Containerized AI & ML Deployment with Docker Training Course

This instructor-led, live training in Taiwan (online or onsite) is aimed at engineers who wish to advance their knowledge of Docker so as to deploy applications at a larger scale while maintaining control.

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

• Build their own Docker images.
• Deploy and manager large number of Docker applications .
• Evaluate different container orchestration solutions and choose the most suitable one.
• Set up a continuous integration process for Docker applications.
• Integrate Docker applications with existing continuous tools integration processes.
• Secure their Docker applications.

CI/CD for AI represents a systematic methodology designed to automate the packaging, testing, containerization, and deployment of models through continuous integration and continuous delivery pipelines.

This instructor-led live training session, available either online or onsite, targets intermediate-level professionals seeking to streamline end-to-end AI model delivery workflows utilizing Docker alongside CI/CD platforms.

Upon completing the training, participants will gain the ability to:

• Establish automated pipelines for constructing and testing AI model containers.
• Enforce version control and reproducibility standards throughout the model lifecycle.
• Incorporate automated deployment strategies specifically for AI services.
• Apply CI/CD best practices tailored to machine learning operations.

Course Format

• Guided technical discussions and presentations led by the instructor.
• Practical labs featuring hands-on implementation exercises.
• Realistic simulations of CI/CD workflows within a controlled environment.

Customization Options for the Course

• If your organization requires customized pipeline workflows or specific platform integrations, please reach out to us to tailor this course accordingly.

The Certified Kubernetes Administrator (CKA) program was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).

Kubernetes has emerged as a leading platform for container orchestration.

NobleProg has been delivering Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most renowned training providers globally in the field of containerization.

Since 2019, we have also been assisting our customers in validating their performance in k8s environments by preparing them for and encouraging them to pass the CKA and CKAD exams.

This instructor-led, live training (available online or onsite) is designed for System Administrators and Kubernetes users who wish to validate their knowledge by passing the CKA exam.

Additionally, the training focuses on gaining practical experience in Kubernetes Administration, so we recommend participating even if you do not intend to take the CKA exam.

Course Format

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) credential was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the governing body for Kubernetes.

This instructor-led live training (available online or onsite) is designed for developers who want to validate their ability to design, build, configure, and expose cloud-native applications on Kubernetes.

Additionally, the training emphasizes practical experience in Kubernetes application development, so we highly recommend attending even if you do not plan to take the CKAD exam.

NobleProg has been providing Docker and Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training providers globally in the field of containerization. Since 2019, we have also helped our customers validate their performance in Kubernetes environments by preparing and encouraging them to pass the CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.
• To learn more about CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

Docker is an open-source platform designed to automate the process of building, shipping, and running applications within containers.

This instructor-led live training (available online or onsite) is tailored for engineers who want to use Docker to deploy and manage software as containers rather than traditional standalone applications.

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

• Install and configure Docker.
• Understand and implement software containerization.
• Manage Docker-based applications.
• Network different Docker applications and systems.
• Understand and edit Docker registries.

Format of the Course

• Interactive lecture and discussion.
• Plenty of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.
• To learn more about Docker, please visit: https://www.docker.com

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.

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.

Docker serves as a robust containerization platform, enabling the creation of consistent, mobile, and scalable environments for machine learning systems.

This instructor-led, live training session (available online or onsite) is designed for technical professionals ranging from intermediate to advanced levels who aim to operationalize and containerize complete ML pipelines using Docker.

By the end of this course, participants will be equipped to:

• Containerize ML workloads for training, validation, and inference.
• Architect and orchestrate end-to-end ML pipelines leveraging Docker and complementary tools.
• Establish versioning, reproducibility, and CI/CD practices for ML components.
• Deploy, monitor, and scale ML services within containerized infrastructures.

Course Format

• Engaging lectures complemented by practical demonstrations.
• Hands-on exercises dedicated to constructing real-world ML pipeline components.
• Live laboratory sessions implementing end-to-end containerized workflows.

Customization Options

• For training tailored to specific ML infrastructure requirements, please reach out to discuss available options.

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

To execute high-performance deep learning tasks efficiently and at scale, GPU acceleration is a critical requirement.

Delivered either online or onsite, this live, instructor-led program is designed for mid-level technical experts aiming to master the configuration, optimization, and execution of GPU-enabled AI workloads within Docker containers.

Upon completion, participants will gain the proficiency to:

• Develop and execute GPU-enabled containers for both model training and inference.
• Set up CUDA, drivers, and runtime libraries for containerized AI pipelines.
• Refine resource distribution and isolation strategies for GPU-heavy applications.
• Launch scalable, containerized deep learning services in production settings.

Course Structure

• Engaging instruction enhanced by practical, real-world examples.
• Exercise-based practice centered on GPU-centric development.
• Practical application in a live laboratory setting.

Customization Availability

• For training tailored to your specific infrastructure or GPU stack, please reach out to discuss custom arrangements.

Hybrid AI deployment refers to the execution of AI inference across cloud, on-premises, and edge environments using unified container-based workflows.

This instructor-led live training (available online or onsite) is designed for advanced professionals who aim to design and deploy distributed AI inference systems within heterogeneous environments.

Upon completing this course, participants will be able to:

• Construct secure and scalable containerized AI services for multi-site environments.
• Deploy AI inference workloads to the cloud, local servers, and edge devices utilizing Docker.
• Integrate orchestration tools to automate distributed AI operations.
• Optimize inference latency, reliability, and resilience across diverse infrastructure.

Course Format

• Guided presentations and expert-led discussions.
• Extensive hands-on practice and applied exercises.
• Real-world experimentation in a controlled live-lab setup.

Customization Options

• To tailor this course to align with your organization’s infrastructure or specific use cases, please contact us for customization.

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.

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.

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.

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.