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Course Outline
Introduction to the Mistral AI Ecosystem
- Survey of Mistral models, including Medium 3, Le Chat Enterprise, and Devstral.
- Strategic positioning within the agentic AI landscape.
- Core features and unique differentiators.
Foundations of Agent Design
- Defining the characteristics of an AI agent.
- Specifying agent roles, memory structures, and toolsets.
- Distinguishing between enterprise-focused and developer-centric agents.
Practical Application of Mistral Medium 3
- Initial model setup and configuration processes.
- Strategies for inference tuning and optimization.
- Implementing multimodal and coding-centric workflows.
Developing with Devstral
- Principles of code-first agent design.
- Leveraging Devstral for advanced code comprehension.
- Best practices for engineering assistant integration.
Integrating Le Chat Enterprise
- Deployment strategies for enterprise-level agents.
- Incorporating 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 workflows using connectors, APIs, and diverse data sources.
- Applying grounding and RAG (Retrieval-Augmented Generation) patterns.
Deployment Strategies and Governance
- Comparing self-hosting options with API-based deployment.
- Establishing monitoring, logging, and observability frameworks.
- Navigating considerations related to cost, performance, and compliance.
Wrap-Up and Future Directions
Requirements
- A solid grasp of Python programming fundamentals.
- Practical experience with machine learning workflows.
- Proficiency in API interactions and model integration.
Target Audience
- AI Engineers.
- Solution Architects.
- Applied Machine Learning Teams.
- Product Developers.
14 Hours