Engineering and computer science students
Explore software delivery workflows and widely used DevOps tools.
CLOUD COMPUTING & DEVOPSCURRICULUM PREVIEW
DevOps with Git, Jenkins & Docker
Course fee: INR 19,000 + 18% GST (INR 3,420). Total including GST: INR 22,420.
Confirm exclusions, materials, assessments and payment options with admissions.
Build. Automate. Package. Deliver.
DevOps Fundamentals · Linux · Git & GitHub · Jenkins · CI/CD · Docker
A 90-hour learning path in DevOps workflows using Git, Jenkins, Docker, Linux, and CI/CD fundamentals.
90 hourscourse duration
Contact admissionsupcoming batch
Confirm available delivery formatlearning mode
Course duration: 90 hours. Contact admissions for batch dates, daily timings and delivery arrangements.
Program Overview
Build, automate, and deploy with modern DevOps
DevOps is a modern software delivery approach that brings development and IT operations together to build, test, release, and maintain applications more efficiently. Organisations use DevOps practices to automate repetitive tasks, improve collaboration, reduce deployment errors, and deliver software reliably.
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The DevOps with Git, Jenkins & Docker course introduces learners to essential tools and workflows through guided demonstrations, practical lab exercises, and projects. Learners explore source-code management with Git, collaboration through GitHub, build and deployment automation with Jenkins, and portable application containers with Docker.
The 90-hour curriculum also introduces Linux fundamentals, CI/CD pipelines, troubleshooting, and deployment practices. Confirm current schedule, fees, training mode, system requirements, software access, and assessment arrangements with ECAREERPLUZ.
What you will learn
- Practise version control and collaboration with Git and GitHub.
- Explore Jenkins-based continuous integration and delivery workflows.
- Package sample applications with Docker containers.
- Learn Linux and shell fundamentals for development and operations tasks.
- Connect source control, build automation, testing concepts, and containers in a guided project.
- Prepare for entry-level DevOps opportunities with project and interview practice.
Who should enroll?
BCA, MCA, computer science, and IT graduates
Build practical foundations in version control, pipelines, containers, and Linux.
Software developers
Learn deployment automation and collaboration workflows.
System administrators and technical support professionals
Extend existing IT knowledge with build automation and container fundamentals.
Beginners with basic computer knowledge
Start learning technical fundamentals through a guided curriculum.
Eligibility
- Basic computer knowledge is expected; confirm formal admission requirements with ECAREERPLUZ.
- No prior professional DevOps experience is required.
- Basic programming knowledge is helpful but not compulsory. Familiarity with simple application code can help learners understand build processes.
- Confirm required computer specifications, software access, schedule, delivery format, and fees before enrolment.
Curriculum Preview
The 90-hour curriculum combines concepts, demonstrations, practical labs, and project work across seven modules.
Module 01: DevOps Fundamentals & Linux · 12 hours
- DevOps culture and principles
- Software delivery lifecycle and development-operations collaboration
- Linux commands, files, and directories
- File permissions, processes, and package management
- Shell fundamentals and command-line workflows
Module 02: Git & GitHub Version Control · 14 hours
- Repositories, commits, and change history
- Branches, merges, and rebasing fundamentals
- Remote repositories and collaboration
- Pull requests and code review
- Merge-conflict resolution and team workflows
Module 03: Build Automation & CI/CD Concepts · 10 hours
- Build tools and automated testing concepts
- Continuous integration and delivery
- Continuous deployment and release workflows
- Pipeline stages and automation fundamentals
Module 04: Jenkins & Pipeline Automation · 18 hours
- Jenkins installation and configuration
- Jobs, plugins, and source repository connections
- Webhooks and Jenkinsfiles
- Pipeline stages and build execution
- Credential management and failed-build troubleshooting
Module 05: Docker & Containerization · 18 hours
- Images, containers, and image layers
- Dockerfiles and image creation
- Volumes, networks, and environment variables
- Docker Hub and container registries
- Container logs and Docker Compose fundamentals
Module 06: End-to-End DevOps Project · 14 hours
- Connect Git source control to Jenkins
- Automate sample application build and test steps
- Create and run a Docker image
- Document the workflow and deployment steps
- Demonstrate an integrated delivery pipeline
Module 07: Assessment & Career Preparation · 4 hours
- Complete practical assessments
- Review project documentation and portfolio
- Practise technical interview questions
- Present the project workflow
The module schedule totals 90 hours. Lab activities, software access, hosting, and project scope depend on the confirmed training environment. Production deployment and advanced security integrations are not implied.
