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 Duration 14 hours

Course Outline

Introduction to Kubeflow

  • Grasping the Kubeflow mission and architectural design
  • Overview of core components and the broader ecosystem
  • Exploring deployment options and platform capabilities

Interacting with the Kubeflow Dashboard

  • Navigating the user interface
  • Administration of notebooks and workspaces
  • Integration of storage solutions and data sources

Foundations of Kubeflow Pipelines

  • Pipeline architecture and component design
  • Creating pipelines using the Python SDK
  • Running, scheduling, and overseeing pipeline executions

Training ML Models on Kubeflow

  • Distributed training methodologies
  • Utilising TFJob, PyTorchJob, and other relevant operators
  • Resource management and autoscaling within Kubernetes

Model Serving with Kubeflow

  • Insight into KFServing / KServe
  • Model deployment using custom runtimes
  • Oversight of revisions, scaling, and traffic routing

Overseeing ML Workflows on Kubernetes

  • Version control for data, models, and artefacts
  • Integration of CI/CD pipelines for ML workflows
  • Security protocols and role-based access control

Best Practices for Production ML

  • Architecting reliable workflow patterns
  • Observability and monitoring strategies
  • Diagnosing frequent Kubeflow challenges

Advanced Topics (Optional)

  • Multi-tenant Kubeflow configurations
  • Hybrid and multi-cluster deployment architectures
  • Enhancing Kubeflow through custom components

Recap and Future Directions

Requirements

  • A foundational grasp of containerised applications
  • Proficiency with basic command-line operations
  • Acquaintance with core Kubernetes concepts

Target Audience

  • ML practitioners
  • Data scientists
  • DevOps teams new to the Kubeflow environment

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.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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