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45 Days DevOps Industrial Training

45 Days DevOps & Automation Industrial Training in Chandigarh

Build practical DevOps & Automation skills in Chandigarh with techcadd Chandigarh. This 45-day industrial training pathway takes you beyond lecture notes into shell scripts, Git repositories, working CI/CD pipelines, container images, infrastructure code and monitoring dashboards.

Duration
45 days
For
B.Tech · BCA · MCA · B.Sc IT · Diploma
Track
DevOps & Automation
Whether you study B.Tech, BCA, MCA, B.Sc IT or a related degree, begin with a clear plan: understand the prerequisites, inspect the syllabus, discuss academic documentation and choose work you can explain confidently. Share your degree, semester, preferred schedule and prior experience, and a counsellor will help you check whether the format fits your university timetable.

02 — Overview

What is 45 days DevOps & Automation industrial training?

The purpose of a 45-day industrial training programme is to connect academic concepts with practical work. DevOps is not a tool or a job title you can download; it is a way of working that shortens the path from a code change to a running, observable service — safely. A useful learning experience starts with the basics that every tool sits on: Linux, the shell and Git. From there you automate one manual step at a time — a build, a test, a deployment, a server set-up — and learn to ask what happens when it fails, how you would know and how you would roll back. You finish with a pipeline you built and can explain end to end.

Students in Chandigarh search for DevOps summer training, DevOps industrial training, Docker and Kubernetes training, six-week DevOps training with projects, Linux and DevOps internship or CI/CD practical training. These describe overlapping but different needs — this page explains the experience in plain language so you can ask the right questions before registering.

03 — Who can apply?

Start from where you are

Admission guidance considers your readiness, not just your degree. A first-year learner may need more guided exercises; a final-year student may be ready for an independent project. Check that your institution permits the format for any compulsory training requirement.

B.Tech CSE and IT students

Start with a review of Linux and Git, then move quickly to pipelines, containers and automating the deployment of your own project.

BCA students

Start with the Linux command line and Git basics, and build up to scripts and a first pipeline at a comfortable pace.

MCA students

Start with a review aimed at testing in pipelines, release strategies, containers and code maintainability.

B.Sc IT and Computer Science students

Start with Linux administration and shell scripting, which underpin almost every DevOps task.

Diploma and polytechnic students

Start with hands-on Linux, servers and scripting — the system administration side of DevOps.

ECE and other engineering branches

Start with Linux and scripting fundamentals, and explore automation for embedded builds, test benches or engineering tools you already use.

04 — Why 45 days?

A focused summer window

A 45-day schedule suits a summer window and takes you from the Linux command line to a working pipeline that builds, tests and ships a containerised application. Kubernetes, Terraform and Ansible are introduced but not mastered. The programme prioritises habits that carry over to any team — keep everything in version control, automate the step you repeat, never put secrets in code, make changes small and reversible, and make failures visible.

Employers and academic reviewers ask students to explain their own contributions. Work you can reproduce, defend and improve is worth more than a long list of tools you have seen once.

05 — DevOps specialisations

What the track covers

The goal is to make informed choices — not to reach for the most fashionable tool by default. Availability and depth depend on the programme duration and the published batch syllabus.

Linux and shell scripting

Administration, services, logs and Bash automation.

Version control and collaboration

Git branching, pull requests, code review and release tagging.

Continuous integration and delivery

Pipelines, automated tests, artefacts and deployment strategies.

Containers

Docker images, Dockerfiles, Compose, registries and image scanning.

Container orchestration

Kubernetes pods, deployments, services, configuration and scaling.

Infrastructure as code

Terraform for provisioning, state and modules.

Configuration management

Ansible playbooks, roles, inventories and idempotency.

Observability

Metrics, logs, dashboards, alerting and service-level objectives.

DevSecOps

Secrets management, dependency and image scanning, and pipeline security.

In 45 days, Kubernetes, Terraform, Ansible and observability are introductions; the depth is in Linux, scripting, Git, CI/CD and Docker.

06 — Syllabus & learning roadmap

Day-by-day learning roadmap

This is the planned framework for the 45-day DevOps track. Trainers adapt lesson order, lab hours, prerequisites and assessments for each batch — ask for your batch's current syllabus.

Assessment emphasises repeatable automation, clean version history, safe handling of secrets and clear documentation — not how many tools appear on your CV.

