Skillonit should not guarantee employment, salary or an interview timeline. Verified outcome data may be published only with cohort definitions, dates and methodology.
Build practical skills across software delivery, cloud and operations with Skillonit’s DevOps Course in Andheri. The program is designed for students, graduates, developers, system administrators, support professionals, testers, cloud learners and career switchers who want structured training in Linux, Git, scripting, CI/CD, Docker, Kubernetes, Terraform or OpenTofu, Ansible, cloud, GitOps, monitoring and DevSecOps. Learners progress from foundations to a documented capstone. Depending on the approved batch, project work may include a CI pipeline, containerised application, Infrastructure as Code environment, Kubernetes deployment, GitOps workflow, observability dashboard and security checks. The current syllabus, cloud provider, trainer, mode, batch and fees must be confirmed before enrolment. Live online DevOps training is available to learners in Andheri. Classroom or hybrid options are shown only when a verified centre and active batch are approved.. verified centre availability. No course can guarantee employment or production expertise. Skillonit may provide structured learning, project feedback and career assistance; outcomes depend on practice, project completion, prior experience and role requirements. Get a Free Demo
Build practical skills across software delivery, cloud and operations with Skillonit’s DevOps Course in Andheri. The program is designed for students, graduates, developers, system administrators, support professionals, testers, cloud learners and career switchers who want structured training in Linux, Git, scripting, CI/CD, Docker, Kubernetes, Terraform or OpenTofu, Ansible, cloud, GitOps, monitoring and DevSecOps. Learners progress from foundations to a documented capstone. Depending on the approved batch, project work may include a CI pipeline, containerised application, Infrastructure as Code environment, Kubernetes deployment, GitOps workflow, observability dashboard and security checks. The current syllabus, cloud provider, trainer, mode, batch and fees must be confirmed before enrolment. Live online DevOps training is available to learners in Andheri. Classroom or hybrid options are shown only when a verified centre and active batch are approved.. verified centre availability. No course can guarantee employment or production expertise. Skillonit may provide structured learning, project feedback and career assistance; outcomes depend on practice, project completion, prior experience and role requirements.
Learners who want face-to-face teaching, fixed batches, and local classroom guidance.
Included in this mode
Learning flow
Build practical skills across software delivery, cloud and operations with Skillonit’s DevOps Course in Andheri. The program is designed for students, graduates, developers, system administrators, support professionals, testers, cloud learners and career switchers who want structured training in Linux, Git, scripting, CI/CD, Docker, Kubernetes, Terraform or OpenTofu, Ansible, cloud, GitOps, monitoring and DevSecOps. Learners progress from foundations to a documented capstone. Depending on the approved batch, project work may include a CI pipeline, containerised application, Infrastructure as Code environment, Kubernetes deployment, GitOps workflow, observability dashboard and security checks. The current syllabus, cloud provider, trainer, mode, batch and fees must be confirmed before enrolment. Live online DevOps training is available to learners in Andheri. Classroom or hybrid options are shown only when a verified centre and active batch are approved.. verified centre availability. No course can guarantee employment or production expertise. Skillonit may provide structured learning, project feedback and career assistance; outcomes depend on practice, project completion, prior experience and role requirements.
Build practical skills across software delivery, cloud and operations with Skillonit’s DevOps Course in Andheri. The program is designed for students, graduates, developers, system administrators, support professionals, testers, cloud learners and career switchers who want structured training in Linux, Git, scripting, CI/CD, Docker, Kubernetes, Terraform or OpenTofu, Ansible, cloud, GitOps, monitoring and DevSecOps. Learners progress from foundations to a documented capstone. Depending on the approved batch, project work may include a CI pipeline, containerised application, Infrastructure as Code environment, Kubernetes deployment, GitOps workflow, observability dashboard and security checks. The current syllabus, cloud provider, trainer, mode, batch and fees must be confirmed before enrolment. Live online DevOps training is available to learners in Andheri. Classroom or hybrid options are shown only when a verified centre and active batch are approved.. verified centre availability. No course can guarantee employment or production expertise. Skillonit may provide structured learning, project feedback and career assistance; outcomes depend on practice, project completion, prior experience and role requirements.
Level
Foundation-to-intermediate DevOps pathway; advanced depth depends on the live batch
Core foundations
Linux, networking, shell scripting, YAML, Git and collaborative workflows
Active module
11. Operating-System and Network Foundation
2Become comfortable with Linux, permissions, processes, services, logs, DNS, HTTP, ports and safe remote access.
