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)
- Strategic positioning within the agentic AI landscape
- Core features and unique differentiators
Principles of Agent Design
- Defining the characteristics of an AI agent
- Establishing agent roles, memory structures, and toolkits
- Distinguishing between enterprise-focused and developer-centric agents
Practical Application with Mistral Medium 3
- Model configuration and setup procedures
- Tuning and optimizing inference processes
- Handling multimodal and coding-specific workflows
Development with Devstral
- Code-first approaches to agent design
- Leveraging Devstral for enhanced code comprehension
- Best practices for engineering assistants
Integration with Le Chat Enterprise
- Deploying Le Chat for enterprise-level agents
- Implementing RBAC, SSO, and compliance frameworks
- Linking enterprise applications and data repositories
Comprehensive Agent Workflows
- Synthesizing Mistral Medium 3, Devstral, and Le Chat capabilities
- Constructing multi-tool workflows involving connectors, APIs, and diverse data sources
- Applying grounding techniques and RAG patterns
Deployment Strategies and Governance
- Comparing self-hosted versus API-based deployment models
- Establishing monitoring, logging, and observability standards
- Addressing cost, performance, and compliance factors
Conclusion and Future Directions
Requirements
- Proficiency in Python programming
- Practical experience with machine learning workflows
- Knowledge of APIs and model integration practices
Target Audience
- AI engineers
- Solution architects
- Applied ML teams
- Product developers
