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Duration 14 hours
Course Outline
Introduction to Devstral and Mistral Models
- Overview of Mistral’s open-source model portfolio
- Implications of Apache-2.0 licensing for enterprise adoption
- The specific role of Devstral in coding and agentic workflows
Self-Hosting Mistral and Devstral Models
- Preparation of environments and selection of infrastructure
- Containerisation and deployment strategies using Docker and Kubernetes
- Scalability considerations for production-grade usage
Fine-Tuning Techniques
- Comparing supervised fine-tuning with parameter-efficient tuning
- Dataset preparation and data cleaning processes
- Examples of domain-specific customisation
Model Operations and Versioning
- Best practices for managing the model lifecycle
- Strategies for model versioning and rollback procedures
- Integrating CI/CD pipelines for ML models
Governance and Compliance
- Security considerations for open-source deployments
- Ensuring monitoring and auditability in enterprise contexts
- Aligning with compliance frameworks and responsible AI practices
Monitoring and Observability
- Tracking model drift and potential accuracy degradation
- Implementing instrumentation for inference performance
- Defining alerting and response workflows
Case Studies and Best Practices
- Industry use cases illustrating Mistral and Devstral adoption
- Balancing cost efficiency, performance, and control
- Key insights gained from open-source Model Operations
Conclusion and Future Steps
Requirements
- A solid grasp of machine learning workflows
- Proficiency with Python-based ML frameworks
- Knowledge of containerisation and deployment environments
Target 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 2600 € + VAT*
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