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
- Analyzing ML lifecycle requirements
- Core Docker concepts applicable to ML systems
- Best practices for establishing reproducible environments
Constructing Containerized ML Training Pipelines
- Packaging model training code alongside its dependencies
- Configuring training jobs via Docker images
- Managing datasets and artifacts within containers
Containerizing Validation and Model Evaluation
- Replicating evaluation environments
- Automating validation processes
- Capturing metrics and logs from container instances
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
- Isolating environments and managing configuration
- Integrating auxiliary services (e.g., tracking, storage)
ML Model Versioning and Lifecycle Management
- Tracking models, images, and pipeline elements
- Maintaining version-controlled container environments
- Integrating MLflow or equivalent tools
Deploying and Scaling ML Workloads
- Executing pipelines in distributed settings
- Scaling microservices using native Docker methods
- Monitoring containerized ML systems
CI/CD for MLOps using Docker
- Automating the build and deployment of ML components
- Testing pipelines in containerized staging environments
- Safeguarding reproducibility and enabling rollbacks
Wrap-Up and Future Directions
Requirements
- Proficiency in machine learning workflows
- Practical experience with Python for data or model development
- Familiarity with container fundamentals
Audience
- MLOps engineers
- DevOps practitioners
- Data platform teams
21 Hours
Testimonials (3)
multi-tiered, structured course programme.
Bert Paelinckx - Cube SoftwareSolutions
Course - Introduction to Docker
How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
The knowledge and exchanges with Augustin