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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
- Applicable use cases for assistants within enterprises
Utilizing Mistral Connectors
- Establishing connections with Google Drive, Docs, and Calendars
- Integrating with various SaaS tools
- Managing authentication protocols and permissions
Retrieval-Augmented Generation (RAG)
- Concepts behind grounding conversational assistants
- Indexing enterprise data for accessibility
- Querying and responding with contextual relevance
Designing User Experiences for Assistants
- Core principles of conversational UX
- Designing flows for internal tooling
- Building engaging customer-facing chat experiences
Integration and Deployment
- Embedding assistants seamlessly into product workflows
- Leveraging APIs and SDKs for deployment
- Implementing testing and iteration cycles
Performance and Monitoring
- Evaluating the quality of responses
- Utilizing logging and analytics tools
- Establishing continuous improvement loops
Case Studies and Best Practices
- Insights from real-world implementation examples
- Lessons learned from enterprise deployments
- Future trends and directions for conversational assistants
Summary and Next Steps
Requirements
- A solid understanding of web applications and APIs
- Practical experience with software integration or full-stack development
- Familiarity with conversational AI or chatbot technologies
Target Audience
- Product managers
- Full-stack developers
- Integration engineers
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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