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Duration 14 hours
Course Outline
Foundations of Containerization in AI & ML
- Fundamental principles of containerization
- The suitability of containers for ML workloads
- Principal distinctions between containers and virtual machines
Operations with Docker Images and Containers
- Comprehending images, layers, and container registries
- Overseeing containers for ML experimentation
- Efficient utilization of the Docker CLI
Encapsulating ML Environments
- Preparing ML codebases for container integration
- Handling Python environments and associated dependencies
- Incorporating CUDA and GPU support
Crafting Dockerfiles for Machine Learning
- Organizing Dockerfiles for ML projects
- Best practices for ensuring performance and maintainability
- Implementing multi-stage builds
Containerizing ML Models and Pipelines
- Packaging trained models into containers
- Managing data and storage methodologies
- Implementing reproducible end-to-end workflows
Executing Containerized ML Services
- Exposing API endpoints for model inference
- Scaling services using Docker Compose
- Monitoring runtime performance
Security and Compliance Considerations
- Safeguarding container configurations
- Administering access controls and credentials
- Managing confidential ML assets
Production Deployment Strategies
- Distributing images to container registries
- Implementing containers in on-premises or cloud infrastructures
- Versioning and updating production services
Conclusion and Future Directions
Requirements
- Knowledge of machine learning workflows
- Proficiency in Python or comparable programming languages
- Basic familiarity with Linux command-line utilities
Target Audience
- ML engineers responsible for production model deployment
- Data scientists overseeing reproducible experimental environments
- AI developers creating scalable container-based applications
Testimonials (2)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes
multi-tiered, structured course programme.
