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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
- Distinctions between containers and virtual machines
Handling Docker Images and Containers
- Comprehending images, layers, and registries
- Container management for ML experimentation
- Efficient utilization of the Docker CLI
Packaging ML Environments
- Readying ML codebases for containerization
- Managing Python environments and associated dependencies
- Incorporating CUDA and GPU support
Crafting Dockerfiles for Machine Learning
- Organizing Dockerfiles for ML projects
- Best practices for performance and code maintainability
- Leveraging multi-stage builds
Containerizing ML Models and Pipelines
- Encapsulating trained models into containers
- Data and storage strategy management
- Implementing reproducible end-to-end workflows
Executing Containerized ML Services
- Creating API endpoints for model inference
- Scaling services using Docker Compose
- Monitoring runtime behavior
Security and Compliance
- Securing container configurations
- Overseeing access controls and credentials
- Protecting confidential ML assets
Production Deployment
- Publishing images to container registries
- Deploying containers in on-premise or cloud architectures
- Versioning and updating production services
Conclusion and Future Directions
Requirements
- A solid grasp of machine learning workflows
- Proficiency in Python or comparable programming languages
- Basic knowledge of Linux command-line operations
Target Audience
- ML engineers responsible for moving models into production
- Data scientists focused on maintaining reproducible experiment environments
- AI developers constructing 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.