Days 1–8 · Linux and the shell

  1. 01DevOps culture, delivery lifecycle and feedback loops
  2. 02Linux command line and file system
  3. 03Users, permissions and sudo
  4. 04Processes, services and systemd
  5. 05Package management and system logs
  6. 06Shell scripting: variables, loops and conditions
  7. 07Shell scripting: functions, exit codes and error handling
  8. 08SSH keys and remote administration

Days 9–12 · Networking and server tools

  1. 09Networking for DevOps: ports, DNS and HTTP
  2. 10Web servers and reverse proxies with Nginx
  3. 11Scheduling jobs with cron
  4. 12Text processing with grep, sed and awk

Days 13–18 · Git and collaboration

  1. 13Git fundamentals: commits and history
  2. 14Branching and merging
  3. 15Resolving merge conflicts
  4. 16Pull requests and code review
  5. 17Branching strategies: trunk-based and Git flow
  6. 18Tags, semantic versioning and releases

Days 19–25 · Continuous integration and delivery

  1. 19Continuous integration concepts
  2. 20Build tools and dependency management
  3. 21Writing a pipeline with GitHub Actions or Jenkins
  4. 22Automated tests as pipeline stages
  5. 23Artefacts and build caching
  6. 24Secrets management in pipelines
  7. 25Deployment strategies: rolling, blue-green and canary

Days 26–33 · Containers

  1. 26Containers versus virtual machines
  2. 27Docker images and containers
  3. 28Writing Dockerfiles
  4. 29Multi-stage builds and image size
  5. 30Volumes and container networking
  6. 31Docker Compose for multi-service apps
  7. 32Container registries and image scanning
  8. 33Kubernetes architecture

Days 34–40 · Kubernetes and infrastructure as code

  1. 34Pods, deployments and services
  2. 35ConfigMaps, secrets and rolling updates
  3. 36Infrastructure as code principles
  4. 37Terraform providers, resources and state
  5. 38Terraform variables, modules and plans
  6. 39Ansible inventories and playbooks
  7. 40Ansible roles and idempotency

Days 41–45 · Observability and capstone

  1. 41Metrics collection with Prometheus
  2. 42Dashboards with Grafana and centralised logs
  3. 43Alerting, incidents and blameless post-mortems
  4. 44Capstone: end-to-end pipeline build
  5. 45Capstone presentation, portfolio and reflection

How every day runs

Manual first

Each topic starts by doing the task by hand — installing, building, deploying — so you understand exactly what the automation will replace and where it can go wrong.

Automate it

Write the script, pipeline stage, Dockerfile or configuration that does the same job, run it twice to check it gives the same result, and break it on purpose to see how it fails.

Commit checkpoint

Commit the work with a clear message and a short README covering how to run it, what it assumes and one improvement for next time.

07 — Course vs internship

Know what you are signing up for

A course usually follows a planned teaching syllabus and assesses the skills you acquire. An internship ordinarily involves work responsibilities, supervision, defined tasks and feedback in an organisational setting. Both can include projects.

We don't use the word internship to imply employment or client assignments where none exist. Ask us for the actual activity description, supervision model, expected hours and the documents provided.

08 — Internship vs industrial training

Naming varies by institution

Industrial training is a term many technical programmes use for a structured practical learning period. Internship may refer to supervised workplace experience. Neither label alone guarantees university approval.

Share your college's official guidelines, required minimum days, assessment format, attendance expectations and project-report template before enrolling — and we will confirm in writing what we can deliver.

09 — Real-world & portfolio projects

Eight DevOps project briefs

Each project starts from a sample application and a description of how it is currently deployed by hand. You map the manual steps, decide what to automate first, build it in small increments under version control, add tests and monitoring, and document how to roll back. Environments are local, lab or sandbox only, and no real credentials are ever committed.

You deliver a Git repository with a readable history, pipeline and infrastructure files, a README that lets someone else run the project from scratch, a runbook for common failures and a short demo showing a change going from commit to running service — plus what you would improve next.

