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Course Outline
Foundations of Containerization in MLOps
- Understanding the requirements of the ML lifecycle
- Essential Docker concepts for ML systems
- Best practices for establishing reproducible environments
Constructing Containerized ML Training Pipelines
- Packaging model training code along with its dependencies
- Setting up training jobs via Docker images
- Handling datasets and artifacts within containers
Containerizing Validation and Model Assessment
- Recreating consistent evaluation environments
- Automating validation workflows
- Capturing metrics and logs from containerized processes
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 auxiliary services such as tracking and storage
ML Model Versioning and Lifecycle Management
- Tracking models, images, and various pipeline components
- Maintaining version-controlled container environments
- Incorporating tools like MLflow or similar alternatives
Deploying and Scaling ML Workloads
- Executing pipelines within distributed environments
- Scaling microservices using Docker-native strategies
- 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
- Ensuring reproducibility and managing rollbacks
Summary and Next Steps
Requirements
- A solid understanding of machine learning workflows
- Proficiency in Python for data or model development
- Basic 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
