Best After 12th 9-Month Cloud Computing Program in Jalandhar
A complete 9-month cloud computing diploma: start from Linux basics and finish with architecture reviews, production Kubernetes on EKS, SRE practices and a full MLOps capstone — everything you need for a cloud or DevOps career.
Cloud Computing Diploma Program Course in Jalandhar
Enrol in the 9-Month Cloud Computing program after 12th at techcadd Jalandhar (4.9★, 556+ reviews). Covers Linux, AWS, networking, DevOps, CI/CD, Docker, Kubernetes on EKS, Terraform, security engineering, AI services, SRE with FinOps, MLOps and an expert capstone — 9 months of practical training with placement support.
Key Highlights :
- Duration: 9 Months
- Mode: Practical + Theory
- Eligibility: 12th Pass, Any Stream
- Includes: Certificate + Placement Support
Course Overview
The 9-month cloud computing diploma at techcadd covers everything from Linux basics to advanced architecture and MLOps. You progress month by month through networking, AWS core services, DevOps, CI/CD, Docker, Kubernetes, Terraform, security, AI services, SRE and a final expert capstone — with hands-on labs in every session.
The first three months build your foundation (Linux, networking, AWS core). The next three months deepen your skills (serverless, containers, CI/CD, monitoring). The final three months take you to production-level work — architecture reviews, EKS operations, GitOps, SRE with cost optimisation and MLOps. Nothing is skipped and nothing is repeated.
What You'll Learn
Every module ends in something you have built and a trainer has reviewed, so the list below is work you will have done rather than topics you will have heard about.
- 01
Foundations to production in one course
You start with Linux and finish with architecture reviews, EKS operations, SRE and MLOps — nine months that build on each other without gaps or restarts.
- 02
Architecture you review, not just draw
Failure-mode and effects analysis, blast-radius reduction, chaos experiments and game-day exercises, all written up as architecture decision records.
- 03
Cost is an engineering output
Right-sizing, savings plans, spot strategy, tagging and cost allocation, and FinOps reporting to non-technical stakeholders — with measured savings as the deliverable.
- 04
Three artefacts, then one system
A cloud operations platform, a security and recovery review and an MLOps deployment — then the expert capstone that integrates infrastructure, application, AI, security, automation and observability, ending in an architecture presentation and technical viva.
Course Curriculum
The course runs month by month across all nine months. Each month lists what you learn, the tools you use in the lab and the project you finish it with — starting at Linux with nothing assumed and ending at a production-grade cloud system you present and defend.
Month 1 — Linux, Basic Scripting, Networking & Git
- 1
Linux basics — installation, the file system, navigation and file management commands, searching and archiving, and text editors (nano, vi).
- 2
Users, groups, permissions and sudo; package management; process and service management; SSH remote access; scheduling jobs with cron.
- 3
Bash scripting for beginners — variables, conditions, loops and functions; writing backup, log-rotation and health-check scripts.
- 4
How networks work — routers, switches and firewalls; the OSI and TCP/IP models; IP addressing and subnetting; DNS, DHCP and NAT.
- 5
TCP versus UDP, HTTP and HTTPS; troubleshooting with ping, traceroute, dig, netstat and curl.
- 6
Git and GitHub — repositories, commits, branches, merging and pull requests, so every project you build later is stored properly.
- 7
Tools used: Linux (Ubuntu / Amazon Linux) · Bash · SSH · cron · Git · GitHub · Wireshark
- 8
Project: a Linux administration lab plus an automation toolkit — backup, log-parsing and health-check scripts on GitHub.
Tools you will actually work in
Everything here is installed on the lab machines and used on live client work, not shown once in a slide and forgotten.
- AWS
Who can do this course
Students straight after 12th
Join from any stream with no assumed technical knowledge. Nine months alongside a degree is the longest and most complete route, and it finishes with the portfolio that makes campus placement straightforward.
Graduates and final-year students
If you are finishing a BCA, B.Sc or B.Tech, this is the difference between applying for a trainee role and applying for a Cloud Automation or AWS DevOps Engineer role.
Career changers going all-in
The weekend batch exists for people already earning. Nine months is the span in which a career switch reaches senior-adjacent roles rather than the bottom rung.
Working cloud and DevOps staff
If you already run infrastructure, the advanced months alone are worth the enrolment — architecture review, EKS operations, GitOps, SRE and FinOps are the skills that move you from doing the work to owning it.
Why this programme is worth your year
Depth, not more breadth
The advanced months introduce almost no new product names. They revisit architecture, security, AI services, Kubernetes, Terraform, observability and MLOps at the standard a working team holds them to.
Architecture as a review discipline
You apply the Well-Architected Framework as a review rather than a poster: failure-mode and effects analysis, chaos experiments, game-day exercises and written architecture decision records.
Audit-standard security
Multi-account strategy, service control policies, permission boundaries, CloudTrail timeline reconstruction, restore drills and compliance evidence — hardening to the standard an auditor expects to see.
Reliability with a number attached
SLIs, SLOs, error budgets, on-call rotation, blameless postmortems, right-sizing and FinOps reporting — ending with measured savings, not an intention to save.
Master advanced architectures, automation, and cloud strategy at scale.
- The right cloud architecture depends on workload, scalability, availability, security, performance and cost. That decision-making framework is the foundation you should understand before building production cloud infrastructure — and it is what the final months focus on.
- Nine months brings infrastructure, applications, AI, security, automation and observability together into one coherent system you can present and defend. The expert capstone is that system, with an architecture presentation, a technical viva and a final evaluation behind it.
Get certified in Cloud Computing Diploma Program
Complete the course with a portfolio of live projects and receive an industry-recognised certificate, plus a documented internship letter accepted by Punjab universities.
