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.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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