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 Duration 21 hours

Course Outline

Foundations of GPU-Accelerated Containerization

  • The role of GPUs in deep learning pipelines
  • Docker’s support for GPU-based tasks
  • Essential performance metrics to consider

Setup and Configuration of the NVIDIA Container Toolkit

  • Installing drivers and ensuring CUDA compatibility
  • Verifying GPU accessibility within containers
  • Configuring the necessary runtime environment

Creating GPU-Ready Docker Images

  • Leveraging CUDA-based foundation images
  • Encapsulating AI frameworks into GPU-enabled containers
  • Handling dependencies for training and inference

Executing GPU-Accelerated AI Processes

  • Running training jobs with GPU acceleration
  • Overseeing multi-GPU operations
  • Tracking GPU usage and utilization

Performance Optimization and Resource Management

  • Restricting and isolating GPU resources
  • Refining memory usage, batch sizes, and device allocation
  • Conducting performance tuning and diagnostic analysis

Containerized Inference and Model Delivery

  • Assembling containers prepared for inference
  • Handling high-volume workloads on GPUs
  • Incorporating model execution engines and APIs

Scaling GPU Operations with Docker

  • Approaches for distributed GPU training
  • Expanding inference microservices
  • Coordinating complex, multi-container AI architectures

Enhancing Security and Stability for GPU Containers

  • Safeguarding GPU access in shared settings
  • Strengthening the security of container images
  • Overseeing updates, version control, and compatibility

Wrap-Up and Future Directions

Requirements

  • A solid grasp of fundamental deep learning concepts
  • Practical experience with Python and mainstream AI frameworks
  • Basic knowledge of containerization principles

Target Audience

  • Deep learning engineers
  • Research and development teams
  • AI model trainers

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

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-11-16 09:30
21 hours
Central Point Varna
810 EUR (Online)
1410 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-11-30 09:30
21 hours
Business Center Plovdiv
810 EUR (Online)
3360 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-14 09:30
21 hours
Crystal Business Center
810 EUR (Online)
1410 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-28 09:30
21 hours
Central Point Varna
810 EUR (Online)
1410 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2027-01-11 09:30
21 hours
Business Center Plovdiv
810 EUR (Online)
3360 EUR (Classroom)

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