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 Duration 14 hours

Course Outline

Introduction to Mistral Conversational AI

  • Overview of Mistral’s conversational models
  • Key capabilities and inherent limitations
  • Enterprise use cases for assistants

Utilising Mistral Connectors

  • Linking with Google Drive, Docs, and Calendars
  • Integrations with various SaaS tools
  • Managing authentication and access permissions

Retrieval-Augmented Generation (RAG)

  • Concepts behind grounding conversational assistants
  • Indexing enterprise data effectively
  • Context-aware querying and response generation

Designing User Experiences for Assistants

  • Core principles of conversational UX
  • Creating flows for internal productivity tools
  • Building engaging customer-facing chat experiences

Integration and Deployment

  • Embedding assistants into product workflows
  • Utilising APIs and SDKs for deployment
  • Establishing testing and iteration cycles

Performance and Monitoring

  • Evaluating the quality of responses
  • Implementing logging and analytics
  • Driving continuous improvement loops

Case Studies and Best Practices

  • Insights from real-world implementations
  • Key lessons from enterprise deployments
  • Future trajectories 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
  • Basic familiarity with conversational AI or chatbot technology

Target Audience

  • Product managers
  • Full-stack developers
  • Integration engineers

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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