Linux & Bash Automation Toolkit
A Linux administration lab plus an automation toolkit — backup, log-parsing and health-check scripts, on GitHub.
- Linux
- Bash
- Git
Best After 12th 9-Month Cloud Computing Program in Phagwara
Rated on Google4.9556+ reviews
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 Course in Phagwara
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.
Key Highlights
- Duration:
- 9 Months
- Eligibility:
- 12th Pass (Any Stream)
- Mode:
- Classroom, Weekend & 1-on-1
- Includes:
- Certificate + Placement Support
Overview
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
Linux through architecture reviews, EKS, SRE and MLOps
- 02
Architecture you review, not just draw: FMEA, blast-radius reduction, chaos experiments and decision records
- 03
Security hardened to the standard an auditor expects, with CloudTrail timelines and restore drills
- 04
Production Kubernetes on EKS with RBAC, quotas, canary rollouts and real failure triage
- 05
Cost as an engineering output
right-sizing, spot strategy and FinOps reporting with measured savings
- 06
An expert capstone integrating infrastructure, application, AI, security, automation and observability
SyllabusHands-on
Course Curriculum
The syllabus is arranged so every module produces an asset rather than a set of notes. You will cover month 1 — linux, basic scripting, networking & git, month 2 — cloud basics & core aws: iam, vpc and ec2, month 3 — storage, databases, auto scaling & monitoring, month 4 — serverless aws, ai services & cloud security, and finish with a live project built on Linux, Bash & SSH, Git, GitHub & Wireshark, AWS Console, CLI & IAM. Modules run in the order a real project runs: foundations first, then the core skills, then applied work under supervision, then the portfolio and interview preparation that turn all of it into an offer letter.
Cloud Computing02/04
Core Skills
The working knowledge the job description actually lists.
Month 3 — Storage, Databases, Auto Scaling & Monitoring
What keeps an application up when real traffic arrives.
4 weeks · 24 sessions
Month 4 — Serverless AWS, AI Services & Cloud Security
Running code without managing a server, and hardening everything built so far.
4 weeks · 24 sessions
Month 5 — Docker Containers & Kubernetes
Packaging an application so it runs anywhere, then orchestrating it.
4 weeks · 24 sessions
Topics covered
Amazon S3: buckets and objects, storage classes, lifecycle rules and static hostingBucket policies, versioning and encryptionAmazon RDS: managed databases, backups, snapshots and secure connectionDynamoDB basics: tables, keys and capacity modes; when relational is the right choiceApplication Load Balancer: target groups and health checksAuto Scaling groups and scaling policiesRoute 53 for DNS; CloudWatch monitoring, alarms and dashboardsAn introduction to the AWS Well-Architected FrameworkLambda functions, memory and timeout tuning, and API GatewayEventBridge, SNS and SQS with dead-letter queues; Step FunctionsCloudFormation: templates, stacks, parameters, change sets and drift detectionAWS AI services used practically: Bedrock, Rekognition, Textract and ComprehendCalling them from Python behind a small Streamlit interfaceIAM hardening, encryption at rest and in transit, KMS keysKeeping passwords out of code with Secrets Manager and Parameter StoreACM certificates, AWS WAF and Shield; GuardDuty findingsAWS Backup, retention and a written, tested disaster-recovery planWhat containers are and how they differ from virtual machinesDocker architecture, images and layers; writing DockerfilesBuilding, tagging and versioning images; multi-stage buildsRunning, inspecting and debugging containers; volumes and networksDocker Compose; Docker Hub and Amazon ECR; image scanning with TrivyWhy orchestration is needed, and how a Kubernetes cluster is arrangedPods, ReplicaSets and Deployments; rolling updates and rollbacksServices and Ingress; ConfigMaps and Secrets; namespaces and labelsHealth probes, persistent volumes and pod autoscalingPackaging applications as Helm charts; running Kubernetes on AWS with EKS
The toolchain
Tools you will actually work in
Everything below is installed on the lab machines and used on live client work, not shown once in a slide and forgotten.
- Linux, Bash & SSH
- Git, GitHub & Wireshark
- AWS Console, CLI & IAM
- VPC, EC2, EBS & CloudTrail
- S3, RDS, DynamoDB & Route 53
- ALB, Auto Scaling & CloudWatch
- Lambda, API Gateway, EventBridge, SNS, SQS & Step Functions
- CloudFormation & Terraform
- Bedrock, Rekognition, Textract & SageMaker
- KMS, Secrets Manager, WAF, Shield & GuardDuty
- Docker, ECR, Trivy & Helm
- Kubernetes, kubectl & Amazon EKS
- Jenkins, GitHub Actions & SonarQube
- Ansible
- Prometheus, Grafana, Alertmanager, Loki & ELK
- FastAPI, Cost Explorer & Compute Optimizer
Eligibility
Who can do this course
- 01
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.
- 02
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.
- 03
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.
- 04
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.