Computer Education · JalandharCertificateof Project ExcellenceThis is to certify thatStudent Namehas designed, built and deployed a live capstone project in Cloud Computing Diploma Program, reviewed and graded under industry mentorship.
Computer Education · JalandharCertificateof Course CompletionThis is to certify thatStudent Namehas successfully completed the professional training programme in Cloud Computing Diploma Program with a grade of A+.
Two certificates on completion — the course certificate and a separate capstone project certificate.
Where this course takes you
The roles this opens, what they pay in Punjab and beyond, and who is hiring for them — the same figures our free Salary Estimator publishes, not a brochure number.
Advanced, 6–9 months of preparation. You can combine infrastructure automation, monitoring, security and operational workflow into one repeatable delivery system. Show: the Terraform estate, the CI/CD pipeline, the observability stack and the security report.
The expert-track destination at nine months. You can review architectures, harden AWS estates, run production Kubernetes, control cost and lead a full MLOps capstone. Show: the architecture review, the MLOps deployment and the expert capstone.
Ownership rather than execution — you decide the pattern, write the decision record and are the person the team asks during an incident. The architecture, Kubernetes and SRE months are precisely this job description.
Architecting from stated requirements against availability, latency, durability, security and cost targets. The reference architecture pack and failure-mode analysis from this course are the portfolio for it.
Hands-on projects you will ship
Cloud Operations Platform
Observable environment with SLO dashboards, log aggregation, alert routing and a postmortem.
Security & Recovery Review
Hardened AWS estate with least-privilege policies, audit trail and a tested recovery runbook.
MLOps Deployment
Containerized AI service released through CI/CD with model registry and drift monitoring.
Learn it. Build it. Make it yours.
Every project moves through the same loop: understand the brief, build with guidance, then explain the decisions behind your work.
Understand
Break a real requirement into a clear plan and the right tools.
Cloud Operations PlatformBuild
Work hands-on with trainer feedback while the decisions are still easy to change.
Security & Recovery ReviewPresent
Turn the finished work into a portfolio story you can defend in an interview.
MLOps DeploymentWhy students choose techcadd
Nine campuses across Punjab, 4.9★ from 556+ reviews, and a syllabus that is republished each year rather than reprinted.
Progress based on skill, not just time
You advance when a deliverable passes review. Over nine months that matters more, not less — nobody reaches the expert capstone without earlier work actually passing.
Live AWS, licensed and supervised
From the early months every session runs in a real AWS account with real billing alarms. By the final months you are optimising that account's cost as a graded exercise.
Trainers who still ship
The people teaching EKS operations and GitOps delivery are the people running them for client work, which is why the troubleshooting sections name CrashLoopBackOff and OOMKills rather than generic failures.
The complete course in one enrolment
Nine months, one sequence and no restarts. This is the full programme from Linux basics to expert capstone — not a track that assumes you will come back for the rest.
Frequently asked questions
Find answers to the questions students ask before enrolling.
Nine months (36 weeks) of training. Weekday, evening and weekend batches cover the same syllabus, and 1-on-1 training is available if you would rather set your own pace. Every class runs for 2 hours, whichever format you choose.
The 9-month course covers everything in the 6-month course and adds three more months of advanced content: architecture and resilience engineering, security engineering and compliance, production AI service engineering, Kubernetes operations at scale on EKS, GitOps infrastructure automation, site reliability with cost optimisation, and MLOps with a final expert capstone.
No. The course begins with Linux administration taught from scratch, and it is built for career changers and students joining straight after 12th from any stream. Nine months is the longest runway from that starting point to a senior-level job description.
The opposite. The final months introduce almost no new product names — they revisit architecture, security, AI services, Kubernetes, Terraform, observability and MLOps at production standard. You learn Kubernetes first with the basics, then return to it as node groups, RBAC design, canary rollouts and CrashLoopBackOff triage.
Three portfolio projects: a cloud operations platform with SLO dashboards, log aggregation and a postmortem; a hardened AWS estate with least-privilege policies, an audit trail and a tested recovery runbook; and an MLOps deployment with model registry and drift monitoring. They finish in an expert capstone that integrates infrastructure, application, AI, security, automation and observability into one system, with an architecture presentation and technical viva.
Senior Cloud/DevOps Engineer, Cloud Automation Engineer, AWS DevOps Engineer and Cloud Solutions Architect Associate. These interviews ask you to review an architecture, explain a failure and justify a cost decision — which is exactly what this course trains you for.
A fresher entering with the complete portfolio typically starts around ₹30,000 – ₹55,000 per month in the Jalandhar and Ludhiana market, with advanced roles rising well beyond that within two years. Cloud, DevOps and SRE roles also carry the strongest remote and freelance opportunity of anything in this catalogue.
Yes, and nothing is repeated. The 3-month and 6-month courses are subsets of this one — each picks up where the previous one ended. Content you have already completed is never re-taught, so extending costs you only the new months.
No training provider can honestly guarantee a job, and you should be cautious of anyone in Jalandhar who claims one. techcadd guarantees placement support: CV reviews, mock interviews, portfolio preparation and repeated drives with hiring partners across Jalandhar and Ludhiana.
Ask about Cloud Computing Diploma Program
Send your question and a counsellor will call you back about batch timings, fees, EMI options, placement record, or whether this course fits your degree.
- info@techcadd.com
- Phone
- +91 98881 22254
- Address
- 2nd Floor, Crystal Plaza, SCS 78, Opposite PIMS Hospital, Jalandhar, Punjab 144001
- Counselling hours
- Monday – Saturday, 9:00 AM – 7:00 PM
Not sure if Cloud Computing Diploma Program is the right fit?
One call with a counsellor is usually enough to find out. Book a free demo class and see the lab before you decide.