Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Foundations of Containerization for MLOps
- Exploring the requirements of the ML lifecycle
- Essential Docker concepts for ML systems
- Best practices for creating reproducible environments
Building Containerized ML Training Pipelines
- Packaging model training code and dependencies
- Setting up training jobs using Docker images
- Handling datasets and artifacts within containers
Containerizing Validation and Model Evaluation
- Recreating consistent evaluation environments
- Automating validation processes
- Extracting metrics and logs from containers
Containerized Inference and Serving
- Architecting inference microservices
- Optimizing runtime containers for production use
- Establishing scalable serving architectures
Pipeline Orchestration with Docker Compose
- Coordinating multi-container ML workflows
- Managing environment isolation and configuration
- Integrating auxiliary services (e.g., tracking, storage)
ML Model Versioning and Lifecycle Management
- Tracking models, images, and pipeline elements
- Implementing version-controlled container environments
- Integrating tools such as MLflow
Deploying and Scaling ML Workloads
- Executing pipelines in distributed settings
- Scaling microservices via 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
Summary and Next Steps
Requirements
- A solid grasp of machine learning workflows
- Experience using 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
