Flagship project
Linux Lab Environment
Build a working Linux environment with documented system administration tasks.
- Linux
- Bash
Cloud ComputingMost In-Demand
AWS Career Track Course in Ludhiana with Live Projects & Placement Support
AWS Career Track Course course in AmritsarJob-oriented training built on live cloud labs — small batches, daily hands-on practice and 100% placement assistance.
3 / 6 / 9 MonthsIntermediateHybrid
3 / 6 / 9 Months
Duration
Weekday/Weekend
Mode
12th Pass/Any Grad
Eligibility
10-12 Students
Batch Size
Admissions open
AWS Career Track Course · 3 / 6 / 9 Months
Batch timings
- Morning
- Evening
- Weekend
- Live online
About the programme
Course overview
Course overviewtechcadd's AWS Career Track Course in Ludhiana is a practical, lab-based introduction to cloud computing for beginners.
It opens with Linux and Networking fundamentals, then moves into AWS core services, DevOps, Docker, Kubernetes, Terraform, CI/CD, monitoring, security and cloud AI services on real cloud accounts.
You finish with a portfolio of deployed cloud projects, a capstone implementation, CV preparation and interview coaching.
AWS is the operating system of modern business infrastructure. Every company that runs an app, a website, a database, or an AI model now runs it in the cloud — and the majority of it runs on Amazon Web Services. The shift is not coming; it already happened. Manufacturing units, retail chains, IT firms, healthcare providers, and fintech startups across Punjab are all moving workloads to AWS, and each of them needs people who can design, deploy, secure and scale cloud infrastructure. This is one of the few technology fields with sustained demand and a clear career ladder.
techcadd's AWS Career Track Course is built around the tools that appear in actual job descriptions — Linux, Networking, AWS core services, Docker, Kubernetes, Terraform, Jenkins, Prometheus, and Amazon Bedrock — not academic substitutes. You work in a live cloud environment from the first module and finish with a portfolio of deployed cloud projects, not certificates alone. The programme is available in 3, 6, and 9-month tracks, and each longer track includes everything from the shorter one without repeating a module. Batch sizes are capped at 10–12 students, and every deliverable is reviewed weekly by mentors who still work on live cloud deployments.
Placement assistanceLive cloud labsInternship certificate
- Duration
- 3 / 6 / 9 Months
- Level
- Intermediate
- Mode
- Hybrid
- Batches
- Morning, evening & weekend
Module by module
The curriculum, module by module
Module by module curriculumThe AWS Career Track Course is a nested ladder — each longer track includes every module from the shorter tracks and adds more depth. No module is repeated; you continue building on the skills you have already learned.
- Module 01 of 08
Linux & Cloud Foundations
Linux fundamentals and the cloud concepts every AWS service assumes you already know.
Topics covered
- Linux administration
- shell commands
- file systems
- permissions
Tools in this module
LinuxBashYou finish withA working Linux environment with documented system administration tasks
- Module 02 of 08
Networking Fundamentals for Cloud
Networking fundamentals applied to cloud — IP addressing, subnetting, routing, DNS, and VPC design.
Topics covered
- OSI/TCP-IP
- subnetting
- routing
- DNS
- firewalls
- VPC concepts
Tools in this module
Networking toolsAWS VPCYou finish withA documented network design and VPC map
- Module 03 of 08
AWS Core Services
The core AWS services every cloud role assumes — compute, storage, identity, databases, and networking.
Topics covered
- EC2
- S3
- IAM
- RDS
- VPC
- ELB
- Auto Scaling
Tools in this module
AWS EC2S3IAMRDSYou finish withA deployed application on EC2 with S3 storage and IAM roles
- Module 04 of 08
Jenkins CI/CD & Secure Delivery
Building CI/CD pipelines with Jenkins — build, test, artifact management, and secure deployment strategies.
Topics covered
- Jenkins pipelines
- Git integration
- artifact management
- secure delivery
Tools in this module
JenkinsGitSonarQubeTrivyBlue/Green & Canary deploymentsYou finish withA Jenkins pipeline with automated build, test and deployment
- Module 05 of 08
Terraform & Infrastructure as Code
Provisioning AWS infrastructure with Terraform — the standard Infrastructure as Code tool in cloud teams.
