Building Microservices with Spring Cloud and Docker Training Course

This instructor-led, live training in Uzbekistan (online or on-site) is intended for engineers who wish to deepen their Docker expertise to deploy applications at scale while maintaining full control.

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

• Build their own Docker images.
• Deploy and manage large numbers of Docker applications.
• Evaluate various container orchestration solutions and select the most appropriate one.
• Establish a continuous integration pipeline for Docker applications.
• Integrate Docker applications with existing continuous integration tooling.
• Secure their Docker applications.

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

• Creating custom Docker images.
• Deploying and managing a large number of Docker applications.
• Evaluating various container orchestration solutions to select the most appropriate one.
• Establishing a continuous integration process for Docker applications.
• Integrating Docker applications with existing continuous integration toolchains.
• Implementing security measures for Docker applications.
• Utilizing Kubernetes to deploy and manage diverse environments within a single cluster.
• Securing, scaling, and monitoring a Kubernetes cluster.

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 both online and on-site, is designed for intermediate-level professionals aiming to package machine learning codebases, dependencies, and models using Docker to ensure reliable workflows from development to production.

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

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

Course Format

• Concept demonstrations reinforced by guided discussions.
• Practical exercises focused on real-world containerization scenarios.
• Hands-on implementation using live-lab Docker environments.

Customization Options

• To tailor this training to your organization's specific needs, please contact us to arrange a customized session.

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

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

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

• Build automated pipelines for constructing and testing AI model containers.
• Establish version control and reproducibility for model lifecycles.
• Incorporate automated deployment strategies for AI services.
• Apply CI/CD best practices customized 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

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

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

Kubernetes has become the 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 assisting our customers in validating their performance in Kubernetes environments by preparing them to take and 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.
• 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, the training also focuses on gaining practical experience in Kubernetes application development, so we recommend participating even if you do not intend to take the CKAD exam.

NobleProg has been delivering Docker & Kubernetes training since 2015. With more than 360 successfully completed training projects, we have become one of the best-known training companies worldwide in the field of containerization. Since 2019, we have also been helping our customers validate their performance in k8s environments by preparing them and encouraging them to pass CKA and CKAD exams.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized version of 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 a platform designed for developers and system administrators to manage distributed applications. It features a runtime for executing containers and a service for sharing container images.

With Docker, the same application can run seamlessly on laptops, dedicated servers, and virtual machines without any modifications.

During the first two days of this course, participants will learn the fundamental usage of Docker, which is beneficial for both developers and system administrators. The curriculum includes numerous hands-on exercises where participants will practice in their own Docker environment 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 Uzbekistan (online or onsite) is aimed at engineers who wish to use Docker to deploy and manage software as containers instead of as traditional stand-alone software.

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

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

Docker serves as a platform for developers and system administrators to manage distributed applications. It includes a runtime for executing containers and a service for distributing them.

With Docker, the same application can operate unchanged across laptops, dedicated servers, and virtual machines.

This course covers the fundamental usage of Docker, providing value to both developers and system administrators. The program features extensive hands-on exercises, allowing participants to practice in their own Docker environment and create custom Docker images over the course of two days.

This instructor-led, live training in Uzbekistan (online or onsite) is tailored for intermediate-level Java developers aiming 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 in Uzbekistan, participants will learn to evaluate different technologies and approaches for designing a service-based system architecture. The training begins with a discussion and comparison of monolithic systems and service architectures, followed by a detailed exploration of microservice architecture.

Participants will have the chance to put their knowledge into practice by creating and deploying a set of proof-of-concept microservices using Spring Cloud, Spring Boot, and Docker.
Finally, the training will examine relevant infrastructure components to help participants determine the most suitable tools and approaches for their organizational requirements.
By the end of the training, participants will have a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture, along with practical experience using Spring Cloud and related Spring technologies to rapidly develop cloud-scale, cloud-ready microservices.

This instructor-led, live training in Uzbekistan (online or on-site) is designed for 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 conducted in Uzbekistan, we begin with an examination of microservice architecture. Participants will test their knowledge through exercises and the step-by-step development of sample microservices.

By the conclusion of this training, participants will have a firm grasp of how to employ Spring Cloud and associated Spring technologies to quickly develop their own cloud-scale, cloud-ready microservices.

This instructor-led live training in Uzbekistan (online or onsite) is designed for developers who wish to transition from traditional architectures to highly concurrent, microservices-based systems 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 a lightweight, open-source framework designed for building Java-based cloud applications. Netflix OSS comprises a collection of frameworks and libraries tailored for microservices development. Spring Cloud integrates seamlessly with Netflix components, leveraging auto-configuration and a convention-over-configuration approach to simplify development.

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

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

Audience

• Java Developers

Course Format

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