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 Duration 14 hours

Course Outline

Introduction to Mistral Conversational AI

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

Utilizing Mistral Connectors

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

Retrieval-Augmented Generation (RAG)

  • Concepts of grounding conversational assistants
  • Indexing enterprise data sources
  • Querying and generating context-aware responses

Crafting User Experiences for Assistants

  • Core principles of conversational UX
  • Designing workflows for internal tools
  • Creating customer-facing chat experiences

Integration and Deployment

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

Performance and Monitoring

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

Case Studies and Best Practices

  • Examples from real-world implementations
  • Insights from enterprise deployments
  • Future trends in conversational assistants

Summary and Next Steps

Requirements

  • A solid grasp of web applications and APIs
  • Hands-on experience with software integration or full-stack development
  • Knowledge of conversational AI or chatbot technologies

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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