Course Outline
Introduction to Kubeflow
- Understanding the Kubeflow mission and architecture
- Core components and ecosystem overview
- Deployment options and platform capabilities
Working with the Kubeflow Dashboard
- User interface navigation
- Managing notebooks and workspaces
- Integrating storage and data sources
Kubeflow Pipelines Fundamentals
- Pipeline structure and component design
- Authoring pipelines with Python SDK
- Executing, scheduling, and monitoring pipeline runs
Training ML Models on Kubeflow
- Distributed training patterns
- Using TFJob, PyTorchJob, and other operators
- Resource management and autoscaling in Kubernetes
Model Serving with Kubeflow
- Overview of KFServing / KServe
- Deploying models with custom runtimes
- Managing 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 reliable workflow patterns
- Observability and monitoring
- Troubleshooting common Kubeflow issues
Advanced Topics (Optional)
- Multi-tenant Kubeflow environments
- Hybrid and multi-cluster deployment scenarios
- Extending Kubeflow with custom components
Summary and Next Steps
Requirements
- An understanding of containerized applications
- Experience with basic command-line workflows
- Familiarity with Kubernetes concepts
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
Encouraging and openness to expanding the discussion on topics related to the training scope but with the specific context of our company
Michal Koscinski - Volkswagen Poznan Sp. z o.o.
Course - Docker, Kubernetes and OpenShift 3 for Administrators
Machine Translated
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