Docker and Jenkins for DevOps Training Course

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

• Install and configure Maven.
• Automate testing using Selenium.
• Manage Git effectively.
• Integrate continuous integration processes.

Format of the Course

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

Course Customization Options

• For customized training options for this course, please contact us to arrange.

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

This instructor-led, live training (conducted online or on-site) is designed for intermediate-level professionals who aim to package their ML codebases, dependencies, and models using Docker to ensure reliable workflows from development to production.

Upon completing this course, participants will be able to:

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

Format of the Course

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

Course Customization Options

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

CI/CD for AI is a methodical approach to automating the packaging, testing, containerization, and deployment of models using continuous integration and delivery pipelines.

This instructor-led, live training (available online or on-site) 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:

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

Format of the Course

• 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 platform integrations, please contact us to tailor this course.

Continuous Integration (CI) is a development methodology where developers frequently merge their code changes to promptly identify and address errors.

In this instructor-led, live training, participants will gain an understanding of the basics of Continuous Integration for JavaScript as they work through setting up a CI process for a JavaScript project.

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

• Grasp the core principles of Continuous Integration
• Create their own Continuous Integration system for their JavaScript projects

Audience

• Developers
• IT Professionals
• DevOps Engineers
• Business Managers

Format of the course

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

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

Kubernetes has become a leading platform for container orchestration in recent years.

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 most recognized training companies globally in the field of containerization.

Since 2019, we have also been assisting our clients in validating their performance in k8s environments by preparing them and encouraging 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. We recommend participating in it even if you do not plan to take the CKA exam.

Course Format

• Interactive lectures and discussions.
• Plenty of exercises and hands-on practice.
• Practical 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 CKA certification, visit: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka

This course emphasizes practical implementation and the use of modern tools. It presupposes a solid understanding of theoretical principles, which are covered in the DEVOPS course. The focus is on the latest tools and methodologies for putting DevOps principles into practice.

This instructor-led, live training in Taiwan covers the concepts, tools and techniques needed to carry out continuous integration of your software projects in an Agile environment. Participants carry out a series of hands-on exercises throughout the course to apply their knowledge in real situations. Interaction among instructor and participants is encouraged. Real-world cases are discussed and specific issues and questions are addressed and resolved in class.

This instructor-led, live training in Taiwan (online or onsite) is aimed at engineers who wish to use Jenkins 2 to build pipelines that automate the process of moving an application from development to production.

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

• Install and configure Jenkins 2.
• Adopt a script approach to automating every step of the software deployment process.
• Automatically generate application builds when software is checked into a version control system.
• Automatically kick off the compiling, testing, and packaging of a software application.
• Quickly respond to notifications and reports when things go wrong.
• Install additional plugins to extend Jenkins.

This instructor-led, live training in Taiwan (online or onsite) covers advanced Jenkins configurations, security, and scaling techniques, and is aimed at DevOps engineers and software architects who wish to gain expertise in customizing Jenkins for complex software projects.

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

• Optimize Jenkins for enterprise-level software projects.
• Implement advanced security measures.
• Build complex and scalable pipelines.
• Troubleshoot and maintain Jenkins installations effectively.

When developers complete writing a piece of code, they typically integrate it into an application, copy the application into a folder, run the installation process, and then initialize the application to ensure it functions as intended. This manual method is inefficient, tedious, prone to errors, and lacks mechanisms for tracking changes during the process.

A more efficient approach involves automating these tasks through Continuous Integration. Continuous Integration encompasses the processes, tools, and infrastructure necessary to automate the building, deployment, and testing of software applications.

In this instructor-led, live training (either onsite or remote), participants will learn how to transform a traditional, manual (or semi-manual) approach to software deployment into an agile, Continuous Integration (CI) process using Jenkins. Throughout the course, participants will engage in a series of hands-on, live-lab exercises, applying their new knowledge to solve various software development and deployment challenges. The instructor encourages interaction with participants, discussing real-world cases and addressing specific issues and questions as they arise. This training is particularly focused on .Net application development.

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

• Install and configure Jenkins for .Net application development
• Use Jenkins to automate the process of checking in and merging .Net source code into a code repository
• Use Jenkins to automate the process of downloading, compiling, and deploying an application to a release server
• Integrate Jenkins with other software development tools such as issue trackers

Audience

• .Net developers
• Build engineers
• QA engineers
• Project managers
• Release managers
• DevOps engineers

Format of the Course

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

Note

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Taiwan (online or onsite) covers the fundamental concepts and usage of Jenkins, and is aimed at software developers and DevOps engineers who wish to set up Jenkins, create and configure jobs, and automate key aspects of the software development process.

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

• Understand the principles of continuous integration and continuous delivery (CI/CD).
• Install and configure Jenkins for software automation.
• Create and manage Jenkins jobs for building and testing applications.
• Set up and customize automated pipelines for software deployment.

This instructor-led, live training in Taiwan (online or onsite) is aimed at engineers who wish to use Jenkins X to create automated, cloud-ready CI/CD pipelines on Kubernetes.

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

• Install and configure Jenkins X.
• Code resilient CI/CD pipelines using a versatile DSL (Domain Specific Language).
• Create CI/CD pipelines that leverage popular technologies such as GitHub, Kubernetes and Docker containers.
• Combine Jenkins X with other popular tools such as Helm, Prow, and Skaffold.
• Deploy applications to any environment, whether in the cloud or on-premises.

This instructor-led, live training in (online or onsite) is aimed at DevOps engineers who wish to use Selenium to execute Selenium tests inside of Docker containers.

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

• Create test automation infrastructure for on-demand testing.
• Develop a test automation framework using Java.
• Build a CI/CD pipeline from scratch with Jenkins and Docker.

This course offers training for managing testing projects using the Selenium test suite and continuous integration with Jenkins.

Intended Audience:

• Software test engineers
• Software developers engaged in agile development
• Release managers
• Quality assurance (QA) engineers

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

• Effectively utilize the Selenium test suite in real-world projects
• Conduct cross-browser testing using Selenium
• Distribute tests across multiple environments with Selenium Grid
• Execute regression tests in Jenkins
• Generate test reports and periodic reports using Jenkins