Get in Touch
 Duration 21 hours

Course Outline

Foundations of GPU-Accelerated Containerization

  • The role of GPUs in deep learning pipelines
  • Docker's support for GPU-intensive tasks
  • Critical performance factors

Setup and Configuration of the NVIDIA Container Toolkit

  • Installing drivers and ensuring CUDA compatibility
  • Verifying GPU availability within containers
  • Tuning the runtime environment

Creating GPU-Ready Docker Images

  • Leveraging CUDA foundation images
  • Incorporating AI frameworks into GPU-compatible containers
  • Handling dependencies for training and inference tasks

Executing GPU-Accelerated AI Tasks

  • Launching training jobs on GPU hardware
  • Overseeing multi-GPU operations
  • Tracking GPU usage metrics

Enhancing Performance and Resource Distribution

  • Controlling and separating GPU resources
  • Refining memory usage, batch sizes, and device assignment
  • Performance adjustments and troubleshooting

Container-Based Inference and Model Deployment

  • Assembling containers prepared for inference
  • Handling high-demand tasks on GPUs
  • Integrating model execution tools and APIs

Expanding GPU Operations with Docker

  • Methods for distributed GPU training
  • Scaling inference microservices
  • Synchronizing multi-container AI architectures

Security and Stability for GPU-Based Containers

  • Securing GPU access in shared setups
  • Strengthening container security
  • Handling updates, versions, and compatibility issues

Recap and Future Directions

Requirements

  • A solid grasp of core deep learning concepts
  • Proficiency in Python and standard AI frameworks
  • Knowledge of fundamental containerization principles

Target Audience

  • Deep learning specialists
  • Research and development groups
  • AI model training professionals

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

2026-11-05 09:30
21 hours
Malmö, Stadskärna
3000 EUR (Online)
3600 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-11-19 09:30
21 hours
Göteborg
3000 EUR (Online)
3600 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-03 09:30
21 hours
Västerås
3000 EUR (Online)
3600 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-17 09:30
21 hours
Örebro, City Center
3000 EUR (Online)
3600 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-31 09:30
21 hours
Linköping
3000 EUR (Online)
3600 EUR (Classroom)

Related Courses

Advanced Docker

 14 Hours

This instructor-led live training in Sweden (online or onsite) is tailored for engineers looking to expand their Docker proficiency, enabling them to deploy applications at scale with full control.

By the end of this training, participants will have the capability to:

  • Construct proprietary Docker images.
  • Deploy and oversee a large volume of Docker applications.
  • Compare container orchestration solutions and select the optimal fit.
  • Configure a continuous integration pipeline for Docker applications.
  • Connect Docker applications with existing integration tools.
  • Harden the security of their Docker applications.
Read more...

Containerized AI & ML Deployment with Docker

 14 Hours
This instructor-led training in Sweden teaches intermediate professionals to containerize AI and ML workloads using Docker. Participants will learn to build optimized images, manage dependencies, and deploy reliable pipelines, gaining hands-on skills for consistent, portable production environments.
Read more...

CI/CD for AI: Automating Docker-Based Model Builds and Deployments

 21 Hours
This live training in Sweden focuses on automating Docker-based AI model builds and deployments via CI/CD. It addresses packaging, testing, version control, and deployment strategies for MLOps. Participants will acquire practical skills in pipeline development and secure container management.
Read more...

Certified Kubernetes Administrator (CKA) - exam preparation

 21 Hours
This instructor-led, live training in Sweden addresses the Certified Kubernetes Administrator (CKA) exam. It offers practical exposure to Kubernetes architecture, networking, security, and troubleshooting. It is well-suited for administrators pursuing certification or seeking to enhance their practical cluster management capabilities.
Read more...

Certified Kubernetes Application Developer (CKAD) - exam preparation

 21 Hours
This instructor-led CKAD training in Sweden equips developers with the skills necessary for the Certified Kubernetes Application Developer exam through immersive hands-on labs. The curriculum covers the design, construction, and security of cloud-native applications, focusing on core Kubernetes concepts, deployment strategies, and networking fundamentals.
Read more...

