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Duration 14 hours
Course Outline
Foundations of Mistral Conversational AI
- Overview of Mistral’s conversational model capabilities
- Understanding strengths and limitations
- Identifying enterprise use cases for assistants
Utilizing Mistral Connectors
- Establishing connections with Google Drive, Docs, and Calendars
- Integrating with various SaaS platforms
- Managing authentication protocols and permission sets
Implementing Retrieval-Augmented Generation (RAG)
- Principles of grounding conversational assistants
- Indexing and structuring enterprise data
- Generating context-aware queries and responses
Crafting User Experiences for Assistants
- Core principles of conversational UX design
- Designing workflows for internal utility tools
- Creating engaging customer-facing chat experiences
Integration and Deployment Strategies
- Embedding assistants into existing product workflows
- Leveraging APIs and SDKs for deployment
- Establishing testing and iteration cycles
Performance Management and Monitoring
- Evaluating the quality of AI responses
- Implementing logging and analytics frameworks
- Driving continuous improvement loops
Real-World Case Studies and Best Practices
- Insights from successful enterprise implementations
- Key lessons learned during deployment
- Exploring future trends in conversational assistants
Conclusion and Strategic Next Steps
Requirements
- A solid grasp of web applications and API structures
- Practical experience in software integration or full-stack development
- Familiarity with conversational AI concepts or chatbot mechanics
Target Audience
- Product Managers
- Full-Stack Developers
- Integration Engineers