Cursusaanbod

Introduction to Mistral Conversational AI

  • Overview of Mistral conversational models
  • Capabilities and limitations
  • Use cases for assistants in enterprises

Working with Mistral Connectors

  • Connecting to Google Drive, Docs, and Calendars
  • Integration with SaaS tools
  • Managing authentication and permissions

Retrieval-Augmented Generation (RAG)

  • Concepts of grounding conversational assistants
  • Indexing enterprise data
  • Querying and responding with context

Designing User Experiences for Assistants

  • Principles of conversational UX
  • Designing flows for internal tools
  • Building customer-facing chat experiences

Integration and Deployment

  • Embedding assistants into product workflows
  • APIs and SDKs for deployment
  • Testing and iteration cycles

Performance and Monitoring

  • Evaluating response quality
  • Logging and analytics
  • Continuous improvement loops

Case Studies and Best Practices

  • Examples from real-world implementations
  • Lessons learned in enterprise deployments
  • Future directions of conversational assistants

Summary and Next Steps

Vereisten

  • An understanding of web applications and APIs
  • Experience with software integration or full-stack development
  • Familiarity with conversational AI or chatbots

Audience

  • Product managers
  • Full-stack developers
  • Integration engineers
 14 Uren

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