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
Foundations of the Mistral AI Ecosystem
- Introduction to Mistral models (Medium 3, Le Chat Enterprise, Devstral)
- Role within the agentic AI landscape
- Core features and unique value propositions
Principles of Agent Design
- Defining the components of an AI agent
- Specifying agent roles, memory structures, and toolsets
- Distinguishing between enterprise-oriented and developer-centric agents
Practical Application of Mistral Medium 3
- Configuring and setting up the model
- Refining inference and optimization techniques
- Managing multimodal and coding processes
Development with Devstral
- Code-first agent architecture
- Utilizing Devstral for code analysis and comprehension
- Best practices for engineering assistants
Integrating Le Chat Enterprise
- Implementing Le Chat for enterprise-grade agents
- Incorporating RBAC, SSO, and compliance frameworks
- Linking enterprise applications and data repositories
Comprehensive Agent Workflows
- Synergizing Mistral Medium 3, Devstral, and Le Chat
- Creating multi-tool workflows involving connectors, APIs, and data sources
- Implementing grounding and RAG methodologies
Deployment and Oversight
- Comparing self-hosting with API-based deployment
- Establishing monitoring, logging, and observability standards
- Addressing cost, performance, and compliance requirements
Conclusions and Future Directions
Requirements
- Proficiency in Python programming
- Practical experience with machine learning pipelines
- Working knowledge of APIs and model integration
Target Audience
- AI Engineers
- Solution Architects
- Applied ML Teams
- Product Developers
