Best After 12th 6-Month Cloud Computing Program in Jalandhar
The professional stage of the cloud ladder: serverless and event-driven AWS, security engineering and disaster recovery, AI services on Bedrock, Docker, Kubernetes, Jenkins, Terraform and observability with MLOps — eight modules that turn a deployed architecture into an operated platform.
Cloud Computing Certificate Program Course in Jalandhar
Enrol in the 6-Month Cloud Computing Engineer program after 12th at techcadd Jalandhar (4.9★, 556+ reviews). The professional stage, modules 11–18: serverless and event-driven AWS, cloud security and disaster recovery, AWS AI services and Bedrock, Docker, Kubernetes, Jenkins CI/CD, Terraform, Prometheus and MLOps deployment.
Key Highlights :
- Duration: 6 Months
- Modules: 8
- Eligibility: 12th Pass, Any Stream
- Includes: Certificate + Placement Support
Course Overview
The six-month Engineer track is Stage 2 of techcadd's cloud ladder, and this is what it covers: modules 11 to 18. Advanced and event-driven AWS, security engineering and disaster recovery, AI and generative-AI services on AWS, Docker, Kubernetes, Jenkins, Terraform, observability and AI model deployment — eight modules that take you from deploying infrastructure to operating it.
The foundation stage — Linux, Bash, networking, Git and core AWS, modules 01 to 10 — comes first and is set out on the 3-month program page. Progression stays capability-gated: you advance when a deliverable passes review, not when the calendar says so, and every module specifies the same four things — topics in teaching order, the named tool stack, the production problem it solves and the artefact you keep.
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
Eight modules, one arc
Module 11 starts at event-driven AWS and Module 18 ends at a monitored AI service in a pipeline. Every module in between is a step along that single line rather than a separate topic.
- 02
Two infrastructure-as-code tools, deliberately
CloudFormation in Module 11 and Terraform in Module 17. Knowing why a team picks one over the other is a real interview question, and you can only answer it having used both.
- 03
Security before containers
KMS, Secrets Manager, WAF, GuardDuty and a tested DR runbook land in Week 15 — before Docker, so secrets are never something bolted on to an image that already shipped.
- 04
It ends observable
The final module is Prometheus, Grafana, Loki and an AI model behind FastAPI in a pipeline — a system you can watch, alert on and redeploy, which is what running software actually means.
Course Curriculum
The eight professional 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 — Linux, Bash, networking, Git and core AWS — comes first and is set out in full on the 3-month program page.
Advanced AWS & Serverless Architecture — Weeks 13–14
- 1
CloudWatch log groups, metric filters, composite alarms, Logs Insights and dashboards; CloudTrail trails, event history, log-file validation and multi-region trails.
- 2
AWS Config rules and resource timelines; CloudFormation templates, stacks, parameters, mappings, conditions, outputs and nested stacks; change sets and drift detection.
- 3
Route 53 advanced routing — weighted, latency, failover and geolocation, with health checks.
- 4
AWS Lambda runtimes, handlers, layers, environment variables, memory and timeout tuning, concurrency and cold starts; API Gateway REST and HTTP APIs.
- 5
EventBridge buses, rules, patterns and schedules; SNS topics, subscriptions and filtering; SQS standard and FIFO queues, visibility timeout and dead-letter queues.
- 6
Step Functions state machines; designing event-driven and serverless workflows.
- 7
Tool stack: Lambda · API Gateway · EventBridge · SNS · SQS · Step Functions · CloudFormation · CloudWatch · CloudTrail · Route 53
- 8
Deliverable: CloudFormation infrastructure-as-code stack + event-driven serverless workflow + CloudWatch dashboard and alarms.
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. Six months alongside a first-year degree is the most common pattern here, using the weekday or weekend batch.
Graduates and final-year students
If you are finishing a BCA, B.Sc, BBA or B.Tech, this puts a CI/CD pipeline, a Kubernetes deployment and a Terraform repository in your portfolio before placement season rather than after it.
Career changers
The weekend batch exists for people already earning. Six months is enough to become interview-ready for Cloud Engineer and Junior DevOps Engineer roles without leaving your current job.
Developers moving into DevOps
If you already write code, modules 15 to 18 are the ones that change your title. Containers, orchestration, pipelines and observability are the skills that separate a developer from someone who can also ship and run what they wrote.
Why this programme is worth your year
Operating, not just deploying
Anyone can launch an EC2 instance. This stage is the pipeline that ships changes safely, the cluster that heals itself, the secrets that are not in the repository and the dashboard that shows a problem before a user reports it.
Infrastructure as code, not clicked into existence
CloudFormation in Module 11 and Terraform in Module 17 mean every environment you build is a reviewable file with a state file behind it — which is how infrastructure is actually managed once more than one person touches it.
AI as a managed service, not a science project
Modules 13 and 14 cover the model lifecycle honestly and then connect Amazon Bedrock, Rekognition, Textract and Comprehend to a real application, with prompts, guardrails and cost notes documented.
