Course Outline
Foundations of Containerization for AI & ML
- Essential principles of containerization
- The suitability of containers for ML workloads
- Distinctions between containers and virtual machines
Managing Docker Images and Containers
- Insights into images, layers, and registries
- Handling containers for ML experimentation
- Efficient utilization of the Docker CLI
Preparing ML Environments for Packaging
- Adapting ML codebases for containerization
- Managing Python environments and their dependencies
- Incorporating CUDA and GPU support
Creating Dockerfiles for Machine Learning
- Designing Dockerfiles for ML projects
- Best practices for ensuring performance and maintainability
- Utilizing multi-stage builds
Encapsulating ML Models and Pipelines
- Containerizing trained models
- Strategies for managing data and storage
- Implementing reproducible end-to-end workflows
Operationalizing Containerized ML Services
- Exposing API endpoints for model inference
- Scaling services using Docker Compose
- Monitoring runtime behavior
Addressing Security and Compliance
- Configuring secure container settings
- Managing access controls and credentials
- Safeguarding confidential ML assets
Production Deployment Strategies
- Publishing images to container registries
- Deploying containers in on-premises or cloud infrastructure
- Managing versioning and updates for production services
Course Wrap-up and Future Pathways
Requirements
- A solid grasp of machine learning workflows
- Proficiency with Python or comparable programming languages
- Knowledge of fundamental Linux command-line operations
Target Audience
- ML engineers responsible for deploying models to production
- Data scientists focused on maintaining reproducible experiment environments
- AI developers creating scalable, container-based applications
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 (3)
How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
the trainer had a lot of knowledge and patience to share with us
Bogdan Olaru
Course - Introduction to Docker
The knowledge and exchanges with Augustin