ProjectWorks fromApproachRisk to discuss
CI pipeline for a college projectEducationA sample web application with unit testsGitHub Actions or Jenkins pipeline with linting, tests and build artefactsFlaky tests and pipelines that pass without testing anything
Containerising a legacy applicationManufacturing (fictional inventory system)An older application with manual install instructionsDockerfile, multi-stage build, Compose with a database and health checksHard-coded credentials and oversized, unpatched images
Server provisioning with TerraformStartup (sandbox cloud account)A brief for a small network, server and storageTerraform modules, remote state and plan reviews before applyLeaked state files, cloud cost overruns and resources left running
Web server configuration with AnsibleHosting (lab virtual machines)Three fresh Linux virtual machinesInventory, roles and idempotent playbooks for Nginx, users and firewall rulesConfiguration drift and locking yourself out over SSH
Kubernetes deployment with rolling updatesE-commerce (fictional shop)A containerised front end and APIDeployments, services, ConfigMaps, secrets and a rolling update with rollbackSecrets stored in plain manifests and downtime during updates
Monitoring and alerting stackHealthcare (synthetic appointment service)A running sample service and synthetic loadPrometheus metrics, Grafana dashboards, log collection and alert rulesAlert fatigue and logging personal data
Secure pipeline reviewFinance (fictional payments API)An existing pipeline with deliberate weaknessesSecret scanning, dependency and image scanning, and least-privilege pipeline credentialsCommitted secrets in Git history and over-trusted third-party actions
Backup and log-rotation automationSmall business (lab server)A lab server with a database and growing log filesBash scripts scheduled with cron, with logging, error handling and a restore testSilent failures, full disks and backups never tested

These are training projects on synthetic, licensed, anonymised or permissioned material. They are never described as client work unless such work genuinely took place under proper supervision.

10 — Admission & learning process

Clear and in writing at every step

Communication stays clear and written, so you and your parents understand the scope before deciding.

  1. 1

    Enquiry

    Share your degree, current semester, contact details and preferred duration.

  2. 2

    Counselling

    Review your objectives, prerequisites and whether you need training or supervised workplace experience.

  3. 3

    Written information

    Receive the syllabus, timing, fees, cancellation terms and deliverables.

  4. 4

    Academic check

    Compare the proposed activities with your college or university requirements.

  5. 5

    Onboarding

    Set up your tools, accounts and learning goals.

  6. 6

    Mentoring and review

    Complete labs, receive feedback and revise your project work.

  7. 7

    Assessment

    Present your result and explain its limitations.

  8. 8

    Closure

    Receive the documentation you have actually qualified for.

11 — University & college requirements

Check your handbook first

Students from Chandigarh, Mohali, Panchkula and nearby Punjab or Haryana campuses face different academic rules. Some departments ask for an NOC, joining letter, attendance log, midterm review, completion certificate, project synopsis, supervisor feedback or a final viva.

Ask us which documents are available for your programme and who signs them. No training provider can promise acceptance by every university, so get written approval from your faculty coordinator before paying. Where college formats differ, documents are prepared to match the agreed programme.

12 — Duration & batches

A 45-day learning window

The learning window is 45 days. Ask for your batch's start date, session hours, holidays, assessment dates, delivery mode and location.

If you travel from Mohali, Panchkula, Zirakpur or other nearby areas, check the exact venue and your commute before you commit.

13 — Fees & eligibility

Everything in writing before you pay

Ask for a current written fee table: whether taxes, lab access, materials, project reviews, retests or documentation cost extra, plus payment deadlines, refund terms and prerequisites.

This is a fee-based training programme — not a free, paid or stipend-based internship.

14 — Career opportunities

Directions the skills can lead

These are illustrative directions, not promises of job eligibility or placement. Study real job descriptions, build evidence of your skills and keep learning after the programme.

Junior DevOps engineer

Pipelines, container builds and deployment scripts.

Linux system administrator trainee

Server set-up, users, services, patching and logs.

Build and release trainee

Version control, tagging, artefacts and release notes.

Site reliability trainee

Monitoring, alerting, incident notes and runbooks.

Automation engineer trainee

Shell scripts, configuration management and repeatable set-ups.

Cloud operations support

Provisioning with code, environment maintenance and cost checks.

15 — Certifications & deliverables

Know exactly what you receive

Deliverables include your documented project work, a portfolio or repository, a presentation, an evaluation rubric and a training completion record. Ask us for the exact certificate title, issuer, criteria and format.

A completion certificate does not by itself establish employment, a stipend, an approved university internship or a vendor certification.

16 — Why choose techcadd Chandigarh?

Judge us on what you can verify

Look for published learning outcomes, practical lab time, trainer feedback, transparent schedules, clear assessment criteria and student support.

Ask to see curriculum samples, project examples and faculty profiles. That evidence is worth more than any "best institute" claim.

17 — Student success stories

Genuine, permission-based stories only

A useful case study names the student's programme and stage with consent, explains the starting challenge, shows permitted work and describes a specific skill gained — never invented quotes, employers or salaries.

18 — Training locations

Chandigarh, Mohali and Panchkula

Our centre's address is below. Confirm the delivery mode for your batch before you travel or pay.