32. Automation and Version Control
4Write small scripts, read YAML, use Git branches and pull requests and keep configuration reviewable.
53. Continuous Integration
Selected batch
Start DateUpcoming
TimingsRegular live sessions
Duration18 weeks
ModeClassroom
Lead Trainer
Cloud Specialist
6+
Years Experience
LAB
Practice Support
Publish the assigned trainer’s verified name, photograph, relevant DevOps or cloud experience, credentials, selected public work and modules taught. Do not use generic years, student counts, employer names or awards without supporting evidence. Trainer support may include live demonstrations, lab troubleshooting, pipeline review, infrastructure review, capstone guidance and interview preparation. One-to-one mentorship, office hours and doubt-clearing response times should be stated only when included in the current batch policy.
Harsh Vaidya focuses on practical DevOps training with a learner-first approach. Sessions combine clear concept explanation, demonstrations, lab-based practice, and interview-oriented guidance so students understand how the skill is applied in real work.
Concept-first explanations
Hands-on practice and assignments
Project and portfolio guidance
Doubt-solving support
Career-oriented mentoring
Learners who meet the published attendance, assignment, assessment and capstone requirements may receive a Skillonit DevOps course-completion certificate. The certificate should state the learner name, course title, issuer, completion date and, when implemented, a verifiable credential ID. This certificate is not automatically an AWS, Microsoft, Google, CNCF, Linux Foundation, HashiCorp or other vendor certification. Vendor exams have separate blueprints, fees and eligibility. The strongest evidence for employers remains a reproducible portfolio, project explanation and practical troubleshooting ability.
Course-completion certificate
Assignment and project-based validation
Useful for resume and portfolio building
Certificate details subject to current course policy
Certificate ID
SKL-DEV-2026
Certificate of Completion
This certifies that the student has completed Skillonit’s DevOps training with practical tasks, quizzes, and project assessment.
Presented to
Student Name
For successful completion of DevOps Course
Completion Date
18 Jun 2026
Authorized Signature
Verification-ready certificate preview for LMS completion.
Level
Foundation-to-intermediate DevOps pathway; advanced depth depends on the live batch
Core foundations
Linux, networking, shell scripting, YAML, Git and collaborative workflows
CI/CD
GitHub Actions, Jenkins and reusable pipeline design principles
Containers
Docker images, Dockerfiles, registries, Compose and container security
Orchestration
Kubernetes architecture, workloads, configuration, networking, storage and Helm
Infrastructure
One primary cloud lab, Terraform or OpenTofu, Ansible and cost/security awareness
Operations
Prometheus, Grafana, logs, OpenTelemetry concepts, SLOs and incident response
Tools students practice
This course blends clear concepts, practical training, guided projects, quizzes, and career-focused assessment to help learners build confidence and move toward real opportunities.
1. Learn Linux commands, permissions, services, logs and basic networking. 2. Practise shell scripting, YAML, Git, branches and pull requests. 3. Build automated test and build workflows with GitHub Actions and Jenkins. 4. Package a sample application with Docker and publish a controlled image.
Career assistance may include resume and LinkedIn feedback, GitHub and project review, mock interviews, Linux and networking questions, pipeline debugging, cloud and Kubernetes scenarios, communication practice and relevant opportunity sharing. The current policy should state eligibility, duration and exclusions. Interview preparation should help learners explain architecture, permissions, failure handling, rollback, cost and security decisions. Memorised commands are not enough. Learners should be able to inspect logs, form a hypothesis, test it safely and describe what they implemented personally. Skillonit should not guarantee employment, salary or an interview timeline. Verified outcome data may be published only with cohort definitions, dates and methodology.
Level
Foundation-to-intermediate DevOps pathway; advanced depth depends on the live batch
Core foundations
Linux, networking, shell scripting, YAML, Git and collaborative workflows
CI/CD
GitHub Actions, Jenkins and reusable pipeline design principles
Containers
Docker images, Dockerfiles, registries, Compose and container security
Orchestration
Kubernetes architecture, workloads, configuration, networking, storage and Helm
Infrastructure
One primary cloud lab, Terraform or OpenTofu, Ansible and cost/security awareness
Admission enquiry
Share your details and our team will help you choose the right DevOps batch, learning mode, syllabus, fee plan, and career path.
