Plan du cours

Introduction to Mistral Medium 3

  • Model architecture and capabilities
  • Comparison with other Mistral models
  • Key enterprise applications

Deployment Strategies

  • API-based deployment
  • Self-hosting with Docker and Kubernetes
  • Hybrid and multi-cloud considerations

Performance Optimization

  • Batching and parallelization techniques
  • Model quantization and acceleration
  • Cost-performance tradeoffs

Multimodal Applications

  • Integrating text and image processing
  • OCR and document intelligence
  • Cross-modal enterprise workflows

Security and Compliance

  • Data residency and privacy considerations
  • Role-based access and permissions
  • Auditability and governance

Monitoring and Observability

  • Tracking performance and drift
  • Logging and metrics pipelines
  • Alerting and troubleshooting

Scaling for Enterprise

  • Horizontal and vertical scaling patterns
  • Load balancing and redundancy
  • Disaster recovery strategies

Summary and Next Steps

Pré requis

  • Proficiency in Python or similar programming language
  • Experience with machine learning model deployment
  • Understanding of cloud or containerized environments

Audience

  • AI/ML engineers
  • Platform architects
  • MLOps teams
 14 Heures

Nombre de participants


Prix ​​par Participant

Les formations ouvertes requièrent plus de 3 participants.

Cours à venir

Enterprise-Grade Deployments with Mistral Medium 3

2025-10-27 09:30
14 Heures
Rennes, City Center
2550 EUR (en ligne)
2950 EUR (Salle de Classe)

Enterprise-Grade Deployments with Mistral Medium 3

2025-11-10 09:30
14 Heures
Tours, Les Rives Public Garden
2550 EUR (en ligne)
2950 EUR (Salle de Classe)

Enterprise-Grade Deployments with Mistral Medium 3

2025-11-24 09:30
14 Heures
Limoges, City Center
2550 EUR (en ligne)
2950 EUR (Salle de Classe)

Enterprise-Grade Deployments with Mistral Medium 3

2025-12-08 09:30
14 Heures
Paris, Opera Bourse
2550 EUR (en ligne)
2950 EUR (Salle de Classe)

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