Building Microservices with Spring Cloud and 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.

Docker serves as a containerization platform designed to establish consistent, portable, and reproducible environments for artificial intelligence and machine learning applications.

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

Upon completing this course, participants will be able to:

• Create and manage Docker images specifically designed for AI and ML applications.
• Containerize machine learning pipelines, tools, and their dependencies.
• Optimize Docker environments for enhanced performance and portability.
• Deploy containerized ML services across various runtime environments.

Course Format

• Concept demonstrations supported by guided discussion.
• Hands-on exercises focused on real-world containerization tasks.
• Practical implementation using live-lab Docker environments.

Customization Options

• To tailor this training to your organization's specific needs, please contact us to make arrangements.

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

This instructor-led live training, available both online and onsite, targets intermediate-level professionals aiming to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

Upon completing the training, participants will be able to:

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

Course Format

• 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

• For organizations requiring customized pipeline workflows or specific platform integrations, please contact us to tailor this course to your needs.

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 serves as a platform enabling developers and system administrators to manage distributed applications. It comprises a runtime environment for executing containers and a service facilitating the sharing of containers.

Using Docker, the same application can operate without modification across laptops, dedicated servers, and virtual machines.

During the first two days, this course covers the fundamental usage of Docker, offering value to both developers and system administrators. The curriculum features numerous hands-on exercises, allowing participants to practice within their own Docker environments and construct their own Docker images.

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

This instructor-led, live training in Taiwan (online or on-site) is targeted at engineers who want to adopt Docker for deploying and managing software as containers rather than as traditional standalone applications.

Upon completion 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.

Docker is a platform that enables developers and system administrators to manage distributed applications. It comprises a runtime environment for executing containers and a service facilitating container sharing.

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

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

This instructor-led, live training in Taiwan (online or onsite) is aimed at DevOps engineers who wish to optimize and simplify the CI/CD process with Docker and Jenkins.

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

• Automate code delivery and pipeline deployment with Jenkins.
• Build an application using Docker and Docker File.
• Configure authentication options to strengthen security.

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level Java developers who aspire to design, develop, deploy, and maintain microservices-based applications utilizing Java frameworks such as Spring Boot and Spring Cloud.

Upon completion of this training, participants will be capable of:

• Grasping the principles and advantages of microservices architecture.
• Constructing and deploying microservices using Java and Spring Boot.
• Implementing service discovery, configuration management, and API gateways.
• Effectively securing, monitoring, and scaling microservices.
• Deploying microservices utilizing Docker and Kubernetes.

In this instructor-led, live training in Taiwan, participants will learn to evaluate various technologies and methodologies for designing a service-oriented system architecture. The session begins by discussing and comparing monolithic systems with service architectures, then delves into the intricacies of microservice architecture.

Participants will have the opportunity to apply their knowledge by creating and deploying a set of proof-of-concept microservices using Spring Cloud, Spring Boot, and Docker.
Furthermore, the course examines essential infrastructure components to help participants identify the most appropriate tools and approaches for diverse organizational needs.
Upon completion of this training, participants will possess a robust understanding of Service-Oriented Architecture (SOA) and Microservice Architecture, along with practical experience utilizing Spring Cloud and related Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.

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.

In this instructor-led, live training in Taiwan, we begin by discussing microservice architecture. Participants will have their knowledge challenged through exercises and the incremental development of sample microservices.

By the end of this training, participants will have a thorough understanding of how to use Spring Cloud and related Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.

This instructor-led, live training in Taiwan (online or onsite) is aimed at developers who wish to transform traditional architecture into a highly concurrent microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes and Redis.

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

• Set up the necessary development environment for building microservices.
• Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker and Kubernetes.
• Transform monolithic and SOA services to microservice based architecture.
• Adopt a DevOps approach to developing, testing and releasing software.
• Ensure high concurrency among microservices in production.
• Monitor microservices and implement recovery strategies.
• Carry out performance tuning.
• Learn about future trends in microservices architecture.

Spring Cloud is an open-source, lightweight framework designed for building microservices in Java applications for the cloud. Netflix OSS provides a collection of frameworks and libraries to support microservices development. Spring Cloud seamlessly integrates with Netflix components by leveraging auto-configuration and convention over configuration.

In this instructor-led live training, participants will explore the core concepts of building microservices using Spring Cloud and Netflix OSS. Knowledge is reinforced through practical exercises and the step-by-step creation of sample microservices.

By the end of this course, participants will gain a robust understanding of how to leverage Spring Cloud and related Spring technologies alongside Netflix OSS to rapidly develop cloud-scale, cloud-ready microservices.

Audience

• Java Developers

Course Format

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