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 Продължителност 14 часa

Съдържание и теми, включени в курса

Introduction to Mistral Medium 3

  • Exploring model architecture and core capabilities
  • Benchmarking against other Mistral models
  • Identifying key enterprise applications

Deployment Strategies

  • Implementing API-based deployment workflows
  • Self-hosting using Docker and Kubernetes
  • Evaluating hybrid and multi-cloud deployment options

Performance Optimization

  • Utilizing batching and parallelization techniques
  • Applying model quantization and acceleration methods
  • Balancing cost versus performance tradeoffs

Multimodal Applications

  • Integrating text and image processing pipelines
  • Leveraging OCR and document intelligence features
  • Designing cross-modal enterprise workflows

Security and Compliance

  • Addressing data residency and privacy requirements
  • Configuring role-based access and permissions
  • Ensuring auditability and governance compliance

Monitoring and Observability

  • Tracking system performance and model drift
  • Establishing logging and metrics pipelines
  • Setting up alerting systems and troubleshooting protocols

Scaling for Enterprise

  • Implementing horizontal and vertical scaling patterns
  • Configuring load balancing and redundancy
  • Developing disaster recovery strategies

Summary and Next Steps

Изисквания

  • Strong proficiency in Python or a comparable programming language
  • Practical experience in deploying machine learning models
  • Solid understanding of cloud infrastructure or containerized environments

Target Audience

  • AI/ML Engineers
  • Platform Architects
  • MLOps Teams

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