Build practical skills across software delivery, cloud and operations with Skillonit’s DevOps Course in Andheri. The program is designed for students, graduates, developers, system administrators, support professionals, testers, cloud learners and career switchers who want structured training in Linux, Git, scripting, CI/CD, Docker, Kubernetes, Terraform or OpenTofu, Ansible, cloud, GitOps, monitoring and DevSecOps. Learners progress from foundations to a documented capstone. Depending on the approved batch, project work may include a CI pipeline, containerised application, Infrastructure as Code environment, Kubernetes deployment, GitOps workflow, observability dashboard and security checks. The current syllabus, cloud provider, trainer, mode, batch and fees must be confirmed before enrolment. Live online DevOps training is available to learners in Andheri. Classroom or hybrid options are shown only when a verified centre and active batch are approved.. verified centre availability. No course can guarantee employment or production expertise. Skillonit may provide structured learning, project feedback and career assistance; outcomes depend on practice, project completion, prior experience and role requirements.
Build strong foundation skills in DevOps
Apply concepts through guided practical projects
Use portfolio work to start client-ready practice
Prepare for internships, jobs, or higher learning
Build practical skills across software delivery, cloud and operations with Skillonit’s DevOps Course in Andheri. The program is designed for students, graduates, developers, system administrators, support professionals, testers, cloud learners and career switchers who want structured training in Linux, Git, scripting, CI/CD, Docker, Kubernetes, Terraform or OpenTofu, Ansible, cloud, GitOps, monitoring and DevSecOps.
Learners progress from foundations to a documented capstone. Depending on the approved batch, project work may include a CI pipeline, containerised application, Infrastructure as Code environment, Kubernetes deployment, GitOps workflow, observability dashboard and security checks. The current syllabus, cloud provider, trainer, mode, batch and fees must be confirmed before enrolment.
Live online DevOps training is available to learners in Andheri. Classroom or hybrid options are shown only when a verified centre and active batch are approved.. verified centre availability. No course can guarantee employment or production expertise. Skillonit may provide structured learning, project feedback and career assistance; outcomes depend on practice, project completion, prior experience and role requirements.
Internship Program
Skillonit’s DevOps Internship Program in Andheri is a mentor-guided practical pathway available in 1-month, 3-month and 6-month formats. Participants learn how to automate software delivery with Linux, Git, CI/CD, Docker, Kubernetes, Terraform, configuration management, observability, security and cloud deployments. The program combines structured training, assignments, project reviews, documentation, portfolio support and a completion certificate subject to published requirements.
The internship is designed for students, developers, system administrators, cloud professionals, testers and career switchers. It turns course knowledge into structured practice through mentor-led onboarding, guided tasks, project milestones, review meetings, documentation and a final presentation. Participants are expected to build, test, explain and improve their work instead of only watching demonstrations.
Available durations
1 month, 3 months and 6 months
Delivery modes
Live online, classroom or hybrid—subject to the selected batch and location
Local availability
Local centre, mode, start date and seat availability are shared only from verified city data.
Learning model
Training + mentor-guided tasks + project reviews + portfolio evidence
Projects
Mini project, guided projects and capstone according to duration
Support
Onboarding, doubt clearing, task planning, review feedback and presentation guidance
About Program
Skillonit’s DevOps internship is designed as a bridge between learning and practical delivery. Interns begin with a baseline assessment and a clear task plan, then progress through demonstrations, guided exercises, independent work and review. The focus is on understanding why a solution works, how to communicate decisions and how to improve quality after feedback.
The work is aligned with Linux, shell scripting and Git workflows, Kubernetes, Helm and deployment strategies and GitOps, DevSecOps and SRE foundations. Longer pathways include more complex requirements, collaboration, documentation, testing and presentation. Interns maintain a task log or project board so that progress can be reviewed objectively rather than judged only by the final output.
The internship does not guarantee employment, freelance income, client allocation or a stipend. It provides practical exposure, evidence of completed work and career-readiness support. Any employment or paid internship opportunity is published separately with its own eligibility, application deadline, compensation and selection process.
Duration Options
The one-month pathway is a focused four-week experience for learners who want an introduction to professional DevOps, cloud automation and platform delivery practice. It prioritizes orientation, essential tools, one clear workflow and a mentor-reviewed mini project. It is most suitable for beginners, students testing the domain, or course learners who need a short practical component.
