Get in Touch
 Duration 21 hours

Course Outline

Introduction to GPU-Accelerated Containerization

  • Exploring the role of GPUs in deep learning workflows
  • The role of Docker in supporting GPU-based workloads
  • Essential performance considerations

Installation and Configuration of the NVIDIA Container Toolkit

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

Creating GPU-Enabled Docker Images

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

Executing GPU-Accelerated AI Workloads

  • Running training jobs on GPUs
  • Overseeing multi-GPU workloads
  • Tracking GPU utilization

Enhancing Performance and Resource Management

  • Restricting and isolating GPU resources
  • Tuning memory, batch sizes, and device placement
  • Conducting performance tuning and diagnostics

Containerized Inference and Model Serving

  • Developing containers ready for inference
  • Handling high-load workloads on GPUs
  • Integrating model runners and APIs

Scaling GPU Workloads with Docker

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

Ensuring Security and Reliability for GPU-Enabled Containers

  • Safeguarding GPU access in shared environments
  • Strengthening container images
  • Managing updates, versions, and compatibility

Summary and Future Directions

Requirements

  • A solid grasp of deep learning fundamentals
  • Practical experience with Python and prevalent AI frameworks
  • Working knowledge of basic containerization concepts

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

2026-11-23 09:30
21 hours
Turin
3150 EUR (Online)
3750 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-07 09:30
21 hours
Genoa
3150 EUR (Online)
3750 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2026-12-21 09:30
21 hours
Bologna
3150 EUR (Online)
3750 EUR (Classroom)

GPU-Accelerated AI & Deep Learning with Docker Containers

2027-01-04 09:30
21 hours
Rome
3150 EUR (Online)
3750 EUR (Classroom)

Related Courses

Advanced Docker

 14 Hours

This live, instructor-led training on Italy (delivered online or onsite) is designed for engineers seeking to expand their Docker proficiency. It focuses on deploying applications at scale while ensuring robust control and management.

By the end of the program, participants will be able to:

  • Create proprietary Docker images.
  • Manage the deployment of extensive Docker application portfolios.
  • Evaluate and select the optimal container orchestration solution.
  • Implement continuous integration processes for Docker applications.
  • Seamlessly integrate Docker applications with existing continuous tooling.
  • Fortify the security of their Docker applications.
Read more...

Docker & Kubernetes Advanced

 21 Hours

Upon completion of this training, participants will be able to:

  • Create custom Docker images.
  • Deploy and manage a high volume of Docker applications.
  • Assess various container orchestration solutions and select the most appropriate one.
  • Establish a continuous integration workflow for Docker applications.
  • Integrate Docker applications into existing continuous integration toolchains.
  • Enhance the security of Docker applications.
  • Utilize Kubernetes to deploy and manage diverse environments within a single cluster.
  • Secure, scale, and monitor a Kubernetes cluster.
Read more...

Containerized AI & ML Deployment with Docker

 14 Hours
This instructor-led training in Italy equips intermediate professionals with the skills to containerize AI and ML workloads using Docker. Learners will master the creation of optimized images, dependency management, and the deployment of reliable pipelines, acquiring practical expertise for building consistent and portable production environments.
Read more...

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

 21 Hours
This live training in Italy focuses on automating Docker-based AI model builds and deployments through CI/CD. It addresses packaging, testing, version management, and deployment strategies for MLOps. Participants will develop practical skills in creating pipelines and managing secure containers.
Read more...

Certified Kubernetes Administrator (CKA) - exam preparation

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

Certified Kubernetes Application Developer (CKAD) - exam preparation

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

Introduction to Docker

 14 Hours
This instructor-led live training held in Italy delves into the fundamental concepts of Docker, enabling participants to automate the lifecycle of building, shipping, and running applications within containers. You will acquire practical skills in Docker installation, image management, networking, and registry operations.
Read more...

Container Platforms Administration with Docker, Kubernetes and OpenShift

 35 Hours

Acquire the skills to build, deploy, and administer containerized environments utilizing Docker, Kubernetes, and OpenShift. This five-day, hands-on training encompasses container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants will gain the necessary competencies 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 Italy (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 training in Italy walks professionals through the process of containerizing full ML pipelines using Docker. Participants will gain proficiency in building reproducible environments, orchestrating training and inference workloads, and implementing CI/CD for 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 Italy focuses on deploying AI inference across cloud, on-premise, and edge environments using Docker. Participants will learn 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

Through this instructor-led live training in Italy (onsite or remote), participants will learn how to deploy a set of sample servers inside containers. They will then master the automation, scaling, and management of these containerized servers within a Kubernetes cluster. The course progresses to more advanced topics, guiding participants through the processes of securing, networking, and monitoring a Kubernetes cluster.

Upon completion of this training, participants will be capable of:

  • Setting up and running a Docker container.
  • Deploying containerized databases and servers.
  • Establishing a Docker and Kubernetes cluster.
  • Utilizing Kubernetes to deploy and manage diverse environments under a single cluster.
  • Securing, scaling, and monitoring a Kubernetes cluster.
Read more...

Building Microservices with Spring Cloud and Docker

 21 Hours

During this instructor-led, live training held in Italy, participants will acquire the essential skills for building microservices using Spring Cloud and Docker. Knowledge is reinforced through 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 Italy (online or onsite) targets intermediate-level developers and DevOps engineers who wish to construct, 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...

Related Categories

Docker
Docker