Course Outline
Introduction to Mistral Conversational AI
- Overview of Mistral conversational models
- Capabilities and limitations
- Use cases for assistants in enterprises
Working with Mistral Connectors
- Connecting to Google Drive, Docs, and Calendars
- Integration with SaaS tools
- Managing authentication and permissions
Retrieval-Augmented Generation (RAG)
- Concepts of grounding conversational assistants
- Indexing enterprise data
- Querying and responding with context
Designing User Experiences for Assistants
- Principles of conversational UX
- Designing flows for internal tools
- Building customer-facing chat experiences
Integration and Deployment
- Embedding assistants into product workflows
- APIs and SDKs for deployment
- Testing and iteration cycles
Performance and Monitoring
- Evaluating response quality
- Logging and analytics
- Continuous improvement loops
Case Studies and Best Practices
- Examples from real-world implementations
- Lessons learned in enterprise deployments
- Future directions of conversational assistants
Summary and Next Steps
Requirements
- An understanding of web applications and APIs
- Experience with software integration or full-stack development
- Familiarity with conversational AI or chatbots
Audience
- Product managers
- Full-stack developers
- Integration engineers
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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