Topics covered
- Terraform providers
- modules
- state management
- workspaces
Tools in this module
TerraformAWS providerYou finish withA Terraform-managed AWS environment with reusable modules
- Module 06 of 08
Monitoring, MLOps & AI Deployment
Monitoring cloud infrastructure and deploying AI models with MLOps pipelines.
Topics covered
- Monitoring
- MLOps
- model deployment
- CI/CD for ML
Tools in this module
PrometheusGrafanaELK StackMLflowYou finish withA monitored deployment with dashboards and alerts
- Module 07 of 08
Infrastructure Automation & Delivery Engineering
Automating cloud infrastructure and delivery with GitOps and policy as code.
Topics covered
- GitOps
- policy as code
- automated deployments
- release engineering
Tools in this module
ArgoCDTerraform EnterprisePolicy as CodeYou finish withA GitOps pipeline with automated deployment and policy checks
- Module 08 of 08
Career Readiness & Portfolio
Portfolio building, resume and LinkedIn preparation, and interview readiness for cloud roles.
Topics covered
- Portfolio
- resume
- interview readiness
Tools in this module
PortfolioresumeLinkedInYou finish withAn interview-ready cloud portfolio and resume
What you build
Projects that answer the interview question for you
Portfolio projectsEach project is reviewed individually, and the review notes go into your portfolio documentation.
Cloud Network Design
Design and document a VPC and network map for an AWS workload.
- AWS VPC
- Networking
Deployed EC2 Application
Deploy an application on EC2 with S3 storage and IAM roles.
- EC2
- S3
- IAM
Serverless Workflow
Build a serverless workflow using Lambda, SNS and SQS.
- Lambda
- SNS
- SQS
Cloud AI Application
Build an AI application on AWS managed services like Bedrock or SageMaker.
- Amazon Bedrock
- SageMaker
Containerized Application
Containerize an application with Docker and publish it to a registry.
- Docker
- ECR
Jenkins CI/CD Pipeline
Build a Jenkins pipeline with automated build, test and deployment.
- Jenkins
- Git
- SonarQube
Terraform AWS Environment
Provision a full AWS environment with reusable Terraform modules.
- Terraform
- AWS
Monitored Deployment
Deploy with dashboards and alerts using Prometheus, Grafana and the ELK Stack.
- Prometheus
- Grafana
- ELK
Resilient Architecture
Design a resilient cloud architecture with high availability, DR and cost optimization.
- Well-Architected Framework
- AWS
The working loop
Learn it. Build it. Make it yours.
Learn it. Build it. Make it yours.Every project moves through the same loop: understand the brief, build it with guidance, then explain the decisions behind your work. The certificate is the receipt — the portfolio is the point.
- 01
Industry-focused curriculum
You learn it the way it is used in production, with the workflow and standards a cloud team expects.
Linux Lab Environment
- 02
Live cloud accounts
Every module runs on a real AWS account with real infrastructure, not a simulator or a slide.
Cloud Network Design
- 03
Mentor-reviewed deliverables
Each module ends with a documented artefact reviewed weekly by a mentor who still works on live cloud deployments.
Deployed EC2 Application
- 04
Infrastructure as code from the start
Every resource is provisioned with Terraform and automated with CI/CD, the way production teams work.
Serverless Workflow
The honest pitch
Your months should build more than a certificate.
Your months should build more than a certificate.A course is worth the time you give it only if you finish with work you can show and skills you can defend.
Project review week at the Amritsar campus
Mentors mark up work line by line
Hiring drive & mock interview day
Practitioners run the panel, not HR
Why choose AWS Career Track Course
Why students choose techcadd
Why students choose techcaddWhat makes this course at techcadd different from a typical alternative is that every module is deployed on a live AWS account, so you finish with an end-to-end cloud portfolio rather than disconnected certificates.
- 01
Mentors who still work on live cloud deployments
Not full-time lecturers — trainers who are still doing the job they teach.
- 02
One AWS account, extended through every module
You start the environment in Module 03, extend it through every project, and complete the capstone by Module 15.
- 03
Small batch sizes
10–12 students per batch ensures every student gets personalised feedback on every deliverable.