Five artefacts, not one certificate
A serverless workflow, an AI chatbot on Bedrock, a containerised application on Kubernetes, an automated CI/CD pipeline and a Terraform repository — each of which can be opened and defended in an interview.
Design, deploy and manage secure, scalable and reliable cloud solutions.
- Cloud computing turns infrastructure into a service: organisations provision resources on demand, scale them when workloads change, secure them through policy, automate them as code and pay only for what they use. Somebody has to build and run that, and at six months you are that person rather than the one assisting them.
- The professional half of this track is the half employers name in job descriptions — Docker, Kubernetes, Jenkins, Terraform, Prometheus and Grafana. Those words are on almost every DevOps listing in Punjab, and modules 15 to 18 are where you actually earn them.
Get certified in Cloud Computing Certificate 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 Certificate 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 Certificate 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.
Early career, 3–6 months of preparation. You can deploy AWS workloads with storage, databases, scaling, monitoring and a secure multi-tier architecture. Show: the EC2/S3/RDS deployment, the ALB and Auto Scaling build, and the CloudWatch dashboards.
The same role named for the platform. Interviews focus on VPC design, IAM policy, cost decisions and what you did when something failed — all of which are graded deliverables in this track rather than theory.
Early career at six months. You can containerize applications and automate delivery with Jenkins, Docker, Kubernetes and Terraform. Show: the CI/CD pipeline, the Kubernetes application and the infrastructure-as-code repository.
The common entry point into a platform team: maintaining pipelines, responding to alerts, promoting images and applying Terraform changes under review. Modules 15 to 18 are exactly this job.
Hands-on projects you will ship
Event-Driven Serverless Workflow
Lambda, EventBridge, SNS and SQS pipeline defined and deployed through CloudFormation.
AI Cloud Chatbot
AI-powered chatbot built on AWS Bedrock with Python, Streamlit and S3 storage.
Containerized Application
Dockerized application packaged with Compose and deployed onto Kubernetes with Helm.
Automated CI/CD Pipeline
GitHub-to-Jenkins pipeline with quality gates, image scanning and Kubernetes deployment.
Infrastructure as Code
Reusable Terraform configuration for AWS infrastructure with remote state and locking.
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.
Event-Driven Serverless WorkflowBuild
Work hands-on with trainer feedback while the decisions are still easy to change.
AI Cloud ChatbotPresent
Turn the finished work into a portfolio story you can defend in an interview.
Containerized ApplicationWhy 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. Nobody is moved from Kubernetes to CI/CD because the timetable says Week 21.
Live AWS, licensed and supervised
From Module 05 every session runs in a real AWS account with real billing alarms — under trainer supervision, so mistakes are teaching moments rather than invoices.
Trainers who still ship
The people teaching Terraform modules and Jenkins shared libraries are the people writing them for client work, which is why the troubleshooting sections cover failures that actually happen.
A ladder you can extend
Finish here at Module 18, or continue into the nine-month expert track later. Stage 3 begins at Module 19 — you never repeat a module you have already passed.
Frequently asked questions
Find answers to the questions students ask before enrolling.
Twenty-four weeks in total. This page sets out the professional stage, modules 11 to 18, which is the twelve weeks that follow the foundation 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 tracks nest rather than run in parallel. The three-month program is the foundation stage, modules 01 to 10 — Linux, networking, Git and core AWS ending in a multi-tier capstone, all set out on its own page. Six months adds the eight modules on this page: serverless and event-driven AWS, cloud security and disaster recovery, AI and Bedrock services, Docker, Kubernetes, Jenkins CI/CD, Terraform, and observability with MLOps deployment.
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. By the time this stage starts you have had twelve weeks of Linux, Bash, networking and AWS behind you; Python then appears in Module 13.
Docker and Docker Compose, Kubernetes with Helm on Minikube and Amazon EKS, Jenkins with declarative pipelines, GitHub Actions, SonarQube and Trivy for quality and image scanning, Terraform for infrastructure as code, and Prometheus, Grafana, Loki and ELK for observability. Each is a graded module with an artefact, not a mention.
Five portfolio projects at this stage: an event-driven serverless workflow, an AI chatbot on Bedrock, a containerised application on Kubernetes, an automated CI/CD pipeline with quality gates, and a reusable Terraform configuration with remote state. The final module ties them into an end-to-end AI cloud project with monitoring dashboards, alert routing and a presentation.
Cloud Engineer, AWS Cloud Engineer, DevOps Engineer, Junior DevOps Engineer and Cloud/DevOps Associate. These are early-career engineering roles rather than trainee ones, and every one of those interviews asks to see a pipeline and an architecture you built.
A fresher with a working AWS and DevOps portfolio typically starts around ₹25,000 – ₹45,000 per month in the Jalandhar and Ludhiana market, rising substantially within two years. Cloud and DevOps roles also carry more remote and freelance opportunity than most.
Yes, and nothing is repeated. Stage 3 begins at Module 19 — a seven-module expert extension covering architecture review, security engineering at scale, production AI services, Kubernetes operations on EKS, GitOps, SRE with cost optimisation and MLOps at scale. It has its own page.
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 Certificate 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 Certificate 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.