Open AI Agent Development with Mistral AI Training Course
Mistral AI offers a robust suite of open-source and enterprise-grade AI models designed for language processing, multimodal applications, and agentic systems.
This instructor-led live training, available online or onsite, targets intermediate to advanced professionals aiming to build, deploy, and manage AI agents utilizing Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.
Upon completion, participants will be able to:
- Comprehend the architecture and functionalities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
- Design and implement AI agents using Mistral models tailored for enterprise and developer scenarios.
- Integrate coding systems, connectors, and enterprise data into agent workflows.
- Optimize performance, cost-efficiency, and compliance for agents powered by Mistral.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical practice sessions.
- Hands-on implementation within a live lab environment.
Course Customization Options
- For customized training requests, please contact us to arrange details.
Course Outline
Introduction to the Mistral AI Ecosystem
- Overview of Mistral models (Medium 3, Le Chat Enterprise, Devstral)
- Positioning within the agentic AI landscape
- Key features and differentiators
Agent Design Principles
- Essential characteristics of an AI agent
- Defining agent roles, memory, and tools
- Distinguishing between enterprise and 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 enhanced code understanding
- Best practices for engineering assistants
Le Chat Enterprise Integration
- Deploying Le Chat for enterprise agents
- RBAC, SSO, and compliance integration
- Connecting enterprise applications and data stores
End-to-End Agent Workflows
- Combining Mistral Medium 3, Devstral, and Le Chat
- Constructing multi-tool workflows (connectors, APIs, data sources)
- Grounding and RAG patterns
Deployment and Governance
- Self-hosting versus API deployment options
- Monitoring, logging, and observability
- Considerations for cost, performance, and compliance
Summary and Next Steps
Requirements
- A solid 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
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 2600 € + VAT*
Contact us for an exact quote and to hear our latest promotions
(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)
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