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 Duration 14 hours

Course Outline

Fundamentals of Containerization for AI and ML

  • Essential principles of containerization
  • The suitability of containers for ML workloads
  • Distinguishing between containers and virtual machines

Managing Docker Images and Containers

  • Exploring images, layers, and registries
  • Overseeing containers for ML experimentation
  • Efficient use of the Docker CLI

Encapsulating ML Environments

  • Preparing ML codebases for containerization
  • Handling Python environments and dependencies
  • Incorporating CUDA and GPU capabilities

Crafting Dockerfiles for Machine Learning

  • Architecting Dockerfiles for ML projects
  • Best practices for performance and maintainability
  • Utilizing multi-stage builds

Containerizing ML Models and Pipelines

  • Encapsulating trained models into containers
  • Strategies for data and storage management
  • Implementing reproducible end-to-end workflows

Executing Containerized ML Services

  • Configuring API endpoints for model inference
  • Scaling services through Docker Compose
  • Monitoring runtime performance

Security and Compliance Factors

  • Securing container configurations
  • Managing access controls and credentials
  • Protecting sensitive ML assets

Production Deployment Strategies

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

Wrap-up 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 deploying models into production
  • Data scientists seeking to manage reproducible experimental environments
  • AI developers constructing scalable, containerized applications

Number of participants


Price per participant

Open Training Courses require 5+ participants.

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

2026-11-05 09:30
14 hours
Salvador - Mundo Plaza Centre
$ 5980 (Online)
$ 6980 (Classroom)

Containerized AI & ML Deployment with Docker

2026-11-19 09:30
14 hours
Sao Paulo - Nacoes Unidas Tower
$ 5980 (Online)
$ 6980 (Classroom)

Containerized AI & ML Deployment with Docker

2026-12-03 09:30
14 hours
Sao Paulo-Top Center Paulista
$ 5980 (Online)
$ 6980 (Classroom)

Containerized AI & ML Deployment with Docker

2026-12-17 09:30
14 hours
Campinas - Shopping Galleria Plaza
$ 5980 (Online)
$ 6980 (Classroom)

Containerized AI & ML Deployment with Docker

2026-12-31 09:30
14 hours
Sao Paulo - Domo Corporate ABC
$ 5980 (Online)
$ 6980 (Classroom)

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