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 Duration 14 hours

Course Outline

Introduction to Mistral Conversational AI

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

Utilising Mistral Connectors

  • Establishing connections with Google Drive, Docs, and Calendars
  • Integrating with various SaaS tools
  • Managing authentication protocols and permissions

Retrieval-Augmented Generation (RAG)

  • Core concepts of grounding conversational assistants
  • Indexing enterprise data for retrieval
  • Querying and generating context-aware responses

Crafting User Experiences for Assistants

  • Fundamental principles of conversational UX
  • Designing workflows for internal tools
  • Building engaging customer-facing chat experiences

Integration and Deployment

  • Embedding assistants into broader product workflows
  • Leveraging APIs and SDKs for deployment
  • Conducting testing and iteration cycles

Performance and Monitoring

  • Evaluating the quality of assistant responses
  • Implementing logging and analytics systems
  • Establishing continuous improvement loops

Case Studies and Best Practices

  • Insights from real-world implementations
  • Key lessons from enterprise deployments
  • Future trends for conversational assistants

Summary and Next Steps

Requirements

  • A solid understanding of web applications and APIs
  • Practical experience in software integration or full-stack development
  • Familiarity with conversational AI or chatbot technologies

Audience

  • Product managers
  • Full-stack developers
  • Integration engineers

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