Tools & Technologies
Tools for source control, automation, and containers
Learn the essential tools used to manage source code, automate software delivery, and package applications for consistent execution.
Version control and collaboration
Git and GitHub
Track source-code changes, work with repositories and branches, resolve conflicts, and practise collaborative pull-request workflows.
Build and delivery automation
Jenkins
Explore jobs, plugins, repository connections, webhooks, Jenkinsfiles, pipeline stages, and basic build troubleshooting.
Containerization
Docker and Docker Compose
Understand images, containers, Dockerfiles, layers, volumes, networks, environment variables, logs, and Compose fundamentals.
Operating system and shell
Linux and shell basics
Practise common commands, files, permissions, processes, package management, logs, and introductory shell workflows.
Continuous integration and delivery
CI/CD and build automation concepts
Understand how changes move through automated build, testing, packaging, and release stages.
Git, GitHub, Jenkins, Docker, and Linux are named as tools covered by the course outline. Specific tools, versions, plugins, hosting, and lab environments depend on the training setup and may change over time. Paid software, cloud hosting, external accounts, and subscriptions are not confirmed as included. Confirm requirements and any third-party charges with ECAREERPLUZ. Use sample applications and approved lab environments; do not place passwords, tokens, or other secrets in source repositories or pipeline files.
Projects & Practical Work
Practise an end-to-end software delivery workflow
Build practical experience through guided exercises and a portfolio-oriented capstone using sample applications and the available lab environment.
PROJECT 1
Collaborative Code Management
Create a Git repository, manage feature branches, resolve merge conflicts, and submit changes through GitHub pull requests.
Git, branching, collaboration, conflict resolution
PROJECT 2
Automated Build Pipeline
Configure Jenkins to retrieve application code from a repository, run a sample build and test process, and report build status.
Jenkins, CI/CD, automated build and test concepts
PROJECT 3
Containerized Web Application
Write a Dockerfile, build an image, run a container, configure environment variables, and explore publishing an image to a registry.
Docker, image creation, container management
PROJECT 4
End-to-End DevOps CI/CD Pipeline
Integrate source control, Jenkins, and Docker to automate code retrieval, build and test stages, container image creation, and deployment in an approved lab environment.
Git, Jenkins, Docker, pipeline workflow
Practical learning approach
- Learn core concepts through structured lessons and guided demonstrations.
- Practise Git workflows, Jenkins pipelines, Docker images, and containers in available labs.
- Complete practical exercises and periodic assessments.
- Build a sample end-to-end project and document deployment steps.
- Review project work, explain the workflow, and receive feedback according to the confirmed assessment plan.
Suggested deliverables include a source-code repository, Jenkins pipeline configuration, Dockerfile, deployment instructions, screenshots of successful runs, and a project presentation. Production hosting or advanced security integration depends on the lab environment and course configuration.
Learning Goals
Build foundational DevOps workflow skills
By the end of this 90-hour program, learners should be able to:
Explain DevOps principles and the software delivery lifecycle.
Use Linux commands for common development and operations tasks.
Track changes and collaborate using Git and GitHub.
Configure Jenkins jobs and create foundational CI/CD pipelines.
Create and manage Docker images and containers.
Connect source-code management, automated builds, and container packaging in a sample workflow.
Identify common pipeline and container errors and practise basic troubleshooting.
