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Duration 14 hours
Course Outline
Fundamentals of the Mistral AI Ecosystem
- Introduction to Mistral models (Medium 3, Le Chat Enterprise, Devstral)
- Placement within the agentic AI landscape
- Core features and unique advantages
Principles of Agent Design
- Defining the nature of an AI agent
- Establishing agent roles, memory, and toolsets
- Enterprise-focused vs developer-centric agent designs
Practical Application with Mistral Medium 3
- Model initialization and setup
- Tuning and optimizing inference
- Multimodal and coding workflows
Development using Devstral
- Code-oriented agent architecture
- Integrating Devstral for code interpretation
- Best practices for engineering assistants
Integration of Le Chat Enterprise
- Implementing Le Chat for enterprise agents
- Integrating RBAC, SSO, and compliance features
- Linking enterprise applications and data repositories
Comprehensive Agent Workflows
- Synthesizing Mistral Medium 3, Devstral, and Le Chat
- Creating multi-tool workflows (connectors, APIs, data sources)
- Grounding and RAG methodologies
Deployment and Governance
- Comparing self-hosting with API deployment
- Monitoring, logging, and observability strategies
- Considerations regarding cost, performance, and compliance
Conclusion and Future Directions
Requirements
- Proficiency in Python programming
- Practical experience with machine learning workflows
- Knowledge of APIs and model integration
Target Audience
- AI Engineers
- Solution Architects
- Applied ML Teams
- Product Developers
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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