Building Microservices with Spring Cloud and Docker Training Course

This instructor-led, live training in Norway (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 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 artificial intelligence and machine learning workloads.

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

Upon completing this course, participants will be equipped to:

• Construct and manage Docker images specifically tailored for AI and ML applications.
• Containerize machine learning pipelines, tools, and associated dependencies.
• Optimize Docker environments to enhance performance and portability.
• Deploy containerized ML services across various runtime environments.

Course Format

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

Course Customization Options

• To tailor this training to your organization's specific environment, please contact us to arrange.

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

This instructor-led live training, available either 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 capable of:

• Establishing automated pipelines for building and testing AI model containers.
• Implementing version control and reproducibility measures across model lifecycles.
• Integrating automated deployment strategies for AI services.
• Applying CI/CD best practices specifically tailored to machine learning operations.

Course Format

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

Course Customization Options

• Should your organization require customized pipeline workflows or specific platform integrations, please contact us to tailor this course accordingly.

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

Kubernetes has emerged as the leading platform for container orchestration.

NobleProg has provided Docker and Kubernetes training since 2015. Having successfully completed over 360 training projects, we have established ourselves as one of the world's most renowned training providers in the field of containerization.

Since 2019, we have been assisting our customers in validating their expertise 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 emphasizes 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 sessions.
• Hands-on implementation in a live lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange it.
• For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

The Certified Kubernetes Application Developer (CKAD) program was created by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), the organization behind Kubernetes.

This instructor-led live training (available online or on-site) targets developers who want to validate their expertise in designing, building, configuring, and exposing cloud-native applications for Kubernetes.

Additionally, the training emphasizes practical experience in Kubernetes application development; therefore, we recommend participating even if you do not plan to take the CKAD exam.

NobleProg has been providing Docker & Kubernetes training since 2015. With over 360 successfully completed training projects, we have become one of the most recognized training companies globally in the field of containerization. Since 2019, we have also assisted customers in demonstrating their performance in k8s environments by preparing them to pass the CKA and CKAD exams.

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 CKAD, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

Docker serves as a platform enabling developers and system administrators to maintain distributed applications. It comprises a runtime engine for executing containers and a service for sharing container images.

Using Docker, the same application can run unaltered across laptops, dedicated servers, and virtual machines.

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

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

This instructor-led, live training in Norway (online or onsite) targets engineers who want to utilize Docker to deploy and manage software as containers rather than 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 provides a platform for developers and system administrators to manage distributed applications. It comprises a runtime environment for executing containers and a service facilitating the sharing of these containers.

Using Docker, the same application can run unchanged across laptops, dedicated servers, and virtual machines.

This course covers the fundamental usage of Docker, offering value to both developers and system administrators. The curriculum includes numerous practical exercises, allowing participants to practice within their own Docker environment and build their own Docker images over the course of two days.

This instructor-led, live training in Norway (online or onsite) is designed for DevOps engineers who wish to optimize and simplify the CI/CD process using Docker and Jenkins.

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

• Automate code delivery and pipeline deployment using Jenkins.
• Construct applications utilizing Docker and Dockerfiles.
• Configure authentication settings to enhance security.

This instructor-led, live training in Norway (online or onsite) is designed for intermediate-level Java developers who want 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 capable of:

• Understanding the core 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 using Docker and Kubernetes.

In this instructor-led live training in Norway, participants will learn how to evaluate different technologies and approaches for the design of a services-based system architecture. The training begins with a discussion and comparison of monolithic systems and service architectures, then digs into the details of microservice architecture.

Participants are given a chance to put their knowledge into practice as they step through the creation and deployment of a set of proof-of-concept microservices built with Spring Cloud, Spring Boot and Docker.
Finally, the relevant infrastructure building blocks are examined to help participants determine the most suitable tools and approaches to use 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 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 Norway (online or onsite) is designed for intermediate-level developers and DevOps engineers aiming 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 Norway, we commence with a discussion on microservice architecture. Participants will test their knowledge through exercises and the gradual development of sample microservices.

By the conclusion of this training, participants will possess a robust understanding of how to use Spring Cloud and associated Spring technologies to swiftly create their own cloud-scale, cloud-ready microservices.

This instructor-led live training in Norway (online or onsite) is designed for developers aiming to shift traditional architectures toward highly concurrent, microservices-based systems using Spring Cloud, Kafka, Docker, Kubernetes, and Redis.

By the conclusion 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 microservices framework designed for building Java applications in cloud environments. Netflix OSS provides a collection of frameworks and libraries specifically for microservice development. Spring Cloud integrates seamlessly with Netflix components through auto-configuration and convention-based configuration.

During this instructor-led live training, participants will explore the core principles of constructing microservices using Spring Cloud and Netflix OSS. Theoretical knowledge is reinforced through practical exercises and the incremental development of sample microservices.

Upon completion, participants will possess a robust understanding of how to combine Spring Cloud, related Spring technologies, and Netflix OSS to efficiently develop cloud-scale, cloud-ready microservices.

Audience

• Java Developers

Course Format

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