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 Duration 14 hours

Course Outline

Overview of Mistral Medium 3

  • Exploring model architecture and core capabilities
  • Benchmarking against other models in the Mistral series
  • Identifying primary enterprise use cases

Deployment Methodologies

  • Integration via API services
  • Self-hosting strategies using Docker and Kubernetes
  • Considerations for hybrid and multi-cloud architectures

Optimizing Performance

  • Techniques for batching and parallel processing
  • Applying model quantization and acceleration methods
  • Balancing cost efficiency with performance

Implementing Multimodal Features

  • Combining text and image processing workflows
  • Utilizing OCR and document intelligence
  • Designing cross-modal enterprise processes

Security and Regulatory Compliance

  • Addressing data residency and privacy requirements
  • Configuring role-based access controls
  • Ensuring audit trails and governance

Monitoring and System Observability

  • Making sense of performance metrics and model drift
  • Building logging and metric collection pipelines
  • Setting up alerts and troubleshooting protocols

Enterprise Scale Operations

  • Patterns for horizontal and vertical scaling
  • Implementing load balancing and system redundancy
  • Formulating disaster recovery plans

Wrap-up and Future Directions

Requirements

  • Strong proficiency in Python or comparable programming languages
  • Prior experience deploying machine learning models
  • Familiarity with cloud computing or containerized environments

Target Audience

  • AI/ML Engineers
  • Platform Architects
  • MLOps Specialists

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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