Document deployment workflows and present practical project work.
Explore entry-level DevOps, build automation, and related technical career pathways.
This course provides foundational learning; role requirements vary, and further practice in cloud platforms, scripting, networking, security, and troubleshooting may be beneficial.
Explore DevOps Career Pathways
Build practical skills and progress with experience
DevOps skills are relevant to software development companies, IT services firms, SaaS businesses, and teams improving software delivery. Career progression depends on practical experience, technical depth, and employer requirements.
Career pathways
DevOps Intern / Trainee
Gain entry-level exposure to source control, build pipelines, containers, and deployment support.
Junior DevOps Engineer
Assist with CI/CD workflows, container management, release activities, and troubleshooting.
DevOps Engineer
With further experience, develop and maintain automation pipelines, deployment environments, and operational workflows.
Senior DevOps / Platform Engineer
Potentially progress into platform engineering, infrastructure automation, reliability, and cloud operations with substantial experience.
Indicative salary progression in India
Compare these planning ranges with current local opportunities. Pay varies by role, qualifications, experience and employer.
DevOps Intern / Trainee
₹2–4 LPAIndicative annual CTCJunior DevOps Engineer
₹3–7 LPAIndicative annual CTCDevOps Engineer
₹6–15 LPAIndicative annual CTCSenior DevOps / Platform Engineer
₹15–30+ LPAPotential progression with substantial experienceBusiness opportunities
- CI/CD pipeline setup and maintenance | Build relevant experience before taking responsibility for live delivery systems.
- Docker-based application packaging | Practise container workflows and deployment support in appropriate environments.
- Git workflow setup | Help teams adopt repository, branching, and collaboration practices within your competence.
- Build automation and release management | Develop testing, pipeline, and release skills through continued practice.
- DevOps support for startups and small businesses | Confirm client authorisation, scope, security requirements, and operational readiness.
- Cloud and platform engineering | Progress through further training in cloud services, infrastructure as code, monitoring, and security.
Build your future: Freelance. Production systems require appropriate experience, authorisation, security controls, and operational support.
Placement Assistance & Career Preparation
Prepare to demonstrate your DevOps project work
Ask admissions about career preparation support for entry-level DevOps opportunities. Confirm currently available services, eligibility, and batch-specific arrangements with ECAREERPLUZ.
Career support services
Resume development
Present technical skills, training, and projects clearly and accurately.
GitHub portfolio preparation
Organise repositories, source code, and project documentation for review.
Technical interview preparation
Practise Git, Jenkins, Docker, Linux, and CI/CD questions.
Mock interviews
Improve technical communication and problem-solving explanations through practice.
Project demonstrations
Learn to explain pipeline architecture, container packaging, and deployment steps.
Job-readiness guidance
Understand job descriptions, application processes, and entry-level role expectations.
Career opportunity sharing
Relevant openings may be shared when available and appropriate.
Placement assistance is guidance. Outcomes depend on individual performance and employer requirements.
Certification information
Discuss the issuing authority, assessment requirements and any separate provider exams with admissions.
Certificate eligibility, assessment requirements, and the issuing institution should be confirmed with ECAREERPLUZ before enrolment. Third-party or vendor certification is not automatically included.
Confirm whether any separate ECAREERPLUZ course-completion certificate is available and what assessment requirements apply.
Any third-party certification, exam registration, eligibility, and fee are separate unless explicitly confirmed by ECAREERPLUZ.
Continue developing practical skills in Linux, scripting, cloud platforms, networking, security, and infrastructure automation.
Example learning journeys
Learn. Practise. Build Your Career.
Explore example cloud computing and DevOps projects and learning journeys.
Example learning journey01
From Learner to Portfolio-Ready Candidate
Learner
A learner develops a technical portfolio by completing practical projects and documenting the workflow.
Practice focus:
Example learning journey02
Building Confidence Through Automation
Learner
A learner practises connecting source control, CI/CD concepts, and containers in a sample application workflow.
