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 Duration 14 hours

Course Outline

Introduction to AI & ML Containerization

  • Foundational concepts of containerization
  • The suitability of containers for ML workloads
  • Distinguishing between containers and virtual machines

Managing Docker Images and Containers

  • Comprehending images, layers, and registries
  • Overseeing containers for ML experimentation
  • Efficiently utilizing the Docker CLI

Packaging ML Environments

  • Readying ML codebases for containerization
  • Handling Python environments and dependencies
  • Incorporating CUDA and GPU support

Crafting Dockerfiles for Machine Learning

  • Designing Dockerfiles for ML projects
  • Best practices for enhancing performance and maintainability
  • Implementing multi-stage builds

Encapsulating ML Models and Pipelines

  • Packaging trained models into containers
  • Strategy management for 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 behaviour

Security and Compliance Considerations

  • Safeguarding container configurations
  • Controlling access and credentials
  • Managing confidential ML assets

Production Deployment

  • Releasing images to container registries
  • Deploying containers in on-premises or cloud infrastructures
  • Versioning and updating production services

Conclusion and Next Steps

Requirements

  • A solid grasp of machine learning workflows
  • Proficiency in Python or equivalent programming languages
  • Basic familiarity with Linux command-line operations

Target Audience

  • ML engineers responsible for deploying models into production
  • Data scientists seeking to manage reproducible experiment environments
  • AI developers building scalable, container-based applications

Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793

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.

Bert Paelinckx - Cube SoftwareSolutions
Course - Introduction to Docker

Upcoming Courses

Containerized AI & ML Deployment with Docker

2026-11-24 09:30
14 hours
Garden Court South Beach

Containerized AI & ML Deployment with Docker

2026-12-08 09:30
14 hours
Sheraton Pretoria Hotel

Containerized AI & ML Deployment with Docker

2026-12-22 09:30
14 hours
Pretoria - Brooklyn Bridge

Containerized AI & ML Deployment with Docker

2027-01-05 09:30
14 hours
Cape Town - City Lodge Hotel Victoria and Alfred Waterfront

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