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Duration 14 hours
Course Outline
Introduction to Kubeflow
- Comprehending the Kubeflow mission and architecture
- Overview of core components and the ecosystem
- Deployment options and platform features
Utilizing the Kubeflow Dashboard
- Navigating the user interface
- Managing notebooks and workspaces
- Connecting storage and data sources
Kubeflow Pipelines Basics
- Pipeline architecture and component design
- Creating pipelines using the Python SDK
- Running, scheduling, and monitoring pipeline executions
Training ML Models on Kubeflow
- Distributed training methodologies
- Utilizing TFJob, PyTorchJob, and other operators
- Resource management and autoscaling within Kubernetes
Model Serving via Kubeflow
- Introduction to KFServing / KServe
- Deploying models using custom runtimes
- Handling revisions, scaling, and traffic routing
Managing ML Workflows on Kubernetes
- Versioning data, models, and artifacts
- Integrating CI/CD for ML pipelines
- Security and role-based access control
Best Practices for Production ML
- Designing dependable workflow patterns
- Observability and monitoring
- Resolving common Kubeflow issues
Advanced Topics (Optional)
- Multi-tenant Kubeflow environments
- Hybrid and multi-cluster deployment cases
- Extending Kubeflow with custom components
Conclusion and Next Steps
Requirements
- A foundational grasp of containerized applications
- Experience with basic command-line interfaces
- Knowledge of Kubernetes concepts
Target Audience
- ML practitioners
- Data scientists
- DevOps teams new to Kubeflow
Testimonials (4)
basic understanding of container/kubernetes and how they interact features of the openshift plattform
Eric Scholze - NOW IT GmbH
Course - Introduction to Containers, Kubernetes & OpenShift
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
The knowledge and the patience from the trainer to answer to our questions.