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Course Outline
Fundamentals of Containerization in AI & ML
- Foundational principles of container technology
- The suitability of containers for ML workloads
- Distinctions between containers and virtual machines
Managing Docker Images and Containers
- Insights into images, layers, and registries
- Container management strategies for ML experimentation
- Efficient utilization of the Docker CLI
Preparing ML Environments for Containers
- Readying ML codebases for containerization
- Oversight of Python environments and library dependencies
- Incorporation of CUDA and GPU acceleration
Crafting Dockerfiles for Machine Learning
- Architecting Dockerfiles suited for ML projects
- Adhering to best practices for performance and code maintainability
- Implementation of multi-stage build processes
Encapsulating ML Models and Pipelines
- Integrating trained models into containerized structures
- Strategies for managing data and storage
- Establishing reproducible end-to-end workflows
Operating Containerized ML Services
- Creating API endpoints for model inference
- Service scaling via Docker Compose
- Observability of runtime behavior
Security and Regulatory Compliance
- Configuring secure container settings
- Administration of access controls and credentials
- Protection of sensitive ML assets
Production Deployment Strategies
- Distribution of images through container registries
- Implementation of containers in on-premise or cloud infrastructure
- Version control and updates for production services
Conclusion and Future Pathways
Requirements
- Knowledge of machine learning workflows
- Proficiency in Python or comparable programming languages
- Basic familiarity with Linux command-line interfaces
Target Audience
- ML engineers focused on model deployment
- Data scientists requiring reproducible experimental setups
- AI developers constructing scalable, container-based applications
14 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
