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
Core Principles of Containerization in MLOps
- Analyzing ML lifecycle requirements
- Essential Docker concepts for ML systems
- Best practices for creating reproducible environments
Constructing Containerized ML Training Pipelines
- Encapsulating model training code and dependencies
- Setting up training jobs via Docker images
- Handling datasets and artifacts within containers
Containerizing Validation and Model Evaluation
- Replicating evaluation environments
- Automating validation processes
- Collecting metrics and logs from containers
Containerized Inference and Serving
- Architecting inference microservices
- Optimizing runtime containers for production use
- Building scalable serving architectures
Orchestrating Pipelines 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 Oversight
- Monitoring models, images, and pipeline elements
- Maintaining version-controlled container environments
- Incorporating MLflow or equivalent tools
Deployment and Scaling of ML Workloads
- Executing pipelines in distributed settings
- Scaling microservices through Docker-native methods
- Monitoring containerized ML systems
Implementing CI/CD for MLOps with Docker
- Streamlining the build and deployment of ML components
- Testing pipelines within containerized staging environments
- Safeguarding reproducibility and rollback capabilities
Conclusion and Future Directions
Requirements
- A solid grasp of machine learning workflows
- Proficiency in Python for data or model development
- A foundational understanding of container technology
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
