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Course Outline
Introduction to Mistral Medium 3
- Understanding model architecture and capabilities.
- Comparative analysis with other Mistral models.
- Key enterprise application scenarios.
Deployment Strategies
- API-based deployment methods.
- Self-hosting using Docker and Kubernetes.
- Considerations for hybrid and multi-cloud architectures.
Performance Optimization
- Techniques for batching and parallelization.
- Model quantization and acceleration strategies.
- Balancing cost against performance.
Multimodal Applications
- Integrating text and image processing capabilities.
- Implementing OCR and document intelligence solutions.
- Developing cross-modal enterprise workflows.
Security and Compliance
- Addressing data residency and privacy requirements.
- Managing role-based access and permissions.
- Ensuring auditability and governance standards.
Monitoring and Observability
- Tracking performance metrics and model drift.
- Establishing logging and metrics pipelines.
- Configuring alerting and troubleshooting procedures.
Scaling for Enterprise
- Implementing horizontal and vertical scaling patterns.
- Managing load balancing and redundancy.
- Developing disaster recovery strategies.
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 environments.
Target Audience
- AI/ML engineers.
- Platform architects.
- MLOps teams.
14 Hours
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 2600 € + VAT*
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