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Course Outline
Introduction to Mistral AI Ecosystem
- Overview of Mistral models (Medium 3, Le Chat Enterprise, Devstral)
- Positioning in the agentic AI ecosystem
- Key features and differentiators
Agent Design Principles
- What makes an AI agent
- Defining agent roles, memory, and tools
- Enterprise vs developer-centric agents
Hands-On with Mistral Medium 3
- Model setup and configuration
- Inference tuning and optimization
- Multimodal and coding workflows
Building with Devstral
- Code-first agent design
- Integrating Devstral for code understanding
- Engineering assistant best practices
Le Chat Enterprise Integration
- Deploying Le Chat for enterprise agents
- RBAC, SSO, and compliance integration
- Connecting enterprise apps and data stores
End-to-End Agent Workflows
- Combining Mistral Medium 3, Devstral, and Le Chat
- Building multi-tool workflows (connectors, APIs, data sources)
- Grounding and RAG patterns
Deployment and Governance
- Self-hosting vs API deployment
- Monitoring, logging, and observability
- Cost, performance, and compliance considerations
Summary and Next Steps
Requirements
- An understanding of Python programming
- Experience with machine learning workflows
- Familiarity with APIs and model integration
Audience
- AI engineers
- Solution architects
- Applied ML teams
- Product developers
14 Hours
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 2900 € + VAT*
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