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 Duration 14 hours

Course Outline

Introduction to Mistral Conversational AI

  • Overview of Mistral’s conversational models
  • Understanding capabilities and limitations
  • Exploring enterprise use cases for AI assistants

Utilizing Mistral Connectors

  • Connecting to Google Drive, Docs, and Calendars
  • Integrating with various SaaS tools
  • Managing authentication and access permissions

Retrieval-Augmented Generation (RAG)

  • Concepts for grounding conversational assistants
  • Indexing and organizing enterprise data
  • Querying and generating responses with relevant context

Designing User Experiences for Assistants

  • Core principles of conversational UX
  • Structuring flows for internal tools
  • Crafting customer-facing chat experiences

Integration and Deployment

  • Embedding assistants into product workflows
  • Using APIs and SDKs for deployment
  • Implementing testing and iteration cycles

Performance and Monitoring

  • Evaluating the quality of responses
  • Tracking logging and analytics
  • Establishing continuous improvement loops

Case Studies and Best Practices

  • Real-world implementation examples
  • Key lessons from enterprise deployments
  • Future trends in conversational assistants

Summary and Next Steps

Requirements

  • A solid grasp of web applications and API structures.
  • Practical experience in software integration or full-stack development.
  • Working knowledge of conversational AI or chatbot technologies.

Target Audience

  • Product managers
  • Full-stack developers
  • Integration engineers

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