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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