Get in Touch
 Duration 14 hours

Course Outline

Foundations of AI Inference with Docker

  • Comprehending AI inference workloads
  • Advantages of containerized inference
  • Deployment use cases and limitations

Creating AI Inference Containers

  • Choosing appropriate base images and frameworks
  • Encapsulating pretrained models
  • Organizing inference code for containerized execution

Enhancing the Security of Containerized AI Services

  • Reducing the container attack surface
  • Handling secrets and sensitive data
  • Strategies for secure networking and API exposure

Techniques for Portable Deployment

  • Optimizing images for mobility
  • Maintaining predictable runtime environments
  • Handling dependencies across various platforms

Local Deployment and Validation

  • Executing services locally via Docker
  • Troubleshooting inference containers
  • Evaluating performance and stability

Deployment to Servers and Cloud VMs

  • Tuning containers for remote settings
  • Setting up secure server access
  • Implementing inference APIs on cloud VMs

Leveraging Docker Compose for Multi-Service AI Architectures

  • Coordinating inference with auxiliary components
  • Controlling environment variables and configurations
  • Scaling microservices using Compose

Oversight and Upkeep of AI Inference Services

  • Logging and observability methods
  • Identifying issues in inference pipelines
  • Managing model updates and versioning in live environments

Recap and Future Directions

Requirements

  • Familiarity with fundamental machine learning concepts
  • Practical experience in Python or backend development
  • Basic knowledge of containerization principles

Intended Audience

  • Software developers
  • Backend engineers
  • Teams responsible for deploying AI services

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

Secure & Portable AI Inference with Docker: From Local to Cloud

2026-11-17 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Secure & Portable AI Inference with Docker: From Local to Cloud

2026-12-01 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Secure & Portable AI Inference with Docker: From Local to Cloud

2026-12-15 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Secure & Portable AI Inference with Docker: From Local to Cloud

2026-12-29 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Secure & Portable AI Inference with Docker: From Local to Cloud

2027-01-12 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Related Courses

Advanced Docker

 14 Hours

This live, instructor-led training in Serbia, available online or on-site, is designed for engineers seeking to master advanced Docker concepts for deploying applications at scale while ensuring full control.

By the conclusion of this session, participants will be equipped to:

  • Construct personalized Docker images.
  • Deploy and oversee a large volume of Docker applications.
  • Analyze different container orchestration options to determine the best fit.
  • Configure continuous integration pipelines for Docker applications.
  • Integrate Docker applications with current continuous integration toolsets.
  • Implement robust security measures for Docker applications.
Read more...

Docker & Kubernetes Advanced

 21 Hours

By the end 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 option.
  • Establish a continuous integration pipeline for Docker applications.
  • Integrate Docker applications with existing continuous integration workflows.
  • Enhance the security of Docker applications.
  • Leverage Kubernetes to deploy and manage multiple environments within a single cluster.
  • Secure, scale, and monitor Kubernetes clusters.
Read more...

Containerized AI & ML Deployment with Docker

 14 Hours
This instructor-led program in Serbia guides intermediate professionals in containerizing AI and ML workloads utilizing Docker. Learners will develop the ability to construct optimized images, handle dependencies, and implement reliable pipelines, acquiring practical skills for establishing consistent and portable production environments.
Read more...

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

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

Certified Kubernetes Administrator (CKA) - exam preparation

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

Certified Kubernetes Application Developer (CKAD) - exam preparation

 21 Hours
This instructor-led CKAD training in Serbia equips developers for the Certified Kubernetes Application Developer exam through hands-on labs. It covers the design, construction, and security of cloud-native apps using core Kubernetes concepts, deployment strategies, and networking fundamentals.
Read more...

Introduction to Docker

 14 Hours
This instructor-led live training in Serbia delves into the fundamental principles of Docker, enabling participants to automate the workflow of building, shipping, and running containerized applications. You will develop practical expertise in Docker installation, image management, networking configurations, and registry handling.
Read more...

Container Platforms Administration with Docker, Kubernetes and OpenShift

 35 Hours

Acquire the skills to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This five-day, intensive hands-on training encompasses container images, Kubernetes workloads, cluster networking, storage solutions, security protocols, monitoring techniques, and practical OpenShift administration. Participants will emerge with the competencies required 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 conducted in Serbia (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 Serbia guides professionals through the process of containerizing complete ML pipelines using Docker. Participants will master the creation of reproducible environments, the orchestration of training and inference workloads, and the implementation of CI/CD for scalable MLOps deployments.
Read more...

Docker and Kubernetes

 21 Hours

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

Read more...

Docker and Kubernetes advanced

 35 Hours

The "Advanced Docker and Kubernetes" course is a comprehensive training program covering the Kubernetes platform and its ecosystem. It caters to participants with various levels of experience, providing a full range of basic and advanced Kubernetes functionalities. Key concepts include Containers, Labels, Controllers, Services, Secrets, Persistent Volumes, Namepaces, Quotas, Container Network Model, Service Discovery, Scaling, Load Balancing, Cluster Management, Kubernetes Installation, Cluster Security, Access Control, High Availability, Monitoring and Logging, Auto-arranging Applications, Advanced Scheduling, Microservice-based Applications, Application Design Patterns, and Deploying Applications on a Kubernetes Cluster.

Read more...

GPU-Accelerated AI & Deep Learning with Docker Containers

 21 Hours
This instructor-led training in Serbia enables intermediate professionals to configure and optimize GPU-enabled AI workloads within Docker containers. Learners will acquire the skills to build CUDA-compatible images, manage multi-GPU tasks, and deploy scalable deep learning services suitable for production environments.
Read more...

Hybrid AI Deployment: Docker, Cloud, and Edge Integration

 21 Hours
This live instructor-led session on Serbia focuses on executing AI inference across cloud, on-premise, and edge ecosystems using Docker. Learners will acquire the skills to construct secure containerized AI services, integrate orchestration platforms, and fine-tune latency and resilience for distributed workloads.
Read more...

Kubernetes from Basic to Advanced

 14 Hours

In this instructor-led, live training in Serbia (onsite or remote), participants will learn how to deploy sample servers inside containers, then automate, scale, and manage these containerized servers within a Kubernetes cluster. The training progresses 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.
  • Establish a Docker and Kubernetes cluster.
  • Utilize Kubernetes to deploy and manage various environments within the same cluster.
  • Secure, scale, and monitor a Kubernetes cluster.
Read more...

Related Categories

Docker
Docker