This instructor-led program focuses on building end-to-end DevOps pipelines using Docker for application containerization and Jenkins for automation orchestration.
Overview
Docker and Jenkins for DevOps Training by AcadNXT is designed to provide participants with practical expertise in containerization and continuous integration/continuous delivery (CI/CD) automation. This instructor-led program focuses on building end-to-end DevOps pipelines using Docker for application containerization and Jenkins for automation orchestration. Participants will learn how to create Docker images, manage containers, integrate Docker with Jenkins pipelines, automate build-test-deploy workflows, and implement real-world CI/CD practices for modern software delivery. The course is ideal for DevOps engineers, developers, and IT professionals aiming to build automated deployment
Learning Outcomes
โข Build and manage Docker containers and images
โข Design CI/CD pipelines using Jenkins
โข Implement Jenkinsfile-based pipeline automation
โข Integrate Docker with Jenkins workflows
โข Automate build-test-deploy processes
โข Manage Git-based CI/CD workflows
โข Debug and optimize pipeline performance
โข Apply DevOps best practices in real environments
Duration & Delivery Mode
21 hours
Target Audience
โข DevOps Engineers
โข Software Developers
โข Build and Release Engineers
โข System Administrators
โข Cloud Engineers
โข QA Automation Engineers
โข Site Reliability Engineers (SREs)
โข IT Operations Teams
Pre-requisites
โข Basic understanding of Linux/Unix systems
โข Familiarity with software development lifecycle (SDLC)
โข Basic knowledge of Docker concepts is helpful
โข Understanding of version control systems like Git is recommended
โข Basic scripting knowledge is beneficial
Skillset Achieved
โข Building Docker images for application deployment
โข Managing container lifecycle using Docker
โข Designing CI/CD pipelines using Jenkins
โข Integrating Docker with Jenkins pipelines
โข Automating build, test, and deployment workflows
โข Implementing pipeline-as-code using Jenkinsfile
โข Managing version control-based deployments
โข Debugging CI/CD pipeline failures
โข Optimizing DevOps automation workflows
โข Applying best practices for container-based delivery
Course Outcome
After completing the Docker and Jenkins for DevOps Training, participants will be able to design and implement fully automated CI/CD pipelines using Docker and Jenkins. Learners will gain practical expertise in containerization, pipeline automation, build orchestration, and DevOps workflow optimization.
Course Outline
Introduction to DevOps, Docker, and CI/CD
โข Overview of DevOps lifecycle
โข Introduction to CI/CD concepts
โข Docker architecture and components
โข Installing and configuring Docker
โข Running and managing containers
Docker for DevOps Pipeline
โข Writing Dockerfiles for applications
โข Building and tagging Docker images
โข Managing container registries
โข Image versioning strategies
โข Best practices for containerized applications
Jenkins Fundamentals
โข Introduction to Jenkins architecture
โข Installing and configuring Jenkins
โข Jenkins dashboard and job creation
โข Freestyle jobs overview
โข Plugin management and setup
Jenkins Pipeline and Automation
โข Introduction to Jenkins pipelines
โข Declarative vs scripted pipelines
โข Writing Jenkinsfile
โข Build, test, and deploy stages
โข Pipeline debugging techniques
Docker Integration with Jenkins
โข Integrating Docker into Jenkins jobs
โข Building Docker images using Jenkins pipeline
โข Running containers from Jenkins
โข Pushing images to Docker registry
โข Automating deployment workflows
Source Code Management and CI Integration
โข Git integration with Jenkins
โข Webhooks and automated builds
โข Branch-based pipeline execution
โข Version control strategies
โข Continuous integration best practices
Advanced CI/CD Practices
โข Multi-stage pipelines
โข Parallel execution in Jenkins
โข Artifact management and versioning
โข Environment-based deployments
โข Rollback strategies
Security and Troubleshooting
โข Jenkins security configuration
โข Docker security basics in pipelines
โข Credential management in Jenkins
โข Debugging pipeline failures
โข Performance optimization
Mini Project and Practical Implementation
โข Building full CI/CD pipeline using Jenkins and Docker
โข Automating build, test, and deployment workflow
โข Deploying containerized application using pipeline
โข Integrating Git, Jenkins, and Docker
โข Final project review and optimization
Assessment Topics
โข Docker containerization concepts
โข Jenkins architecture and pipeline fundamentals
โข Jenkinsfile and pipeline scripting
โข Docker-Jenkins integration workflow
โข CI/CD automation strategies
โข Git and webhook integration
โข Security and troubleshooting in pipelines
โข Mini project implementation
Evaluation
โข Hands-on Docker image creation exercises
โข Jenkins pipeline development tasks
โข CI/CD workflow implementation assignments
โข Git integration and automation activities
โข Mini project development and evaluation
โข Pipeline debugging scenarios
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
Participants who successfully complete the training will receive an AcadNXT Certification in Docker and Jenkins for DevOps Training, validating their expertise in CI/CD automation, containerization, pipeline orchestration, and enterprise DevOps practices.
Available cities in United States for this course
Explore delivery locations across United States and move into city pages for localized schedules and context.
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What Our Students Say
โThe training gave me strong practical experience in building CI/CD pipelines with Docker and Jenkins.โ
โThis course helped me automate deployment workflows using Jenkins pipelines very effectively.โ
โThe instructor explained Docker integration with Jenkins in a very practical and clear manner.โ
โI gained confidence in designing end-to-end CI/CD pipelines using real-world scenarios.โ
โAcadNXT delivered a structured DevOps pipeline training that significantly improved our automation maturity.โ