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Course Outline
Foundations of Containerization for MLOps
- Understanding ML lifecycle requirements.
- Essential Docker concepts for ML systems.
- Best practices for establishing reproducible environments.
Constructing Containerized ML Training Pipelines
- Packaging model training code alongside dependencies.
- Configuring training jobs via Docker images.
- Managing datasets and artifacts within containers.
Containerizing Validation and Model Evaluation
- Recreating consistent evaluation environments.
- Automating validation workflows.
- Collecting metrics and logs from containers.
Containerized Inference and Serving
- Architecting inference microservices.
- Optimizing runtime containers for production use.
- Implementing scalable serving architectures.
Orchestrating Pipelines with Docker Compose
- Coordinating multi-container ML workflows.
- Managing environment isolation and configuration.
- Integrating supporting 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 or similar solutions.
Deploying and Scaling ML Workloads
- Executing pipelines in distributed environments.
- Scaling microservices through Docker-native methods.
- Monitoring containerized ML systems.
Implementing CI/CD for MLOps with Docker
- Automating the build and deployment of ML components.
- Testing pipelines within containerized staging environments.
- Guaranteeing reproducibility and facilitating rollbacks.
Summary and Next Steps
Requirements
- Knowledge of machine learning workflows.
- Experience with Python for data or model development.
- Familiarity with container fundamentals.
Target Audience
- MLOps engineers.
- DevOps practitioners.
- Data platform teams.
21 Hours
Testimonials (3)
How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
the trainer had a lot of knowledge and patience to share with us
Bogdan Olaru
Course - Introduction to Docker
The knowledge and exchanges with Augustin
