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Duration 14 hours
Course Outline
Introduction to Mistral Medium 3
- Model architecture and core capabilities
- Benchmarking against other Mistral models
- Primary enterprise use cases
Deployment Strategies
- API-driven deployment methods
- Self-hosting via Docker and Kubernetes
- Hybrid and multi-cloud architectural considerations
Performance Optimization
- Techniques for batching and parallel processing
- Model quantization and acceleration strategies
- Balancing cost against performance
Multimodal Applications
- Combining text and image processing workflows
- OCR and document intelligence integration
- Cross-modal enterprise processes
Security and Compliance
- Data residency and privacy safeguards
- Role-based access control and permissions
- Ensuring auditability and governance
Monitoring and Observability
- Performance tracking and drift detection
- Establishing logging and metrics pipelines
- Alerting mechanisms and troubleshooting procedures
Scaling for Enterprise
- Horizontal and vertical scaling patterns
- Load balancing and system redundancy
- Disaster recovery planning
Summary and Next Steps
Requirements
- Proficiency in Python or a comparable programming language.
- Practical experience with machine learning model deployment.
- Familiarity with cloud or containerized infrastructure.
Target Audience
- AI/ML Engineers
- Platform Architects
- MLOps Teams