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
- Introduction to Mistral models (Medium 3, Le Chat Enterprise, Devstral)
- Role in the agentic AI landscape
- Core features and unique value propositions
Principles of Agent Design
- Defining the components of an AI agent
- Establishing agent roles, memory structures, and toolsets
- Distinguishing between enterprise-focused and developer-focused agents
Practical Application with Mistral Medium 3
- Model configuration and setup
- Refining inference and performance optimization
- Handling multimodal and coding tasks
Development with Devstral
- Designing code-centric agents
- Leveraging Devstral for code comprehension
- Best practices for engineering assistants
Integration with Le Chat Enterprise
- Deploying Le Chat for enterprise-level agents
- Implementing RBAC, SSO, and compliance standards
- Linking enterprise applications and data repositories
Comprehensive Agent Workflows
- Orchestrating Mistral Medium 3, Devstral, and Le Chat
- Creating multi-tool workflows using connectors, APIs, and data sources
- Implementing grounding and RAG strategies
Deployment and Governance
- Comparing self-hosted vs. API-based deployment
- Monitoring, logging, and observability practices
- Addressing cost, performance, and compliance requirements
Recap and Future Directions
Requirements
- Proficiency in Python programming
- Practical experience with machine learning pipelines
- Knowledge of APIs and model integration techniques
Target Audience
- AI Engineers
- Solution Architects
- Applied ML Teams
- Product Developers
