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Course Outline
Introduction to the Mistral AI Ecosystem
- Overview of Mistral models (Medium 3, Le Chat Enterprise, Devstral)
- Positioning within the agentic AI ecosystem
- Key features and competitive differentiators
Principles of Agent Design
- Defining the core components of an AI agent
- Establishing agent roles, memory structures, and tools
- Distinguishing between enterprise-focused and developer-centric agents
Hands-On Experience with Mistral Medium 3
- Model setup and configuration
- Inference tuning and optimization techniques
- Multimodal and coding workflow integration
Building Solutions with Devstral
- Code-first agent design principles
- Integrating Devstral for advanced code understanding
- Best practices for engineering assistants
Le Chat Enterprise Integration
- Deploying Le Chat for enterprise-level agents
- Integrating RBAC, SSO, and compliance controls
- Connecting enterprise applications and data stores
End-to-End Agent Workflows
- Combining Mistral Medium 3, Devstral, and Le Chat
- Constructing multi-tool workflows using connectors, APIs, and data sources
- Implementing grounding and RAG patterns
Deployment and Governance
- Comparing self-hosting versus API deployment
- Monitoring, logging, and observability strategies
- Managing cost, performance, and compliance considerations
Summary and Future Directions
Requirements
- A solid understanding of Python programming
- Experience with machine learning workflows
- Familiarity with APIs and model integration
Target 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 3200 € + VAT*
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