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Duration 14 hours
Course Outline
Introduction to Devstral and Mistral Models
- An overview of Mistral’s open-source model family
- Implications of Apache-2.0 licensing and enterprise adoption
- The role of Devstral in coding and agentic workflows
Self-Hosting Mistral and Devstral Models
- Preparing environments and selecting infrastructure options
- Containerization and deployment strategies using Docker and Kubernetes
- Key scaling considerations for production usage
Fine-Tuning Techniques
- Comparing supervised fine-tuning with parameter-efficient tuning
- Processes for dataset preparation and cleaning
- Examples of domain-specific customization
Model Ops and Versioning
- Best practices for managing the model lifecycle
- Strategies for model versioning and rollback
- Integrating CI/CD pipelines for ML models
Governance and Compliance
- Security aspects of open-source deployments
- Monitoring and ensuring auditability in enterprise contexts
- Applying compliance frameworks and responsible AI practices
Monitoring and Observability
- Tracking model drift and accuracy degradation
- Implementing instrumentation for inference performance
- Establishing alerting and response workflows
Case Studies and Best Practices
- Industry use cases illustrating the adoption of Mistral and Devstral
- Balancing cost, performance, and control
- Key lessons learned from open-source Model Ops
Summary and Next Steps
Requirements
- A solid grasp of machine learning workflows
- Practical experience with Python-based ML frameworks
- Knowledge of containerization and deployment environments
Audience
- ML engineers
- Data platform teams
- Research engineers
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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