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Workshop Wrap-Up

Congratulations! You've built a functional customer service AI agent using Azure AI Foundry. Let's review what you've accomplished in the last 2 hours.

Interactive Review

To verify your setup and review key concepts, we've prepared an interactive notebook:

Launch Conclusion Workshop

This notebook will help you: - Verify your Azure AI Foundry configuration - Review workshop concepts - Plan your next steps

What You've Built

A complete customer service solution that: 1. Uses GPT model for natural language understanding 2. Handles common customer inquiries 3. Provides accurate, helpful responses 4. Monitors its own performance

What You've Learned

  1. Model Deployment
  2. Deploying Azure OpenAI models
  3. Basic configuration

  4. Quick testing methods

  5. Agent Development with Azure AI SDK

  6. Creating an AI agent using AIProjectClient
  7. Handling customer queries with InferenceClient
  8. Managing context with Azure AI patterns

  9. Error handling and telemetry

  10. Evaluation

  11. Setting up metrics
  12. Monitoring performance
  13. Improving responses
  14. Tracking success

Next Steps

  1. Enhance Your Agent
  2. Add more product documentation
  3. Implement conversation history
  4. Improve error handling

  5. Add more evaluation metrics

  6. Explore More

  7. Azure AI Documentation
  8. AI Foundry Documentation
  9. Community Examples

Thanks for participating! You now have a foundation for building AI-powered customer service solutions with Azure AI Foundry.