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

This instructor-led live training in Vietnam (online or onsite) targets engineers who wish to advance their knowledge of Docker 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.

Docker serves as a containerization platform that facilitates consistent, portable, and reproducible environments specifically designed for AI and machine learning workloads.

This instructor-led live training, available either online or onsite, is designed for intermediate-level professionals seeking to package ML codebases, dependencies, and models using Docker to ensure reliable workflows from development through production.

Upon completion of this course, participants will gain the capability to:

• Create and manage Docker images specifically tailored for AI and ML applications.
• Encapsulate machine learning pipelines, tools, and their dependencies within containers.
• Optimize Docker environments to enhance both performance and portability.
• Deploy containerized ML services across various runtime environments.

Course Format

• Concept demonstrations accompanied by guided discussions.
• Hands-on exercises centered on practical, real-world containerization tasks.
• Practical implementation utilizing live-lab Docker environments.

Customization Options

• To tailor this training to your specific organizational environment, please reach out to us to make arrangements.

CI/CD for AI represents a systematic method for automating the packaging, testing, containerization, and deployment of models through continuous integration and delivery pipelines.

This instructor-led live training, available online or on-site, targets intermediate professionals aiming to streamline end-to-end AI model delivery workflows using Docker and CI/CD platforms.

Upon completing the training, participants will be equipped to:

• Establish automated pipelines for building and testing AI model containers.
• Enforce version control and reproducibility throughout model lifecycles.
• Incorporate automated deployment strategies for AI services.
• Apply CI/CD best practices specifically adapted for machine learning operations.

Course Format

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

Customization Options

• For organizations needing customized pipeline workflows or specific platform integrations, please reach out to tailor this course to your requirements.

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

Kubernetes has become a leading platform for container orchestration.

Since 2015, NobleProg has been providing Docker & Kubernetes training. With over 360 successfully completed training projects, we have established ourselves as 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 Kubernetes environments by preparing 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; therefore, we recommend participating even if you do not plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• 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.
• For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) program has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the host of Kubernetes.

This instructor-led, live training (online or onsite) is aimed at Developers who wish to confirm their skills in design, build, configure, and expose cloud native applications for Kubernetes.

On the other hand, training is also focused on gaining practical experience in Kubernetes application development, so we recommend taking part in it, even if you don't intend to take CKAD exam.

NobleProg have been delivering Docker & Kubernetes training from 2015. With more than 360 successfully completed training projects, we became one of the best known training company worldwide in field of containerization. Since 2019 we are also helping our customers to confirm their performance in k8s environment by preparing them and encouraging to pass CKA and CKAD exams.

Format of the Course

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

Course Customization Options

• To request a 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 construction, delivery, and operation of applications within containers.

This instructor-led live training (available online or on-site) targets engineers who want to utilize Docker for deploying and managing software as containers rather than traditional standalone applications.

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

• Install and configure Docker.
• Grasp the principles of software containerization and apply them effectively.
• Manage applications built on Docker.
• Network various Docker applications and systems together.
• Understand and modify Docker registries.

Course Format

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

Customization Options

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

Discover 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 will acquire the skills necessary to operate modern container platforms and troubleshoot applications across both development and production environments.

This instructor-led, live training in Vietnam (onsite or remote) teaches participants how to create and manage Docker containers, followed by deploying a sample application within one. Participants will also learn how to automate, scale, and manage containerized applications inside a Kubernetes cluster. Finally, the training advances to more complex topics, guiding participants through the processes 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.

Docker serves as a containerization platform essential for establishing reproducible, portable, and scalable environments within Machine Learning systems.

Designed for intermediate to advanced technical professionals, this live, instructor-led course—available online or on-site—focuses on the containerization and operationalization of comprehensive ML pipelines using Docker.

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

• Encapsulate ML training, validation, and inference workloads into containers.
• Architect and manage end-to-end ML pipelines utilizing Docker and complementary tools.
• Establish version control, reproducibility, and CI/CD practices for ML components.
• Deploy, oversee, and scale ML services within containerized infrastructures.

Instructional Approach

• Engaging lectures complemented by live practical demonstrations.
• Practical exercises dedicated to constructing genuine ML pipeline elements.
• Real-time lab sessions for executing fully containerized workflows.

Tailored Learning Options

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

Training objectives: Gain theoretical and practical skills in Docker and Kubernetes.

Accelerating deep learning tasks with GPUs is critical for achieving high performance in a scalable and efficient manner.

This live, instructor-led session—available online or onsite—is designed for mid-level technical experts looking to configure, fine-tune, and execute GPU-powered AI workloads within Docker containers.

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

• Construct and operate GPU-capable containers for both training and inference phases.
• Set up CUDA, drivers, and runtime libraries tailored for containerized AI processes.
• Refine resource distribution and isolation strategies for GPU-heavy applications.
• Implement scalable, container-based deep learning services in production settings.

Course Structure

• Engaging lessons reinforced by practical, real-world examples.
• Practice sessions centered on GPU-integrated development.
• Practical implementation within a live lab setting.

Customization Opportunities

• To align training with your specific infrastructure or GPU stack, please reach out to us for arrangements.

Hybrid AI deployment involves executing AI inference across cloud, on-premise, and edge environments by leveraging unified container-based workflows.

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

After completing this training, participants will be equipped to:

• Create secure and scalable containerized AI services for multi-site deployments.
• Distribute AI inference workloads to cloud platforms, local servers, and edge devices using Docker.
• Utilize orchestration tools to automate distributed AI operations.
• Enhance inference latency, reliability, and resilience across varied infrastructure.

Course Format

• Guided presentations accompanied by expert-led discussions.
• Extensive hands-on practice with applied exercises.
• Real-world experimentation in a controlled live-lab environment.

Customization Options

• To tailor this course to your organization’s specific infrastructure or use cases, please reach out for customization services.

In this instructor-led live training in Vietnam (onsite or remote), participants will learn how to deploy a set of sample servers inside containers, then automate, scale, and manage these containerized servers within a Kubernetes cluster. The training progresses to advanced topics, guiding participants through the processes of securing, networking, and monitoring a Kubernetes cluster.

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

• Set up and run Docker containers.
• Deploy containerized databases and servers.
• Configure a Docker and Kubernetes cluster.
• Utilize Kubernetes to deploy and manage distinct environments within the same cluster.
• Secure, scale, and monitor a Kubernetes cluster.

In this instructor-led live training in Vietnam, participants will learn the essentials of building microservices using Spring Cloud and Docker. Participants' understanding will be assessed through exercises and the step-by-step creation 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 Vietnam (online or onsite) targets intermediate-level developers and DevOps engineers who want to build, deploy, and manage microservices using Spring Cloud and Docker.

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