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Course Outline
Containerization Foundations for MLOps
- Analyzing the specific requirements of the ML lifecycle
- Exploring essential Docker concepts relevant to ML systems
- Adopting best practices for creating reproducible environments
Constructing Containerized ML Training Pipelines
- Packaging model training code alongside its necessary dependencies
- Configuring training jobs through optimized Docker images
- Managing datasets and artifacts effectively within containers
Containerizing Validation and Model Evaluation
- Recreating consistent evaluation environments
- Automating validation workflows for efficiency
- Collecting metrics and logs from containerized processes
Containerized Inference and Serving
- Architecting efficient inference microservices
- Optimizing runtime containers for production stability
- Implementing scalable serving architectures
Orchestrating Pipelines with Docker Compose
- Coordinating complex multi-container ML workflows
- Managing environment isolation and configuration control
- Integrating auxiliary services such as tracking and storage
ML Model Versioning and Lifecycle Management
- Tracking models, images, and individual pipeline components
- Maintaining version-controlled container environments
- Integrating tools like MLflow or similar solutions
Deployment and Scaling of ML Workloads
- Executing pipelines in distributed computing environments
- Scaling microservices using native Docker capabilities
- Monitoring the health of containerized ML systems
CI/CD for MLOps with Docker
- Automating the build and deployment cycles for ML components
- Testing pipelines within containerized staging environments
- Guaranteeing reproducibility and facilitating rollbacks
Summary and Future Directions
Requirements
- A solid grasp of machine learning workflows
- Practical experience with Python for data analysis or model development
- Basic familiarity with containerization 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
