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Duration 14 hours
Course Outline
Introduction to Mistral Medium 3
- Overview of model architecture and capabilities
- Comparative analysis with other Mistral models
- Key applications within enterprise settings
Deployment Strategies
- Deploying via API services
- Self-hosting solutions using Docker and Kubernetes
- Considerations for hybrid and multi-cloud architectures
Performance Optimization
- Techniques for batching and parallelization
- Model quantization and acceleration methods
- Balancing cost against performance metrics
Multimodal Applications
- Integration of text and image processing workflows
- Applications in OCR and document intelligence
- Designing cross-modal enterprise processes
Security and Compliance
- Data residency requirements and privacy implications
- Managing role-based access and permissions
- Ensuring auditability and governance standards
Monitoring and Observability
- Monitoring system performance and data drift
- Establishing logging and metrics pipelines
- Setting up alerting systems and troubleshooting procedures
Scaling for Enterprise
- Horizontal and vertical scaling patterns
- Implementing load balancing and redundancy
- Strategies for disaster recovery
Summary and Next Steps
Requirements
- Proficiency in Python or a comparable programming language
- Practical experience in deploying machine learning models
- A solid understanding of cloud infrastructure or containerized environments
Target Audience
- AI/ML engineers
- Platform architects
- MLOps teams
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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