- 04
Nested, no-repeat curriculum
Longer programs include everything from shorter tracks and add more depth — you never repeat a module.
- 05
Documented internship experience
Every student receives a documented internship certificate alongside their course certificate.
- 06
Placement support
Resume and LinkedIn preparation, interview coaching, and active placement assistance for graduates.
Eligibility
Who can join the AWS Career Track Course course
Who can join the AWS Career Track Course courseThis course works for a specific starting point — here's who gets the most out of it.
- Educational backgroundNo specific degree or stream required — school leavers, graduates and career switchers all qualify.
- Prior experienceNone required. The programme opens at intermediate level and builds from there across 3 / 6 / 9 months.
- AgeNo upper age limit. What matters is being able to commit to the full course rather than dropping off midway.
- EquipmentA laptop or desktop with a stable internet connection for classroom or live-online batches.
- Time commitmentAble to attend regularly across 3 / 6 / 9 months, in a morning, evening or weekend batch.
Where it leads
The roles this portfolio opens
Job titles vary by company, but the underlying expectations do not. Each destination below maps to work you will have already done during the programme.
Tools you will actually use
The working stack for AWS Career Track Course
Tools and technologies coveredEvery tool below is installed, configured and used by you during the course — not demonstrated on a slide. You leave able to set up your own environment from scratch.
20tools covered
Operating system
- Linux
Scripting shell
- Bash
Cloud compute
- AWS EC2
Identity & access
- AWS IAM
Managed database
- AWS RDS
Cloud networking
- AWS VPC
Infrastructure as Code
- CloudFormation
Serverless compute
- Lambda
DNS
- Route 53
Audit logging
- DNS
Event bus
- EventBridge
Pub/sub messaging
- SNS
Queue service
- SQS
Generative AI service
- Amazon Bedrock
ML platform
- SageMaker
Image AI
- Rekognition
Document AI
- Textract
Secret storage
- Secrets Manager
Backup service
- AWS Backup
Managed Kubernetes
- Amazon EKS
Kubernetes automation
- Kubernetes Operators
Certification
Get certified in AWS Career Track Course
Get certified in AWS Career Track CourseIssued on completion against the modules you finished and the projects you submitted — plus an internship letter where the industrial training track applies. Shareable to LinkedIn, and verifiable by an employer who calls the Amritsar desk.
- Module-wise assessment, not attendance-based
- Project submissions logged against your certificate
- Internship letter on the industrial training track
- Verifiable directly with the campus office
Future scope
Where this takes you over the next five years
Where this takes you over the next five yearsThe skill does not stand still, and neither does what it is worth.
- Multi-cloud is the baselineEmployers increasingly assume AWS knowledge will extend to Azure and GCP.
- AI infrastructure is the new layerTeams expect cloud engineers to deploy and monitor AI workloads, not just traditional applications.
The objective is practical knowledge rather than memorised concepts.
Due diligence
How techcadd compares
How techcadd comparesWhat actually differs between this course at techcadd and a typical alternative.
| What you should ask | techcadd Amritsar | Other institutes |
|---|---|---|
| Live cloud work | Every module, from week one | Varies, often only at the end |
| Learning format | One AWS environment extended through every module | Services demonstrated separately, rarely combined |
| Tools used | AWS, Docker, Kubernetes, Terraform, Jenkins, Prometheus, Bedrock | Usually limited to AWS console basics |
| Batch size | 10–12 students per batch | Often 25–40 students per batch |
| Infrastructure as Code | Terraform, CloudFormation, GitOps, ArgoCD | Rarely covered |
| Kubernetes | Amazon EKS with Helm and cluster hardening | Often only theory |
| Monitoring & security | Prometheus, Grafana, ELK, IAM, GuardDuty, KMS | Rarely covered |
| Portfolio | 18 documented cloud deliverables | Often just assignments, not portfolio-ready work |
Every comparison here is about substance, not marketing language.
Before you enrol
Questions we get asked at the admissions desk
Frequently asked questionsIf something here is not covered, the Amritsar desk will answer it directly — no call-back queue.
No. The programme opens at intermediate level and assumes no background beyond comfort with a computer. Students who already have some exposure move through the early modules faster and spend the saved time on project work.
