Building Microservices with Spring Cloud and Docker Training Course

This instructor-led, live training in Serbia (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 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.

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

• Create custom Docker images.
• Deploy and manage a high volume of Docker applications.
• Assess various container orchestration solutions and select the most appropriate option.
• Establish a continuous integration pipeline for Docker applications.
• Integrate Docker applications with existing continuous integration workflows.
• Enhance the security of Docker applications.
• Leverage Kubernetes to deploy and manage multiple environments within a single cluster.
• Secure, scale, and monitor Kubernetes clusters.

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

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

Upon completing this course, participants will be able to:

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

Course Format

• Concept demonstrations accompanied by guided discussions.
• Hands-on exercises focused 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 it.

CI/CD for AI provides a structured methodology for automating the packaging, testing, containerization, and deployment of models through continuous integration and delivery pipelines.

This instructor-led training, available online or onsite, is designed for intermediate professionals seeking to automate end-to-end AI model delivery workflows using Docker and CI/CD platforms.

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

• Establish automated pipelines for constructing and testing AI model containers.
• Implement version control and reproducibility measures throughout the model lifecycle.
• Integrate automated deployment strategies for AI services.
• Apply CI/CD best practices specifically tailored to 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

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

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

Today, Kubernetes stands as a leading platform for container orchestration.

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 been helping our customers validate 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, so we recommend participation 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.
• To learn more 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 provides a comprehensive platform for developers and system administrators to manage distributed applications. It features a runtime environment for executing containers and a service that facilitates the sharing of container images.

With Docker, applications can be deployed and run identically across various environments, including local laptops, dedicated servers, and virtual machines, without modification.

Over the first two days, this course covers the fundamental usage of Docker, offering value to both software developers and IT operations professionals. The training emphasizes practical, hands-on exercises, allowing participants to configure their own Docker environment and create custom Docker images.

On the final day, participants will explore advanced tools that extend Docker's capabilities, including Docker Machine, Docker Compose, and Docker Swarm.

This instructor-led, live training in Serbia (online or onsite) is tailored for engineers who want to use Docker to deploy and manage software as containers instead of traditional stand-alone software.

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.

Docker serves as a platform designed for developers and system administrators to manage distributed applications. It comprises a runtime environment for executing containers and a service that facilitates the sharing of these containers.

Thanks to Docker, the same application can operate seamlessly on laptops, dedicated servers, and virtual machines without requiring modifications.

This course covers the fundamental usage of Docker, offering value to both developers and system administrators. The program features numerous practical exercises, allowing participants to work within their own Docker environments and create their own Docker images over the course of two days.

This instructor-led, live training in Serbia (online or onsite) is aimed at intermediate-level Java developers who wish to design, develop, deploy, and maintain microservices-based applications using Java frameworks like Spring Boot and Spring Cloud.

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

• Understand the principles and benefits of microservices architecture.
• Build and deploy microservices using Java and Spring Boot.
• Implement service discovery, configuration management, and API gateways.
• Secure, monitor, and scale microservices effectively.
• Deploy microservices using Docker and Kubernetes.

In this instructor-led live training at Serbia, participants will learn how to evaluate different technologies and approaches for designing service-based system architectures. The training begins with a discussion and comparison of monolithic systems and service architectures, then dives into the specifics of microservice architecture.

Participants will have the opportunity to apply their knowledge by stepping through the creation and deployment of a set of proof-of-concept microservices built with Spring Cloud, Spring Boot, and Docker.
Furthermore, relevant infrastructure building blocks are examined to help participants determine the most suitable tools and approaches for different organizational requirements.
By the end of this training, participants will have a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture, as well as practical experience using Spring Cloud and related Spring technologies for rapidly developing their own cloud-scale, cloud-ready microservices.

This instructor-led, live training in Serbia (online or onsite) is designed for intermediate developers and DevOps engineers aiming to build, deploy, and manage microservices utilizing Spring Cloud and Docker.

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

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

In this instructor-led live training conducted in Serbia, we commence with an exploration of microservice architecture. Participants will have their knowledge assessed through exercises and the incremental development of sample microservices.

By the conclusion of the training, participants will possess a solid grasp of how to employ Spring Cloud and related Spring technologies to efficiently develop their own cloud-scale, cloud-ready microservices.

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

Upon completing this training, participants will be equipped to:

• Configure the essential development environment for building microservices.
• Design and implement a highly concurrent microservices ecosystem utilizing Spring Cloud, Kafka, Redis, Docker, and Kubernetes.
• Migrate monolithic and SOA services into a microservice-based architecture.
• Apply DevOps principles to software development, testing, and release processes.
• Maintain high concurrency among microservices in production environments.
• Monitor microservices and establish effective recovery strategies.
• Perform performance tuning.
• Explore future trends in microservices architecture.

Spring Cloud is an open-source, lightweight framework designed for building microservices-based Java applications in cloud environments. Netflix OSS comprises a collection of frameworks and libraries dedicated to microservice development. Spring Cloud integrates seamlessly with Netflix components, leveraging auto-configuration and convention-over-configuration principles.

This instructor-led live training introduces participants to the core concepts of constructing microservices using Spring Cloud and Netflix OSS. Knowledge is reinforced through practical exercises and the step-by-step creation of sample microservices.

Upon completion, participants will possess a robust understanding of how to leverage Spring Cloud, alongside related Spring technologies and Netflix OSS, to rapidly develop scalable, cloud-ready microservices.

Audience

• Java Developers

Course Format

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