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Course Outline
Introduction to Containerization for AI & ML
- Core concepts of containerization
- Why containers are ideal for ML workloads
- Key differences between containers and virtual machines
Working with Docker Images and Containers
- Understanding images, layers, and registries
- Managing containers for ML experimentation
- Using the Docker CLI efficiently
Packaging ML Environments
- Preparing ML codebases for containerization
- Managing Python environments and dependencies
- Integrating CUDA and GPU support
Building Dockerfiles for Machine Learning
- Structuring Dockerfiles for ML projects
- Best practices for performance and maintainability
- Using multi-stage builds
Containerizing ML Models and Pipelines
- Packaging trained models into containers
- Managing data and storage strategies
- Deploying reproducible end-to-end workflows
Running Containerized ML Services
- Exposing API endpoints for model inference
- Scaling services with Docker Compose
- Monitoring runtime behavior
Security and Compliance Considerations
- Ensuring secure container configurations
- Managing access and credentials
- Handling confidential ML assets
Deploying to Production Environments
- Publishing images to container registries
- Deploying containers in on-prem or cloud setups
- Versioning and updating production services
Summary and Next Steps
Requirements
- An understanding of machine learning workflows
- Experience with Python or similar programming languages
- Familiarity with basic Linux command-line operations
Audience
- ML engineers deploying models to production
- Data scientists managing reproducible experiment environments
- AI developers building scalable containerized applications
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (5)
OC is new to us and we learnt alot and the labs were excellent
sharkey dollie
Course - OpenShift 4 for Administrators
Very informative and to the point. Hands on pratice
Gil Matias - FINEOS
Course - Introduction to Docker
Labs and technical discussions.
Dinesh Panchal - AXA XL
Course - Advanced Docker
That Brian has good knowledge of the topic and explains it well
Francisco Demetrio Quitral - IMED S.A
Course - Rancher: administra tus contenedores Docker
Machine Translated
It gave a good grounding for Docker and Kubernetes.
