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
- Summary of Mistral models (Medium 3, Le Chat Enterprise, Devstral)
- Placement within the agentic AI landscape
- Core features and unique value propositions
Principles of Agent Design
- Defining the characteristics of an AI agent
- Establishing agent roles, memory mechanisms, and tool usage
- Distinguishing between enterprise and developer-focused agents
Practical Application with Mistral Medium 3
- Initial model setup and configuration
- Tuning inference processes and optimizing performance
- Managing multimodal and coding workflows
Development with Devstral
- Code-centric agent architecture
- Utilizing Devstral for enhanced code comprehension
- Best practices for engineering assistants
Integration with Le Chat Enterprise
- Implementing Le Chat for enterprise-level agents
- Incorporating RBAC, SSO, and compliance protocols
- Linking enterprise applications and data repositories
Comprehensive Agent Workflows
- Synergizing Mistral Medium 3, Devstral, and Le Chat
- Constructing multi-tool workflows involving connectors, APIs, and data sources
- Implementing grounding and RAG patterns
Deployment and Governance
- Choosing between self-hosted and API-based deployment
- Monitoring, logging, and ensuring observability
- Addressing cost, performance, and compliance factors
Recap and Future Directions
Requirements
- Proficiency in Python programming
- Hands-on experience with machine learning pipelines
- Knowledge of API structures and model integration
Target Audience
- AI engineers
- Solution architects
- Applied ML teams
- Product developers