TechCADD
SCO 118-120, 2nd Floor, Sector 34-A, Near Sector 34 Market
Chandigarh 160022
Contact and directions

Other 45-day tracks

Inside the training

Where the work actually happens

Lab sessions, mentor reviews and project work from our training batches.

Trainer guiding students at their workstations
Trainer guiding students at their workstations
Students building projects on laptops
Students building projects on laptops
Mentors reviewing work in the aircraft-themed lab
Mentors reviewing work in the aircraft-themed lab
Students soldering a robot kit in the robotics lab
Students soldering a robot kit in the robotics lab
Trainer leading a cyber security class
Trainer leading a cyber security class
Trainer running a small-group session at the lab table
Trainer running a small-group session at the lab table

FAQs

Questions we get every week

If yours is not here, call us — counselling is free and there is no obligation to enrol.

All FAQs

Forty-five days is enough to build a working pipeline that tests and ships a containerised application. Kubernetes and infrastructure as code are introductions; real fluency comes with longer practice.

Yes — many do. Confirm dates and any academic recognition with your department before enrolling.

Often, yes. If your project has code in a Git repository, it can become the application your pipeline builds and deploys — discuss it with your trainer at the start.

You do not need to be a developer, but you will write shell scripts and read application code and configuration files. Scripting is taught from the basics, and any programming experience helps.

No. Linux is the first phase of the programme because almost every DevOps tool runs on it. If you already use the command line, those weeks will move faster.

Yes. BCA students usually start with Linux and Git and build up to pipelines and containers; we check your starting point during counselling.

Yes, if you are comfortable with computers and willing to spend time on the command line. Students from other branches often find automation useful in their own field.

Linux, shell scripting, Git workflows, CI/CD pipelines, Docker, Kubernetes basics, Terraform, Ansible and monitoring — see the roadmap on this page.

Cloud computing is about the platform: networks, servers, storage and databases on a provider. DevOps is about how software is built, tested and released, using automation, pipelines and containers. DevOps pipelines often deploy to the cloud, so the two work together.

No. Tools such as Git, Jenkins, Docker and Kubernetes support it, but DevOps is a set of practices: small, frequent, automated and observable changes, shared between development and operations.

Yes. Docker is covered in depth. Kubernetes is introduced on the 45-day track and taken further on the six-month track.

Usually GitHub Actions or Jenkins, but the exact tools depend on the batch. Ask us to confirm the tool list for your batch before enrolling.

No. You receive an institute certificate of completion, which is not a vendor certification. The training covers foundation topics, and we can talk through which exam might suit you afterwards.

Much of the work runs locally in containers and virtual machines, which needs a reasonable amount of RAM. Some labs may use a cloud sandbox — confirm the requirements for your batch, and if you use your own account, monitor free-tier usage and delete resources after each lab.

Through working scripts and pipelines, repository reviews, quizzes, a fresh-environment test and a final demo and presentation.

It depends on the duration, format and services included. Ask for a written quotation covering taxes, payment terms and refund conditions.

Compare the actual syllabus, how much time is spent building pipelines rather than watching demos, how code is reviewed, batch size and written policies — not the length of the tool list.

Institutions use the words differently. A training course teaches structured skills; an internship usually involves supervised work on defined tasks. Ask us for a written description of the actual experience.

Ask us exactly which document is issued. A training completion certificate is different from an employer-issued internship experience letter.

No. Ask what career support is offered, and don't rely on any placement claim without evidence.

It can support planning and implementing a project, but check your university's project requirements and the assistance it permits.

Projects are guided portfolio projects. We only call a project live or client-based when there is genuine, authorised external work.

Confirm the classroom address, delivery mode and trainer availability with us before you travel or pay.

Ask whether online, hybrid or offline formats are offered for your batch.

One is useful for practice. Ask about the lab setup, software requirements and whether a personal device is required.

A term some colleges use for an approved practical training period. Requirements vary by university and programme.

Yes. Consider the commute to the training location shown on this page.

Send an enquiry with your degree, semester, preferred duration, existing skills and contact details, and we'll send a confirmed syllabus and terms.

20 — Apply

Request the DevOps syllabus

Considering 45-day industrial training in DevOps & Automation in Chandigarh? Request the latest syllabus and compare it with your semester requirements. Share your degree, college or university, current semester, preferred batch, existing skills and project interests.

Ask about upcoming batches

A counsellor will review your degree and timeline before sharing current programme details.

No registration fee. We will never share your number.

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