Week 1 – Orientation and foundation: skill assessment, program rules, tool setup, task tracking, Linux, shell scripting and Git workflows and a short guided exercise.
Week 2 – Core practice: CI/CD concepts and build automation, mentor demonstration, individual practice and a quality checklist.
Week 3 – Mini project build: apply Docker and container fundamentals to a scoped project with milestone review and corrections.
Week 4 – Finalization: testing or quality review, documentation, presentation, mentor feedback and next-learning roadmap.
Expected 1-month evidence: One completed mini project, task log, project summary, mentor feedback record and final presentation. Example project: Automated CI pipeline.
The three-month pathway is the recommended option for learners who want meaningful portfolio evidence. It combines a foundation phase, an applied phase and a capstone phase. Interns work on at least two guided assignments and one larger project, with regular reviews that focus on quality, documentation and problem-solving.
Month 1 – Foundation and workflow: Linux, shell scripting and Git workflows, CI/CD concepts and build automation, Docker and container fundamentals; tool setup; guided exercises; communication and documentation standards.
Month 2 – Applied delivery: Kubernetes, Helm and deployment strategies, Terraform and configuration automation, monitoring, logging and incident practice; first project review; debugging, critique or analysis; iteration after feedback.
Month 3 – Capstone and portfolio: build Kubernetes deployment or another approved project; complete testing, documentation, presentation and portfolio packaging.
Expected 3-month evidence: Two guided projects, one capstone, weekly progress records, review notes, final presentation and a portfolio-ready case study. Suggested project options include Containerized application stack, Kubernetes deployment and Terraform infrastructure lab.
The six-month pathway is intended for learners seeking deeper, sustained practical experience. It includes specialization, team workflow, quality assurance and a production-style capstone. Interns gradually take greater ownership while remaining accountable to scope, security, ethics and mentor review.
Month 1 – Foundation: Linux, shell scripting and Git workflows and CI/CD concepts and build automation, baseline tasks and work standards.
Month 2 – Core build: Docker and container fundamentals plus the first guided project and review cycle.
Month 3 – Applied specialization: Kubernetes, Helm and deployment strategies and Terraform and configuration automation with an intermediate project.
Month 4 – Integration: monitoring, logging and incident practice and cross-functional workflow, documentation and quality checks.
Expected 6-month evidence: A structured portfolio containing three or more projects, an advanced capstone, documented iterations, mentor reviews, a presentation and a skills matrix. Suggested advanced projects include Terraform infrastructure lab, Monitoring and alerting dashboard and GitOps-style end-to-end DevOps capstone.
Skills and Tools
Working Environment
The exact stack may vary by batch and project. Typical tools include Linux, Git, GitHub, Jenkins or GitHub Actions, Docker, Kubernetes, Helm, Terraform, Ansible, Prometheus, Grafana, Argo CD awareness, approved cloud. Skillonit should publish only the tools that are actually supported in the selected batch and provide setup guidance, access requirements and alternatives where paid licences are involved.
Project Practice
Real client projects are included only when an approved project, permission and review process are available; otherwise learners work on realistic industry simulations or mentor-designed capstones.
Training Support
Workflow
Eligibility
Basic Linux, networking or software-development knowledge is useful. Longer tracks can include foundation bridging.
Assessment
Evaluation should be transparent and based on evidence rather than vague participation. Recommended criteria include attendance, timely task completion, understanding of the work, quality of implementation, response to feedback, documentation, ethics and final presentation. The certificate should state the program title, duration, completion date and credential ID only when those fields are actually maintained by Skillonit.
Certification and Career
The internship can support preparation for roles such as DevOps Intern, Cloud DevOps Intern, Platform Engineering Intern, SRE Intern, CI/CD Intern, Infrastructure Automation Intern. It may also help learners demonstrate practical work for further study, entry-level applications, freelance proposals, startup prototypes or internal role transitions. Outcomes depend on the learner’s starting level, effort, project quality and the requirements of each opportunity; no job, income, client or admission result is guaranteed.
Program Features
Search Focus
Apply Now
Apply for the DevOps Internship Program in Andheri and choose the duration that matches your goals. Complete the application form with accurate information so the admissions and mentor team can recommend the appropriate pathway.
