops for improvement
  • Designing a ChatGPT implementation plan
  • Setting up ChatGPT for Revolut support via Slack
  • Demo on handling common customer requests in Revolut
  • Practical exercises on crafting ChatGPT responses
  • Enhancing customer success with AI tools like ChatGPT
• Key Skills Learned:
  • Automating responses with ChatGPT
  • Handling customer inquiries
  • Integrating ChatGPT into workflows
  • Personalizing customer interactions
  • Maintaining natural conversations
  • Analyzing data for AI performance improvement
  • Implementing conversational design
  • Addressing user queries proactively
  • Continuous improvement strategies
  • Agile adaptation of AI
  • KPI definition and measurement
  • Feedback loop incorporation
  • AI implementation planning

Course Format

• Duration: 3.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 3 articles
  • Access on mobile and TV
  • Certificate of completion