The case for itWhy this programme
Why this programme
is worth your year
The right cloud architecture depends on workload, scalability, availability, security, performance and cost — and the people who can weigh those against each other, rather than name services, are what a senior cloud role actually is. That gap is the whole argument for this course: there is local demand, there are budgets, and there are very few trained people to hand the work to.
Build skills that hold up beyond the classroom.
What separates this from a playlist of tutorials is supervision on real work. From the second half of the course you build on live client projects with a trainer beside you, make decisions that have consequences, and correct them the following week. That loop is the skill. No employer in Phagwara will take your word for it without work they can inspect.
Be realistic about the money. A fresher who finishes with a working portfolio starts near the bottom of the band and moves quickly; someone who finishes with a certificate and nothing to show does not. The difference is entirely what you built.
The alternative is what most people try first: free videos, a cheap online course, six months of drifting, and knowledge you cannot demonstrate. A structured programme with live projects, a mentor who corrects you, an internship letter and a placement cell that actually calls employers is the difference between knowing the subject and being hired to do it.
Students reach the Phagwara centre from Banga, Nakodar, Kartarpur and the university belt, and the weekend batch exists so a job or a degree does not have to be paused to attend.
- 01
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.
- 02
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.
- 03
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.
- 04
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.
Why now
The Architecture Decision Is the Job
- The right cloud architecture depends on workload, scalability, availability, security, performance and cost — that decision-making framework 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.
- A fresher entering with the complete portfolio typically starts around ₹30,000 – ₹55,000 per month in this 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.
Certification
Get Certified in Cloud Computing
Complete the course with a portfolio of live projects and receive an industry-recognised certificate, plus a documented internship letter accepted by Punjab universities.
- Industry Certificate
Recognised by employers across Punjab and beyond
- Internship Letter
Based on real client work, not a simulation
- Portfolio of Projects
Live work you can show in any interview
- Placement Support
CV review, mock interviews and hiring drives
Two certificates on completion — the course certificate and a separate capstone project certificate.
Future scope
Where this course takes you
The roles this opens, what they pay in Punjab and beyond, and who is hiring for them — drawn from published job-market listings, not a brochure number.
Advanced, six to nine months of preparation. You 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.
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 are the portfolio for it.
- 05AWS DevOps Engineer
- 06Site Reliability Engineer
- 07MLOps Engineer
- 08Platform Engineer
Salary outlook — Cloud / DevOps Engineer (Diploma)
Reviews architectures, hardens estates, runs production Kubernetes and controls cost. The highest starting band in the After 12th section, reflecting nine months of depth.
- Starting
- ₹30,000–₹55,000/month
- After 2 years
- ₹60,000–₹1,20,000/month
Indicative ranges compiled from public job-market listings. Actual offers vary by employer, skillset and interview performance.
Who is hiring for this
- IT services companies running client cloud estates
- Product companies with production Kubernetes and an on-call rotation
- Managed service providers and consultancies delivering migrations
- Remote roles, which are stronger in this field than anywhere else in this catalogue
Portfolio
Hands-on projects you will ship
Secure AWS Network & Live Site
A secure AWS network of your own with a live website running on EC2 inside it, IAM scoped to least privilege.
- VPC
- EC2
- IAM
- Nginx
Scalable Multi-Tier Application
EC2, S3, RDS, a load balancer and Auto Scaling with CloudWatch dashboards and an architecture diagram.
- ALB
- RDS
- Auto Scaling
- CloudWatch
Cloud Operations Platform
An observable environment with SLO dashboards, log aggregation, alert routing and a written postmortem.
- Prometheus
- Grafana
- Loki
- ELK
Security & Recovery Review
A hardened AWS estate with least-privilege policies, an audit trail and a tested cross-region recovery runbook — plus a game-day exercise report.
- IAM
- KMS
- GuardDuty
- AWS Backup
MLOps Deployment & Expert Capstone
A containerised AI service released through CI/CD with a model registry and drift monitoring — then the expert capstone integrating infrastructure, application, AI, security, automation and observability, with a cost-optimisation report showing measured savings.
- FastAPI
- Docker
- Kubernetes
- Terraform
The working loop
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.
- 01
Understand
Take a real requirement apart before touching a tool — what is being asked, what it needs, and which part to build first.
Linux & Bash Automation Toolkit
- 02
Build
Work hands-on with your trainer watching the screen, so a wrong turn is caught in the same session rather than three weeks later.
Secure AWS Network & Live Site
- 03
Present
Walk through what you built and why you built it that way. This is the interview rehearsal, run against every project rather than once at the end.
Scalable Multi-Tier Application
Why techcadd
Why students choose techcadd
There are many places to learn this in Phagwara and the brochure syllabus looks similar at all of them. What differs is who teaches, whether you ever touch real work, and whether anyone picks up the phone after you have paid. techcadd has trained students across Punjab since 2007 on the same model: small batches, working practitioners as trainers, client projects as coursework.
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.
FAQs
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.
Course information
Ask about Cloud Computing
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.
- Free counselling and demo class
- Weekday, evening, weekend or 1-on-1, all 2-hour classes
- Internship letter and placement support
Get started today
Not sure if Cloud Computing 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.