Apply Now
Internship FAQs
Skillonit’s DevOps Internship Program in Andheri is a mentor-guided practical pathway available in 1-month, 3-month and 6-month formats. Participants learn how to automate software delivery with Linux, Git, CI/CD, Docker, Kubernetes, Terraform, configuration management, observability, security and cloud deployments. The program combines structured training, assignments, project reviews, documentation, portfolio support and a completion certificate subject to published requirements.
Learners can choose 1 month, 3 months or 6 months. The one-month track is introductory, the three-month track is portfolio-focused, and the six-month track provides deeper project and production-style experience.
Yes, the foundation pathway is designed for learners who meet the basic device and participation requirements. Basic Linux, networking or software-development knowledge is useful. Longer tracks can include foundation bridging.
Projects may include Automated CI pipeline, Containerized application stack, Kubernetes deployment, Terraform infrastructure lab. Final projects are selected according to duration, learner level, mentor capacity and available project briefs.
Yes. The program combines concept refreshers, guided exercises and tool setup before independent tasks. Training depth depends on the selected duration and baseline assessment.
The program includes mentor-guided projects. A real client or production project is offered only when a suitable approved opportunity is available; otherwise, the learner completes a realistic industry simulation or internal capstone.
A completion certificate may be issued after the learner meets the published attendance, task, project, evaluation and final-presentation requirements.
A stipend is not automatic. Stipend status must be displayed for each approved opening. A training internship may have a program fee, while a genuine employment internship must be published separately with its own terms.
Online, classroom and hybrid options may be available. The exact mode, schedule and mentor availability should be confirmed for the selected batch.
Yes, subject to eligibility, schedule and mentor capacity. Weekend or evening options may be offered when listed in the active batch information.
No. The program provides practical learning, portfolio evidence and career-readiness support, but employment, freelance income, client allocation and interview results depend on external selection processes.
Select Apply Now, choose the duration and mode, submit accurate education and skill details, and complete any baseline task requested by the internship team.
Classroom availability depends on the verified local centre, mentor capacity and active batch. Display the exact address and mode only when confirmed.
The approved fee should be loaded from the CMS for the selected duration and batch. Do not place a generic or outdated fee in the page copy.
Yes, when an online batch is active and the learner has the required device, internet access and schedule availability.
Popular searches covered
These are the common search topics this page answers through the course information, syllabus, FAQs, fees, batches, tools, projects, certification, and career-support sections.
Course guide
A detailed, student-friendly guide covering the learning path, tools, projects, career preparation, certification, and course expectations.
Yes, when the selected batch begins with Linux, networking, Git and scripting foundations. Confirm the current level and expected weekly practice.
Live online DevOps training is available to learners in Andheri. Classroom or hybrid options are shown only when a verified centre and active batch are approved.. The page must state the actual live-online schedule, interaction, lab and recording policy.
verified centre availability. Do not infer a physical branch from a city URL.
The proposed stack includes Git, GitHub Actions, Jenkins, Docker, Kubernetes, Helm, Terraform or OpenTofu, Ansible, cloud, Argo CD, Prometheus and Grafana. Confirm the live syllabus.
The practical cloud provider depends on the approved batch. AWS may be used, while Azure and Google Cloud can be compared conceptually.
Yes, the curriculum includes container images, registries, Dockerfiles, Kubernetes workloads, configuration, networking, storage and troubleshooting.
Yes, Infrastructure as Code and configuration-management modules are included with the approved tools and lab environment.
Yes. Learners build pipelines with GitHub Actions, Jenkins or the approved platform and connect build, test, artifact, container and deployment stages.
Yes, with secret handling, least privilege, scanning, SBOM and software supply chain foundations.
Yes. Projects simulate Linux automation, CI/CD, containers, infrastructure, Kubernetes, GitOps, observability and security in authorised labs.
Only display options that exist in the current batch records.
Learners who meet the published requirements may receive a Skillonit completion certificate. It is not automatically a vendor certification.
Skillonit may provide career assistance under the current policy. Employment, salary and interview timelines are not guaranteed.
Yes, when the live schedule is suitable. Confirm timings, workload, recordings and review support.
They can begin with foundations, but should expect additional practice in Linux, networking, scripting and software concepts.
A suitable 64-bit computer and stable internet are recommended. Exact memory, storage and virtualisation requirements depend on the lab.
Reviews must remain hidden until Skillonit has genuine, permissioned and verifiable learner feedback for the course and city.
Use the approved demo or enquiry form after checking the current syllabus, trainer, mode, centre status, batch, fees and policies.