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Course Outline

Introduction to Containerization with GPU Acceleration

  • Grasping GPU utility in deep learning processes
  • The role of Docker in supporting GPU-based tasks
  • Essential performance factors to consider

Setup and Configuration of the NVIDIA Container Toolkit

  • Installing drivers and ensuring CUDA compatibility
  • Verifying GPU access within containers
  • Setting up the runtime environment

Creating Docker Images with GPU Support

  • Utilizing CUDA base images
  • Encapsulating AI frameworks in GPU-ready containers
  • Handling dependencies for training and inference

Executing GPU-Accelerated AI Workloads

  • Running training jobs on GPUs
  • Oversight of multi-GPU tasks
  • Tracking GPU usage metrics

Performance Tuning and Resource Management

  • Restricting and segregating GPU resources
  • Refining memory usage, batch sizes, and device assignment
  • Tuning performance and running diagnostics

Inference and Model Serving in Containers

  • Assembling containers ready for inference
  • Handling high-volume workloads on GPUs
  • Incorporating model runners and APIs

Scaling GPU Workloads via Docker

  • Approaches for distributed GPU training
  • Expanding inference microservices
  • Managing multi-container AI architectures

Security and Reliability for GPU-Enabled Containers

  • Securing GPU access in shared settings
  • Strengthening container image security
  • Overseeing updates, versions, and compatibility

Wrap-up and Future Directions

Requirements

  • A solid grasp of deep learning fundamentals
  • Practical experience with Python and standard AI frameworks
  • Basic knowledge of containerization principles

Target Audience

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

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

multi-tiered, structured course programme.

Bert Paelinckx - Cube SoftwareSolutions
Course - Introduction to Docker

How trainer deliver knowledge so effectively

Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation

The knowledge and exchanges with Augustin

Laurent - L'Office national des vacances annuelles (ONVA)
Course - Docker and Kubernetes

Upcoming Courses

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-10-20 09:30
21 hours
Bangalore, UB City - Classroom
252,991 INR (Online)
297,991 INR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-11-03 09:30
21 hours
Bangladesh, Dhaka - Classroom
252,991 INR (Online)
311,191 INR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-11-17 09:30
21 hours
Bhutan, Thimphu - Classroom
252,991 INR (Online)
275,491 INR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-01 09:30
21 hours
Bhutan, Paro - Classroom
252,991 INR (Online)
279,688 INR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-15 09:30
21 hours
NPIN BRICS Offsite Venue - Cairo
252,991 INR (Online)
615,028 INR (Classroom)

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