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.
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 key differentiators
Principles of Agent Design
- Defining what constitutes an AI agent
- Establishing agent roles, memory, and tool usage
- Distinguishing between enterprise and developer-centric agents
Practical Work with Mistral Medium 3
- Model setup and configuration
- Tuning and optimizing inference
- Multimodal and coding workflows
Developing with Devstral
- Code-first agent design strategies
- Utilizing Devstral for code comprehension
- Best practices for engineering assistants
Integrating Le Chat Enterprise
- Deploying Le Chat for enterprise-level agents
- Integrating RBAC, SSO, and compliance features
- Linking enterprise applications and data stores
End-to-End Agent Workflows
- Synthesizing Mistral Medium 3, Devstral, and Le Chat
- Constructing multi-tool workflows (connectors, APIs, data sources)
- Grounding and RAG patterns
Deployment and Governance
- Comparing self-hosting versus API deployment
- Monitoring, logging, and observability
- Considerations for cost, performance, and compliance
Summary and Next Steps
Requirements
- Proficiency in Python programming
- Practical experience with machine learning workflows
- Knowledge of APIs and model integration
Target Audience
- AI Engineers
- Solution Architects
- Applied ML Teams
- Product Developers
14 Hours