Practice focus: Develop practical skills through guided exercises and project work.
Example learning journey03
Learning by Doing
Learner
Project exercises help a learner explain technical steps and delivery workflows in interview practice.
Practice focus: Example only; no employment or interview outcome is implied.
Practical, Measurable DevOps Learning
Structure. Practise. Review. Improve.
The learning approach combines structured lessons, guided labs, project milestones, and periodic assessment.
Our learning approach
Structured progress tracking
Review attendance, syllabus completion, lab submissions, assessments, and project milestones.
Hands-on lab assessment
Practise Git commands, Jenkins pipeline execution, Docker image creation, and container troubleshooting.
Skill-based evaluation
Use quizzes, practical assignments, code reviews, and project demonstrations to identify learning gaps.
Feedback and improvement
Use learner feedback and assessment results to inform targeted support and course delivery.
Portfolio development
Document the project and explain the technical workflow clearly.
What will learners measure?
| Area | Example metrics |
|---|---|
| Version control | Review repository workflow, branches, commits, and conflict-resolution exercises. |
| Pipeline automation | Assess a sample Jenkins build and pipeline execution in the approved learning environment. |
| Container workflow | Review image creation, container execution, logs, and project documentation. |
Ask admissions about available course-completion records, learner feedback and career support.
Meet Your Mentors
Learn from Industry Experts and Experienced Professionals.
Mr. P. PRAKASH RAJ
Software Developer
Mrs. S. SIVANISHA
IT Trainer
Mr. S. MOHAMED RIYAS KHAN
UI & UX Designer
Mr. S. SABARINATHAN
AI AnalystFrequently Asked Questions
What is DevOps?
DevOps combines practices and cultural principles that help development and operations teams collaborate, automate software delivery, and improve application reliability.
What is the duration of this course?
The course duration is 90 hours. Contact admissions for batch dates and the detailed timetable.
Who can enrol in this course?
The course is intended for engineering and computer science students, IT graduates, developers, system administrators, technical support professionals, and beginners interested in software automation.
Do I need programming experience?
Prior professional programming experience is not compulsory. Basic programming knowledge is helpful, and familiarity with simple application code can support learning.
Will I learn Git, Jenkins, and Docker practically?
The curriculum includes repository workflows, Jenkins pipeline configuration, Docker images and containers, and an integrated project, subject to available lab access.
What is CI/CD?
Continuous Integration automates integrating and validating code changes. Continuous Delivery prepares software for release, while Continuous Deployment automatically releases qualifying changes to production.
Can a fresher apply for DevOps jobs after this course?
The course can help freshers build foundational skills for internships, trainee positions, and suitable junior roles. Requirements vary; further practice in cloud platforms, scripting, networking, and troubleshooting may help.
Will I receive a certificate?
Confirm certificate eligibility, assessment requirements, and issuing institution with ECAREERPLUZ before enrolment. Vendor certification is not automatically included.
How does career support work?
Ask our team about available career guidance, portfolio preparation and interview practice. Employers make their own selection decisions based on skills, qualifications and vacancies.
Can I learn AWS or Azure through this course?
This course focuses on Git, Jenkins, Docker, Linux fundamentals, and CI/CD workflows. AWS, Azure, Kubernetes, and infrastructure-as-code tools are not listed in this curriculum.
What projects will I complete?
Suggested projects cover collaborative code management, Jenkins build automation, a Dockerized application, and an end-to-end CI/CD pipeline for a sample application.
How do I enrol?
Contact ECAREERPLUZ to confirm the next batch, fees, class schedule, delivery mode, system requirements, software access, and certificate details.
What is the course fee, including GST?
Course fee: INR 19,000 + 18% GST (INR 3,420). Total including GST: INR 22,420. Confirm exclusions, materials, assessments and payment options with admissions.
Build your next chapter in cloud computing and DevOps.
Confirm course duration, fees, upcoming batch, learning mode, and final curriculum with our team.
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