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Duration 21 hours
Course Outline
Foundations of Containerization for MLOps
- Examining the requirements of the ML lifecycle
- Essential Docker concepts for ML architectures
- Best practices for ensuring environment reproducibility
Creating Containerized ML Training Pipelines
- Bundling model training code and dependencies
- Setting up training jobs via Docker images
- Handling datasets and artifacts within containers
Containerizing Validation and Model Assessment
- Duplicating evaluation environments
- Streamlining validation processes
- Recording metrics and logs from container instances
Containerized Inference and Serving
- Architecting inference microservices
- Refining runtime containers for production use
- Building scalable serving frameworks
Orchestrating Pipelines with Docker Compose
- Managing multi-container ML workflows
- Isolating environments and managing configurations
- Incorporating auxiliary services (e.g., tracking, storage)
Versioning and Lifecycle Management for ML Models
- Monitoring models, images, and pipeline parts
- Maintaining version-controlled container setups
- Integrating tools like MLflow or similar platforms
Deployment and Scaling of ML Workloads
- Executing pipelines in distributed settings
- Scaling microservices through Docker-native methods
- Monitoring containerized ML ecosystems
CI/CD for MLOps using Docker
- Automating the build and release of ML components
- Testing pipelines within containerized staging areas
- Guaranteeing reproducibility and rollback capabilities
Recap and Future Directions
Requirements
- A solid grasp of machine learning workflows
- Proficiency in Python for data analysis or model development
- Familiarity with core containerization concepts
Target Audience
- MLOps engineers
- DevOps practitioners
- Data platform teams
Testimonials (2)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes
multi-tiered, structured course programme.
