Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to the Mistral AI Ecosystem
- Overview of Mistral models (Medium 3, Le Chat Enterprise, Devstral)
- Positioning within the agentic AI landscape
- Core features and competitive differentiators
Principles of Agent Design
- Defining the components of an AI agent
- Establishing agent roles, memory structures, and toolsets
- Distinguishing between enterprise and developer-centric agents
Hands-On Work with Mistral Medium 3
- Model setup and configuration processes
- Inference tuning and performance optimization
- Multimodal and coding workflow integration
Building Agents with Devstral
- Code-first agent design strategies
- Integrating Devstral for enhanced code understanding
- Best practices for engineering assistant capabilities
Le Chat Enterprise Integration
- Deploying Le Chat for enterprise-level agents
- Implementing RBAC, SSO, and compliance controls
- Connecting enterprise applications and data stores
End-to-End Agent Workflows
- Synergizing 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 models
- Establishing monitoring, logging, and observability frameworks
- Addressing cost, performance, and compliance considerations
Summary and Next Steps
Requirements
- A solid understanding of Python programming
- Practical experience with machine learning workflows
- Familiarity with APIs and model integration
Target Audience
- AI engineers
- Solution architects
- Applied ML teams
- Product developers
