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.
Duration 14 hours
Course Outline
Introduction to Containerization for AI & ML
- Fundamental concepts of containerization
- The suitability of containers for ML workloads
- Distinctions between containers and virtual machines
Managing Docker Images and Containers
- Comprehending images, layers, and registries
- Handling containers for ML experimentation
- Efficient use of the Docker CLI
Encapsulating ML Environments
- Preparing ML codebases for containerization
- Managing Python environments and dependencies
- Incorporating CUDA and GPU support
Creating Dockerfiles for Machine Learning
- Structuring Dockerfiles for ML projects
- Best practices for performance and maintainability
- Utilizing multi-stage builds
Containerizing ML Models and Pipelines
- Packaging trained models into containers
- Strategies for managing data and storage
- Implementing reproducible end-to-end workflows
Executing Containerized ML Services
- Exposing API endpoints for model inference
- Scaling services using Docker Compose
- Monitoring runtime behavior
Security and Compliance Considerations
- Configuring secure containers
- Managing access and credentials
- Handling confidential ML assets
Production Deployment
- Publishing images to container registries
- Deploying containers in on-prem or cloud configurations
- Versioning and updating production services
Summary and Next Steps
Requirements
- Comprehension of machine learning workflows
- Proficiency in Python or similar programming languages
- Knowledge of basic Linux command-line operations
Target Audience
- ML engineers responsible for deploying models to production
- Data scientists seeking to manage reproducible experiment environments
- AI developers creating scalable, containerized 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.
