Building Microservices with Spring Cloud and Docker Training Course

This instructor-led, live training in South Korea (online or onsite) is designed for engineers looking to advance their Docker knowledge 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 manage a 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 for AI and machine learning workloads.

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

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

• Create and manage Docker images specifically tailored for AI and ML applications.
• Containerize machine learning pipelines, tools, and dependencies.
• Optimize Docker environments for 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 real-world containerization tasks.
• Practical implementation using live-lab Docker environments.

Course Customization Options

• To tailor this training to your organizational needs, please contact us to arrange a session.

CI/CD for AI is a structured approach to automating model packaging, testing, containerization, and deployment using continuous integration and continuous delivery pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

As the training concludes, participants will be able to:

• Create automated pipelines for building and testing AI model containers.
• Implement version control and reproducibility for model lifecycles.
• Integrate automated deployment strategies for AI services.
• Apply CI/CD best practices tailored to machine learning operations.

Format of the Course

• Instructor-guided presentations and technical discussions.
• Practical labs and hands-on implementation exercises.
• Realistic CI/CD workflow simulations in a controlled environment.

Course Customization Options

• If your organization requires customized pipeline workflows or platform integrations, please contact us to tailor this course.

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

Kubernetes has emerged as the leading platform for container orchestration today.

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have established ourselves as one of the most recognized training companies 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 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; therefore, we recommend participating even if you do not intend 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 it.
• To learn more about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) certification was established by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the organization responsible for Kubernetes.

This instructor-led, live training—available either online or on-site—is designed for developers who wish to validate their proficiency in designing, building, configuring, and exposing cloud-native applications within Kubernetes environments.

Moreover, the program emphasizes practical, hands-on experience in Kubernetes application development. Therefore, we recommend participating in this course 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 established ourselves as one of the leading training providers globally in the field of containerization. Since 2019, we have also supported our clients in validating their performance in Kubernetes environments by preparing them to pass the CKA and CKAD examinations.

Course Format

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

Course Customization Options

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

Docker is a platform designed for developers and system administrators to manage distributed applications. It features a runtime environment for executing containers along with services that facilitate the sharing of these containers.

With Docker, the same application can run without modification across laptops, dedicated servers, and virtual servers.

During the first two days, this course covers the fundamental usage of Docker, which is beneficial for both developers and system administrators. The curriculum includes numerous hands-on exercises, allowing participants to practice within their own Docker environments and create their own Docker images.

On the final day, participants will explore advanced tools that complement Docker, including Docker Machine, Docker Compose, and Docker Swarm.

This instructor-led, live training in South Korea (online or onsite) is designed for engineers who wish to use Docker to deploy and manage software as containers instead of as traditional standalone software.

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

• Install and configure Docker.
• Understand and implement software containerization.
• Manage Docker-based applications.
• Connect various Docker applications and systems.
• Understand and modify Docker registries.

Docker serves as a platform enabling developers and system administrators to manage distributed applications effectively. It features a runtime for executing containers alongside a service designed for sharing them.

With Docker, applications can run identically across laptops, dedicated servers, and virtual machines without modification.

This course covers the fundamental usage of Docker, providing value to both developers and system administrators. The curriculum includes extensive hands-on exercises, allowing participants to practice within their own Docker environments and create their own Docker images over the course of two days.

This instructor-led live training, offered online or onsite, targets DevOps engineers who aim to optimize and streamline their CI/CD processes using Docker and Jenkins.

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

• Automate code delivery and pipeline deployment with Jenkins.
• Develop applications using Docker and Dockerfiles.
• Set up authentication mechanisms to bolster security.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate Java developers aiming to design, develop, deploy, and maintain microservices-based applications using Java frameworks such as Spring Boot and Spring Cloud.

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

• Comprehend the fundamental principles and advantages of microservices architecture.
• Build and deploy microservices using Java and Spring Boot.
• Implement service discovery, configuration management, and API gateways.
• Effectively secure, monitor, and scale microservices.
• Deploy microservices using Docker and Kubernetes.

In this instructor-led live training, participants will learn how to evaluate various technologies and approaches for designing service-based system architectures. The training initiates with a discussion and comparison of monolithic systems versus service architectures, before delving into the specifics of microservice architecture.

Participants will have the opportunity to apply their learning by stepping through the creation and deployment of proof-of-concept microservices using Spring Cloud, Spring Boot, and Docker.
Subsequently, relevant infrastructure building blocks are analyzed to assist participants in determining the best tools and approaches for diverse organizational requirements.
By the end of this training, participants will gain a solid grasp of Service-Oriented Architecture (SOA) and Microservice Architecture, coupled with practical experience using Spring Cloud and associated Spring technologies to swiftly develop their own cloud-scale, cloud-ready microservices.

This instructor-led, live training in South Korea (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, 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.

In this instructor-led live training in South Korea, we commence with an overview of microservice architecture. Participants will demonstrate their understanding through exercises and the incremental development of sample microservices.

By the end of the training, participants will have a robust grasp of how to utilize Spring Cloud and related Spring technologies to swiftly develop cloud-scale, cloud-ready microservices.

This instructor-led live training in South Korea (online or onsite) targets developers who wish to transition from traditional architecture to a highly concurrent, microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes, and Redis.

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

• Establish the necessary development environment for building microservices.
• Design and implement a highly concurrent microservices ecosystem leveraging Spring Cloud, Kafka, Redis, Docker, and Kubernetes.
• Migrate monolithic and SOA services to a microservices-based architecture.
• Embrace a DevOps approach for software development, testing, and release.
• Ensure high concurrency among microservices in production environments.
• Monitor microservices and implement effective recovery strategies.
• Perform performance tuning.
• Gain insights into future trends in microservices architecture.

Spring Cloud serves as a lightweight, open-source framework designed for constructing cloud-native Java applications. Netflix OSS provides a comprehensive suite of libraries and frameworks specifically tailored for microservice development. Spring Cloud seamlessly integrates with Netflix components by leveraging auto-configuration and convention-over-configuration principles.

This instructor-led live training guides participants through the core principles of developing microservices using Spring Cloud and Netflix OSS. Through practical exercises and the step-by-step creation of sample microservices, learners will apply and reinforce their knowledge.

Upon completion of this training, participants will possess a robust understanding of how to combine Spring Cloud and associated Spring technologies with Netflix OSS to swiftly develop cloud-ready, scalable microservices.

Audience

• Java Developers

Format of the course

• A blend of lectures and discussions, supplemented by exercises and extensive hands-on practice