Best After 12th 9-Month Cloud Computing Program in Jalandhar
The expert stage of the cloud ladder: reviewing an architecture rather than drawing one, hardening an AWS estate to audit standard, running Kubernetes on EKS through upgrades and incidents, and shipping models through a governed MLOps pipeline.
Cloud Computing Diploma Program Course in Jalandhar
Enrol in the 9-Month Cloud Computing Architect program after 12th at techcadd Jalandhar (4.9★, 556+ reviews). The expert stage, modules 19–25: architecture and resilience engineering, AWS security engineering and compliance, production AI services, Kubernetes operations on EKS, GitOps, SRE with FinOps, and MLOps at scale with an expert capstone.
Key Highlights :
- Duration: 9 Months
- Modules: 7
- Eligibility: 12th Pass, Any Stream
- Includes: Certificate + Placement Support
Course Overview
The nine-month Architect track is Stage 3 of techcadd's cloud ladder, and this is what it covers: modules 19 to 25. A structured twelve-week extension that deepens the exact domains already covered rather than introducing new ones — 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.
The stages before it come first and each has its own page: the foundation, modules 01 to 10, on the 3-month program, and the professional track, modules 11 to 18, on the 6-month one. Nothing is removed to make room for this stage — each continues the last, and you never restart a module you have already passed.
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
A second pass, not a longer list
Stage 3 introduces almost no new products. Kubernetes returns as EKS operations, Terraform as GitOps at scale, observability as SRE with error budgets — the same domains at the standard a working team holds them to.
- 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 seven expert modules, in teaching order. Each names its topics, the named tool stack used in its labs and the artefact you finish it with. The foundation stage is set out on the 3-month program page and the professional stage on the 6-month one.
Cloud Architecture & Resilience Engineering — Weeks 25–26
- 1
Architecting from stated requirements — availability, latency, durability, security and cost targets; applying the Well-Architected Framework as a review discipline.
- 2
Multi-AZ and multi-region patterns; active-active versus active-passive; stateless application design and session handling.
- 3
Caching layers with CloudFront and ElastiCache; decoupling with queues, topics and events; database scaling patterns — read replicas, caching, partitioning and connection pooling.
- 4
Failure-mode and effects analysis; blast-radius reduction and bulkheads; chaos experiments and game-day exercises.
- 5
Capacity planning and load modelling; writing reference architectures and architecture decision records.
- 6
Tool stack: AWS VPC · ALB · Auto Scaling · Route 53 · CloudFront · ElastiCache · CloudWatch · Well-Architected Tool
- 7
Deliverable: Reference architecture pack + failure-mode analysis + game-day exercise report + architecture decision records.
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, Stage 3 alone is 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 expert stage introduces almost no new product names. It revisits architecture, security, AI services, Kubernetes, Terraform, observability and MLOps at the standard a working team holds them to.
Architecture as a review discipline
Module 19 applies 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
Module 20 is 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. Module 24 ends 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 expert stage spends twelve weeks 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. Modules 19, 22 and 24 are precisely this job description.
Architecting from stated requirements against availability, latency, durability, security and cost targets. Module 19's reference architecture pack and failure-mode analysis 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.
Capability-gated, not calendar-gated
You advance when a deliverable passes review. Over thirty-six weeks that matters more, not less — nobody reaches the expert capstone without the eighteen modules behind it actually passing.
Live AWS, licensed and supervised
From Module 05 every session runs in a real AWS account with real billing alarms. By Module 24 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 ladder in one enrolment
Twenty-five modules, three stages, one sequence and no restarts. This is the full programme rather than a track that assumes you will come back for the rest.
Frequently asked questions
Find answers to the questions students ask before enrolling.
Thirty-six weeks in total. This page sets out the expert stage, modules 19 to 25, which is the twelve weeks that follow the professional stage. 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 nine-month track continues where the six-month one stops. Everything on the 6-month page comes first; this page is the seven-module expert extension that follows it, deepening the same domains rather than replacing them: 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 ladder begins at Module 01 with Linux administration taught from nothing, and the programme is explicitly built for career changers and students joining straight after 12th from any stream. Nine months is simply the longest runway from that starting point to a senior-adjacent job description — by the time this stage begins you have twenty-four weeks of AWS and DevOps behind you.
The opposite. Stage 3 introduces almost no new product names — it revisits architecture, security, AI services, Kubernetes, Terraform, observability and MLOps at production standard. Module 22 is Kubernetes again, but as node groups, RBAC design, canary rollouts and CrashLoopBackOff triage.
Three portfolio projects at this stage: 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 what Stage 3's deliverables are.
A fresher entering with the complete portfolio typically starts around ₹30,000 – ₹55,000 per month in the Jalandhar and Ludhiana market, with the expert-track 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 three tracks are nested rather than parallel — Stage 2 begins where Stage 1 ended and Stage 3 where Stage 2 ended. A module you have already passed is never re-taught, so extending costs you the new modules only.
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.