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Duration 21 hours
Course Outline
Foundations of Containerization for MLOps
- Assessing ML lifecycle requirements
- Core Docker concepts applied to ML systems
- Best practices for ensuring reproducible environments
Creating Containerised ML Training Pipelines
- Packaging model training code alongside necessary dependencies
- Setting up training jobs via Docker images
- Handling datasets and artefacts within containers
Containerising Validation and Model Evaluation
- Recreating consistent evaluation environments
- Automating validation processes
- Capturing metrics and logs from containers
Containerised Inference and Serving
- Designing inference microservices
- Optimising runtime containers for production use
- Implementing scalable serving architectures
Pipeline Orchestration with Docker Compose
- Coordinating multi-container ML workflows
- Managing environment isolation and configuration
- Integrating auxiliary services (such as tracking and storage)
ML Model Versioning and Lifecycle Management
- Tracking models, images, and pipeline components
- Maintaining version-controlled container environments
- Integrating tools like MLflow
Deploying and Scaling ML Workloads
- Executing pipelines across distributed environments
- Scaling microservices through Docker-native methods
- Monitoring containerized ML systems
CI/CD for MLOps with Docker
- Automating the build and deployment of ML components
- Testing pipelines in containerized staging environments
- Guaranteeing reproducibility and rollback capabilities
Wrap-up and Future Steps
Requirements
- Grasping of machine learning workflows
- Proficiency in Python for data analysis or model development
- Working knowledge of container fundamentals
Target Audience
- MLOps engineers
- DevOps specialists
- 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.
