Get in Touch
 Duration 21 hours

Course Outline

Introduction to GPU-Enhanced Containerization

  • The role of GPUs in deep learning pipelines
  • How Docker facilitates GPU-based processing
  • Essential performance factors to consider

Installation and Configuration of the NVIDIA Container Toolkit

  • Establishing drivers and ensuring CUDA compatibility
  • Verifying GPU accessibility within containers
  • Setting up the runtime environment

Creating GPU-Ready Docker Images

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

Executing GPU-Accelerated AI Tasks

  • Running training jobs with GPU support
  • Overseeing multi-GPU operations
  • Tracking GPU performance and usage

Enhancing Performance and Resource Management

  • Controlling and isolating GPU resources
  • Optimizing memory usage, batch sizes, and device assignment
  • Tuning performance and conducting diagnostics

Containerized Inference and Model Serving

  • Developing containers optimized for inference
  • Handling high-demand workloads on GPUs
  • Connecting model runners and API services

Expanding GPU Operations with Docker

  • Approaches for distributed GPU training
  • Scaling inference microservices
  • Managing multi-container AI systems

Security and Stability for GPU-Enabled Containers

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

Recap and Future Steps

Requirements

  • A solid grasp of deep learning core concepts
  • Proficiency in Python and widely used AI frameworks
  • Basic knowledge of containerization principles

Target Audience

  • Deep learning engineers
  • R&D teams
  • AI model specialists

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
ActiveOne Bucharest
743 EUR (Online)
1343 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-11-19 09:30
21 hours
Brasov, Calea Bucuresti Street
743 EUR (Online)
1343 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-03 09:30
21 hours
Sibiu
743 EUR (Online)
1343 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-17 09:30
21 hours
Cluj-Napoca, Pitești Street
743 EUR (Online)
1343 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-31 09:30
21 hours
Timisoara, Iosif Bulbuca Boulevard
743 EUR (Online)
1343 EUR (Classroom)

Related Courses

Advanced Docker

 14 Hours

This instructor-led live training, available in Romania (either online or onsite), is designed for engineers aiming to deepen their Docker proficiency for deploying applications at scale while maintaining operational control.

Upon completion, participants will be able to:

  • Build custom Docker images.
  • Deploy and manage large-scale Docker application environments.
  • Evaluate and select the most appropriate container orchestration solution.
  • Implement a continuous integration pipeline for Docker applications.
  • Integrate Docker applications with existing continuous integration processes.
  • Secure Docker application deployments.
Read more...

Docker & Kubernetes Advanced

 21 Hours

Upon completing this training, participants will be capable of:

  • Creating custom Docker images.
  • Deploying and managing a high volume of Docker applications.
  • Evaluating various container orchestration platforms and selecting the optimal solution.
  • Establishing a continuous integration pipeline for Docker-based applications.
  • Integrating Docker applications into existing continuous integration workflows.
  • Implementing security measures for Docker applications.
  • Utilizing Kubernetes to deploy and manage diverse environments within a single cluster.
  • Securing, scaling, and monitoring a Kubernetes cluster.
Read more...

Containerized AI & ML Deployment with Docker

 14 Hours
This instructor-led training in Romania guides intermediate professionals in containerizing AI and ML workloads using Docker. Learners will master the creation of optimized images, dependency management, and the deployment of reliable pipelines, acquiring hands-on skills for building consistent and portable production environments.
Read more...

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

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

Certified Kubernetes Administrator (CKA) - exam preparation

 21 Hours
This instructor-led, live training in Romania focuses on the Certified Kubernetes Administrator (CKA) exam. It offers practical experience with Kubernetes architecture, networking, security, and troubleshooting. It is ideal for administrators seeking certification or enhancing their practical cluster management skills.
Read more...

Certified Kubernetes Application Developer (CKAD) - exam preparation

 21 Hours
This instructor-led CKAD training in Romania equips developers for the Certified Kubernetes Application Developer exam through immersive hands-on labs. The curriculum covers designing, building, and securing cloud-native applications by leveraging core Kubernetes concepts, advanced deployment strategies, and essential networking fundamentals.
Read more...

Introduction to Docker

 14 Hours
This instructor-led live training in Romania delves into the fundamental concepts of Docker, empowering participants to automate the building, shipping, and running of applications within containers. Attendees will develop practical skills in Docker installation, image administration, 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 gain the skills needed to operate modern container platforms and troubleshoot applications across development and production environments.

Read more...

Docker and Kubernetes: Building and Scaling a Containerized Application

 21 Hours

In this instructor-led, live training in Romania (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster.

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

  • Set up and run a Docker container.
  • Deploy a containerized server and web application.
  • Build and manage Docker images.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage a clustered web application.
  • Secure, scale and monitor a Kubernetes cluster.
Read more...

Docker for MLOps: End-to-End Pipeline Containerization

 21 Hours
This instructor-led session on Romania walks professionals through the process of encapsulating entire ML pipelines using Docker. Attendees will gain proficiency in constructing reproducible environments, orchestrating both training and inference tasks, and establishing CI/CD workflows to support scalable MLOps deployments.
Read more...

Docker and Kubernetes

 21 Hours

Training Objectives: Acquire 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 Romania focuses on deploying AI inference across cloud, on-premise, and edge environments using Docker. Participants will learn to build 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 Romania (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

During this instructor-led live training in Romania, participants will acquire the essential skills needed to build microservices using Spring Cloud and Docker. Knowledge is tested via exercises and the step-by-step construction of sample microservices.

By the end of the 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, conducted Romania (online or onsite), targets intermediate developers and DevOps engineers seeking to build, deploy, and manage microservices using Spring Cloud and Docker.

By the conclusion 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...

Related Categories

Docker
Docker