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Course Outline
Containerization Fundamentals for MLOps
- Assessing the unique requirements of the ML lifecycle
- Essential Docker concepts applicable to ML systems
- Best practices for ensuring reproducible environments
Constructing Containerized ML Training Pipelines
- Bundling model training code and associated dependencies
- Configuring training jobs via Docker images
- Handling datasets and artifacts within containerized contexts
Containerizing Validation and Model Assessment
- Recreating consistent evaluation environments
- Streamlining validation workflows through automation
- Collecting metrics and logs from running containers
Containerized Inference and Serving
- Architecting efficient inference microservices
- Tuning runtime containers for production readiness
- Implementing scalable serving architectures
Orchestrating Pipelines with Docker Compose
- Managing complex, multi-container ML workflows
- Ensuring environment isolation and streamlined configuration management
- Integrating auxiliary services such as tracking and storage
ML Model Versioning and Lifecycle Oversight
- Monitoring models, images, and pipeline constituents
- Maintaining version-controlled container environments
- Integrating tools like MLflow or equivalent platforms
Deployment and Scaling of ML Workloads
- Executing pipelines across distributed environments
- Scaling microservices using native Docker capabilities
- Observing and monitoring containerized ML systems
Implementing CI/CD for MLOps with Docker
- Automating the build and deployment of ML components
- Validating pipelines in containerized staging environments
- Safeguarding reproducibility and facilitating rollbacks
Conclusion and Future Directions
Requirements
- A solid grasp of machine learning workflows
- Proficiency in Python for data handling or model development
- Basic knowledge of containerization concepts
Target Audience
- MLOps engineers
- DevOps specialists
- 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
