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
Intro to the Mistral AI Ecosystem
- Overview of Mistral models (Medium 3, Le Chat Enterprise, Devstral)
- Role in the agentic AI landscape
- Distinctive features and competitive advantages
Foundations of Agent Design
- Defining the core components of an AI agent
- Establishing agent roles, memory structures, and toolsets
- Distinguishing enterprise-focused agents from developer-centric ones
Practical Work with Mistral Medium 3
- Model initialization and setup
- Inference adjustment and performance tuning
- Handling multimodal and coding-specific workflows
Development with Devstral
- Code-first approaches to agent architecture
- Leveraging Devstral for deep code comprehension
- Best practices for engineering assistants
Integrating Le Chat Enterprise
- Deploying Le Chat to power enterprise agents
- Implementing RBAC, SSO, and compliance standards
- Linking enterprise applications and data repositories
Comprehensive Agent Workflows
- Synergizing Mistral Medium 3, Devstral, and Le Chat
- Constructing multi-tool pipelines involving connectors, APIs, and data sources
- Employing grounding techniques and RAG patterns
Deployment Strategies and Governance
- Comparing self-hosted solutions versus API-based deployment
- Implementing monitoring, logging, and observability practices
- Evaluating cost, performance, and compliance factors
Recap and Future Directions
Requirements
- Foundational knowledge of Python programming
- Practical experience with machine learning pipelines
- Working familiarity with APIs and model integration
Target Learners
- AI engineers
- Solution architects
- Applied ML teams
- Product developers
14 Hours
