Building Microservices with Spring Cloud and Docker Training Course

This guided, live training in Argentina (online or at your location) is designed for engineers aiming to expand their Docker knowledge to deploy applications at scale while maintaining control.

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

• Create custom Docker images.
• Deploy and manage a large volume of Docker applications.
• Evaluate various container orchestration solutions to select the most appropriate option.
• Implement continuous integration workflows for Docker applications.
• Integrate Docker applications with existing continuous integration tools.
• Enhance the security of Docker applications.

Docker serves as a containerization platform, providing consistent, portable, and reproducible environments specifically designed for AI and machine learning workloads.

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

Upon completing this course, participants will be equipped to:

• Create 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 diverse runtime environments.

Course Format

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

Course Customization Options

• To tailor this training to your organizational needs, please contact us to make arrangements.

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

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

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

• Develop automated pipelines for constructing and testing AI model containers.
• Establish version control and ensure reproducibility throughout model lifecycles.
• Incorporate automated deployment strategies for AI services.
• Apply CI/CD best practices specifically adapted for machine learning operations.

Course Format

• Instructor-guided 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 to your needs.

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 delivering 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 assisted our clients in validating their skills in Kubernetes environments by preparing them to pass the CKA and CKAD exams.

This instructor-led, live training (available online or on-site) 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 plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• Abundant 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 make arrangements.
• For more information about CKA certification, please visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

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

This instructor-led live training, available online or on-site, is designed for developers who wish to validate their ability to design, build, configure, and expose cloud-native applications on Kubernetes.

Additionally, the course emphasizes gaining practical experience in Kubernetes application development. We recommend participating even if you do not plan to sit for 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 assisted customers in validating their performance in Kubernetes 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 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 serves as a platform that enables developers and system administrators to manage distributed applications. It features a runtime environment for executing containers alongside a service designed for distributing and sharing them.

Thanks to Docker, applications can operate consistently across laptops, dedicated servers, and virtual machines without requiring modifications.

Over the first two days, this course covers essential Docker usage, benefiting both developers and IT professionals. The curriculum is rich with practical exercises, allowing participants to work within their own Docker setups and create custom images.

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

This instructor-led, live training in Argentina (online or onsite) is targeted at engineers who want to leverage Docker to deploy and manage software as containers rather than as traditional standalone applications.

Upon completing this training, participants will be capable of:

• Installing and configuring Docker.
• Comprehending and implementing software containerization.
• Managing applications built on Docker.
• Networking various Docker applications and systems.
• Understanding and editing Docker registries.

This instructor-led live training in Argentina (online or on-site) is intended for DevOps engineers who aim to optimize and simplify 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.
• Build applications using Docker and Dockerfiles.
• Configure authentication options to strengthen security.

This instructor-led live training, offered online or onsite, targets engineers looking to evaluate these services to make informed decisions about which to implement within their organizations.

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

• Set up a development environment that includes all required libraries, packages, and frameworks needed to start developing.
• Set up, configure, and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

In this instructor-led live training in Argentina, participants will learn how to manage the Red Hat OpenShift Container Platform.

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

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications on-premises, in the public cloud, or on a hosted cloud.
• Secure the OpenShift Container Platform.
• Monitor and collect metrics.
• Manage storage.

This instructor-led, live training in Argentina (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 in Argentina, 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 Argentina (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 Argentina, we begin with a discussion on microservice architecture. Participants will test their knowledge through exercises and the incremental development of sample microservices.

By the end of the training, participants will possess a strong grasp of how to employ Spring Cloud and related Spring technologies to swiftly create their own cloud-scale, cloud-ready microservices.

This live, instructor-led training in Argentina (online or onsite) targets developers who aim to transition traditional architectures into a highly concurrent, microservices-based structure using Spring Cloud, Kafka, Docker, Kubernetes, and Redis.

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

• Establish 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 into a microservice-based architecture.
• Adopt a DevOps approach to software development, testing, and release.
• Ensure high concurrency among microservices in production.
• Monitor microservices and implement recovery strategies.
• Carry out performance tuning.
• Learn about future trends in microservices architecture.