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Duration 14 hours
Course Outline
Overview of Mistral Medium 3
- Architectural design and core capabilities
- Benchmarking against other Mistral model variants
- Primary enterprise use cases
Deployment Methodologies
- API-centric integration strategies
- Self-hosting using Docker and Kubernetes
- Navigating hybrid and multi-cloud environments
Performance Tuning
- Techniques for batching and parallel processing
- Model quantization and speed optimization
- Balancing cost against performance requirements
Multimodal Implementations
- Combining text and image processing pipelines
- OCR and document intelligence applications
- Creating cross-modal enterprise workflows
Security & Compliance Frameworks
- Data residency and privacy regulations
- Role-based access control and permissions
- Audit trails and governance policies
Monitoring & Observability
- Tracking performance metrics and model drift
- Establishing logging and metrics pipelines
- Alerting systems and diagnostic troubleshooting
Enterprise Scaling
- Horizontal and vertical scaling architectures
- Load balancing and high-availability setups
- Disaster recovery and continuity planning
Wrap-up & Future Pathways
Requirements
- Solid proficiency in Python or comparable programming languages
- Practical experience in deploying machine learning models
- Familiarity with cloud-based or containerized infrastructure
Target Audience
- AI/ML Engineers
- Platform Architects
- MLOps Professionals