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 Duration 21 hours

Course Outline

Introduction to GPU-Accelerated Containerization

  • The role of GPUs in deep learning pipelines
  • How Docker facilitates GPU-based tasks
  • Essential performance metrics and considerations

Installing and Setting Up the NVIDIA Container Toolkit

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

Creating GPU-Enabled Docker Images

  • Leveraging CUDA base images
  • Bundling AI frameworks into GPU-ready containers
  • Handling dependencies for training and inference

Executing GPU-Accelerated AI Tasks

  • Running training jobs leveraging GPU power
  • Overseeing multi-GPU operations
  • Tracking GPU usage and efficiency

Enhancing Performance and Resource Management

  • Constraining and isolating GPU resources
  • Optimizing memory usage, batch sizes, and device selection
  • Refining performance and running diagnostics

Containerized Inference and Model Serving

  • Constructing containers prepared for inference
  • Handling high-volume workloads on GPUs
  • Connecting model runners and APIs

Scaling GPU Tasks with Docker

  • Methods for distributed GPU training
  • Expanding inference microservices
  • Orchestrating multi-container AI systems

Ensuring Security and Reliability for GPU-Enabled Containers

  • Guaranteeing secure GPU access in shared settings
  • Strengthening container image security
  • Oversight of updates, versions, and compatibility

Conclusion and Future Directions

Requirements

  • A solid grasp of deep learning fundamentals
  • Proficiency in Python and standard AI frameworks
  • Basic knowledge of containerization principles

Target Audience

  • Deep learning engineers
  • Research and development groups
  • 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

2026-11-30 09:30
21 hours
Bratislava CBC
1160 EUR (Online)
1760 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-14 09:30
21 hours
Bratislava CBC
1160 EUR (Online)
1760 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-28 09:30
21 hours
Bratislava CBC
1160 EUR (Online)
1760 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2027-01-11 09:30
21 hours
Bratislava CBC
1160 EUR (Online)
1760 EUR (Classroom)

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