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 Duration 14 hours

Course Outline

Introduction to Mistral Medium 3

  • Model architecture and functional capabilities
  • Benchmarking against other Mistral models
  • Primary use cases in enterprise settings

Deployment Strategies

  • API-centric deployment methods
  • Self-hosting solutions using Docker and Kubernetes
  • Hybrid and multi-cloud architectural considerations

Performance Optimization

  • Batch processing and parallel execution techniques
  • Model quantization and inference acceleration
  • Balancing cost efficiency with performance

Multimodal Applications

  • Fusion of text and image processing workflows
  • OCR and advanced document intelligence
  • Enterprise workflows spanning multiple modalities

Security and Compliance

  • Data sovereignty and privacy frameworks
  • Role-based access control and permission management
  • Ensuring audit trails and governance

Monitoring and Observability

  • Monitoring model performance and detecting drift
  • Building logging and metric pipelines
  • Alerting mechanisms and troubleshooting procedures

Scaling for Enterprise

  • Horizontal and vertical scaling architectures
  • Load balancing and redundancy planning
  • Disaster recovery and resilience strategies

Summary and Next Steps

Requirements

  • Proficiency in Python or a comparable programming language
  • Practical experience in deploying machine learning models
  • Familiarity with cloud-based or containerized infrastructure

Target Audience

  • AI/ML Engineers
  • Platform Architects
  • MLOps Teams

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