Get in Touch
 Duration 14 hours

Course Outline

Foundations of Containerization for AI & ML

  • Essential concepts of containerization
  • The suitability of containers for ML workloads
  • Distinguishing between containers and virtual machines

Handling Docker Images and Containers

  • Comprehending images, layers, and registries
  • Administering containers for ML experimentation
  • Efficient utilization of the Docker CLI

Encapsulating ML Environments

  • Getting ML codebases ready for containerization
  • Managing Python environments and associated dependencies
  • Incorporating CUDA and GPU support

Creating Dockerfiles for Machine Learning

  • Organizing Dockerfiles for ML projects
  • Best practices for performance and maintainability
  • Leveraging multi-stage builds

Containerizing ML Models and Pipelines

  • Encapsulating trained models into containers
  • Managing data and storage strategies
  • Launching reproducible end-to-end workflows

Executing Containerized ML Services

  • Exposing API endpoints for model inference
  • Scaling services using Docker Compose
  • Monitoring runtime behavior

Security and Compliance Aspects

  • Guaranteeing secure container configurations
  • Managing access controls and credentials
  • Protecting confidential ML assets

Launching in Production Environments

  • Releasing images to container registries
  • Deploying containers in on-prem or cloud architectures
  • Versioning and updating production services

Recap and Future Directions

Requirements

  • A solid grasp of machine learning workflows
  • Proficiency in Python or comparable programming languages
  • Basic knowledge of Linux command-line operations

Target Audience

  • ML engineers responsible for deploying models into production
  • Data scientists tasked with maintaining reproducible experimental environments
  • AI developers constructing scalable, container-based applications

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

Containerized AI & ML Deployment with Docker

2026-11-20 09:30
14 hours
Taipei Walsin Xinyi
19800 NT$ (Online)
19800 NT$ (Classroom)

Containerized AI & ML Deployment with Docker

2026-12-04 09:30
14 hours
Taichung, Global
19800 NT$ (Online)
145800 NT$ (Classroom)

Containerized AI & ML Deployment with Docker

2026-12-18 09:30
14 hours
The Hsinchu Wishun centre
19800 NT$ (Online)
19800 NT$ (Classroom)

Containerized AI & ML Deployment with Docker

2027-01-01 09:30
14 hours
Taipei, Aurora
19800 NT$ (Online)
19800 NT$ (Classroom)

Related Courses

Advanced Docker

 14 Hours

This instructor-led live training in Taiwan, delivered either online or on-site, empowers engineers to deepen their understanding of Docker for large-scale application deployment with maintained control.

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

  • Create bespoke Docker images.
  • Deploy and oversee numerous Docker applications.
  • Evaluate container orchestration solutions to select the best fit.
  • Configure continuous integration pipelines for Docker applications.
  • Integrate Docker applications with current continuous tooling workflows.
  • Implement security measures for Docker applications.
Read more...

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

 21 Hours
This live training on Taiwan focuses on automating Docker-based AI model builds and releases using CI/CD. It addresses packaging, testing, version management, and deployment tactics for MLOps, equipping participants with practical skills in pipeline construction and secure container management.
Read more...

Certified Kubernetes Administrator (CKA) - exam preparation

 21 Hours
This instructor-led live training in Taiwan focuses on the Certified Kubernetes Administrator (CKA) exam. It offers practical experience with Kubernetes architecture, networking, security, and troubleshooting. It is ideally suited for administrators aiming for 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 Taiwan prepares developers for the Certified Kubernetes Application Developer exam through hands-on labs. It covers designing, building, and securing cloud-native apps using core Kubernetes concepts, deployment strategies, and networking fundamentals.
Read more...

Introduction to Docker

 14 Hours
This live, instructor-led training in Taiwan explores the fundamental principles of Docker, enabling participants to automate the cycle of building, distributing, and running containerized applications. You will develop practical competencies in Docker installation, image oversight, 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

Through this instructor-led, live training in Taiwan (onsite or remote), participants will learn to create and manage Docker containers and deploy a sample application within one. Attendees will also gain skills in automating, scaling, and managing containerized applications using a Kubernetes cluster. The training concludes with advanced topics, guiding participants through the processes of securing, scaling, and monitoring a Kubernetes cluster.

Upon completing this training, participants will be able to:

  • Set up and operate a Docker container.
  • Deploy a containerized server and web application.
  • Build and manage Docker images.
  • Configure a Docker and Kubernetes cluster.
  • Utilize 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 Taiwan guides professionals through the process of containerizing complete ML pipelines using Docker. Participants will gain expertise in building reproducible environments, orchestrating training and inference workloads, and implementing CI/CD for scalable MLOps deployments.
Read more...

Docker and Kubernetes

 21 Hours

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

Read more...

GPU-Accelerated AI & Deep Learning with Docker Containers

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

Hybrid AI Deployment: Docker, Cloud, and Edge Integration

 21 Hours
This live, instructor-led training on Taiwan focuses on deploying AI inference across cloud, on-premise, and edge environments using Docker. Participants will master building secure containerized AI services, integrating orchestration tools, and optimizing latency and resilience for distributed workloads.
Read more...

Kubernetes from Basic to Advanced

 14 Hours

In this instructor-led live training at Taiwan (onsite or remote), participants will learn how to deploy sample servers within containers and subsequently automate, scale, and manage these containerized servers inside a Kubernetes cluster. The training advances to more complex subjects, walking participants through the steps to secure, network, and monitor 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 in Taiwan, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Participant knowledge will be assessed through exercises and the step-by-step development of sample microservices.

By the end 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 Taiwan (online or onsite) targets intermediate-level developers and DevOps engineers aiming to build, deploy, and manage microservices using Spring Cloud and Docker.

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

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

OpenShift Administration Fundamentals

 35 Hours

OpenShift is a leading Kubernetes-based platform 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 best practices for security, networking, and storage. Through practical exercises, participants acquire the skills necessary to confidently manage production-ready OpenShift environments.

Read more...

Related Categories

Docker
Docker