Introduction to Docker

 14 Hours
This instructor-led, live training in Sweden explores the fundamental concepts of Docker, empowering participants to automate the build, shipping, and execution of applications within containers. You will develop practical skills in Docker installation, image handling, networking, and registry management.
Read more...

Container Platforms Administration with Docker, Kubernetes and OpenShift

 35 Hours

Learn how to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will acquire the necessary skills to operate modern container platforms and troubleshoot applications across both development and production environments.

Read more...

Docker and Kubernetes: Building and Scaling a Containerized Application

 21 Hours

In this instructor-led, live training in Sweden (onsite or remote), attendees will learn to create and manage Docker containers, then deploy a sample application within a container. Participants will also learn to automate, scale, and manage their containerized applications within a Kubernetes cluster. Additionally, the training covers advanced topics, guiding participants through securing, scaling, and monitoring a Kubernetes cluster.

Upon completing this training, participants will be capable of:

  • Establishing and executing a Docker container.
  • Deploying a containerized server and web application.
  • Constructing and administering Docker images.
  • Setting up a Docker and Kubernetes cluster.
  • Utilizing Kubernetes to deploy and manage a clustered web application.
  • Securing, scaling, and monitoring a Kubernetes cluster.
Read more...

Docker for MLOps: End-to-End Pipeline Containerization

 21 Hours
This instructor-led session on Sweden walks professionals through the process of containerizing full ML pipelines with Docker. Attendees will gain expertise in creating reproducible environments, managing training and inference workloads, and establishing CI/CD for scalable MLOps deployments.
Read more...

Docker and Kubernetes

 21 Hours

Course Objectives: Gain theoretical and practical skills in Docker and Kubernetes.

Read more...

Hybrid AI Deployment: Docker, Cloud, and Edge Integration

 21 Hours
This instructor-led training in Sweden focuses on deploying AI inference across cloud, on-premise, and edge environments using Docker. Participants will gain the skills to construct secure containerized AI services, integrate orchestration tools, and optimize latency and resilience for distributed workloads.
Read more...

Kubernetes from Basic to Advanced

 14 Hours

In this instructor-led, live training in Sweden (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

  • Set up and run a Docker container.
  • Deploy containerized databases and servers.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage different environments under the same cluster.
  • Secure, scale and monitor a Kubernetes cluster.
Read more...

Building Microservices with Spring Cloud and Docker

 21 Hours

In this instructor-led live training conducted in Sweden, participants will learn the essential principles of building microservices using Spring Cloud and Docker. Knowledge is assessed through practical exercises and the incremental development of sample microservices.

By the conclusion of this training, participants will be able to:

  • Understand the fundamentals of microservices.
  • Use Docker to build containers for microservice applications.
  • Build and deploy containerized microservices using Spring Cloud and Docker.
  • Integrate microservices with discovery services and the Spring Cloud API Gateway.
  • Use Docker Compose for end-to-end integration testing.
Read more...

Building Microservices with Spring Cloud and Docker - 5 Days

 35 Hours

This instructor-led, live training in Sweden (online or onsite) is designed for intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker.

By the end of this training, participants will be able to:

  • Develop microservices using Spring Boot and Spring Cloud.
  • Containerize applications with Docker and Docker Compose.
  • Implement service discovery, API gateways, and inter-service communication.
  • Monitor and secure microservices in production environments.
  • Deploy and orchestrate microservices using Kubernetes.
Read more...

OpenShift Administration Fundamentals

 35 Hours

OpenShift stands as one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid, and on-premises environments.

This hands-on training instructs participants on how to install, administer, and troubleshoot OpenShift clusters while applying security, networking, and storage best practices. Through practical exercises, participants acquire the skills necessary to confidently manage production-ready OpenShift environments.

Read more...

Related Categories

Docker
Docker