Do I need prior experience to join the Cloud Computing Hands-On Project Course course?

No. The programme opens at beginner 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.

How long is the course and how are batches scheduled?

It runs across flexible batches, with morning, evening and weekend batches. Working professionals usually take the weekend track; full-time students generally take the weekday morning batch.

Is this classroom training or online?

Both. The Amritsar campus runs classroom batches with lab access, and the same syllabus is delivered live online for students outside the city. Recordings are available either way for revision.

What kind of projects will I build?

10 portfolio projects, starting with linux & bash automation lab and building to a capstone. They are reviewed individually, and the review notes go into your portfolio documentation.

Is placement support included?

Yes. Every enrolled student gets resume and portfolio review, mock interviews with practitioners, and access to the hiring drives we run through the year. Support continues after the course ends.

Can I pay the fee in instalments?

Yes — instalment plans are available and are agreed at the counselling stage. Speak to the Amritsar admissions desk for the current structure for this programme.

Cloud Computing Hands-On Project Course Course

About the programme

Course overview

techcadd's Cloud Computing Hands-On Project Course in Amritsar is a lab-based, professional-level programme for learners who want to work as cloud engineers, DevOps engineers, or cloud architects.

It opens with Linux administration, networking, and AWS fundamentals, then moves into compute, storage, databases, serverless, security, Infrastructure as Code, CI/CD, containers, Kubernetes, monitoring, and AI-powered cloud solutions.

You finish with a professional portfolio of deployed cloud architectures, a capstone project, CV preparation and interview coaching.

Cloud computing is the practice of delivering computing resources — servers, storage, databases, networking, security, and software — over the internet. At the professional level, the job changes from clicking buttons in a console to owning cloud environments — architecting them, automating them, securing them, optimizing costs, and defending them to a business. That is the layer this programme trains you for. Startups, IT firms, banks, and healthcare providers across Punjab are all migrating to the cloud, and each of them needs engineers who can design, deploy, secure and explain a cloud environment before it becomes a costly mistake.

Techcadd's Cloud Computing Hands-On Project Course is built around the tools that appear in actual job descriptions — Linux, AWS, Docker, Kubernetes, Terraform, Jenkins, Prometheus, and AI services like Bedrock and SageMaker — not academic substitutes. You work in a hands-on cloud lab from the first week and finish with a professional portfolio of deployed architectures, a capstone project, and interview-ready documentation. 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 engagements.

Linux & Cloud Fundamentals AWS Core ServicesNetworking & SecurityServerless & Advanced AWSContainers & Kubernetes Infrastructure as CodeCI/CD & Automation Monitoring, MLOps & AICloud Architecture & ResilienceCapstone, Certification & Placement

Inside the Amritsar lab — a walkthrough of the cloud computing hands-on project course track.

Duration: Flexible batches
Level: Beginner to advanced
Mode: Hybrid
Batches: Morning, evening & weekend

Module by module

The curriculum, module by module

The Cloud Computing Hands-On Project 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 15
Linux Administration & Bash Automation
Linux fundamentals — file systems, users and permissions, shell scripting, process management, package management, and system monitoring.
Topics covered
Linux fundamentals
file systems
users & permissions
shell scripting
process management
package management
system monitoring
Tools in this module
LinuxBash
You finish with
A configured Linux environment with documented permissions and automation scripts
Module 02 of 15
AWS Fundamentals, IAM & VPC
AWS fundamentals — global infrastructure, regions and availability zones, IAM users, roles, policies, VPC, subnets, route tables, and internet gateway.
Topics covered
AWS Global Infrastructure
Regions & Availability Zones
IAM Users
Roles
Policies
VPC
Subnets
Route Tables
Internet Gateway
Tools in this module
AWS ConsoleAWS IAMAWS VPC
You finish with
A configured AWS account with IAM users, roles, and a VPC architecture
Module 03 of 15
EC2, Storage, Databases & Scaling
AWS compute, storage, and databases — EC2, AMIs, security groups, load balancing, auto scaling, S3, EBS, RDS, DynamoDB, and ElastiCache.
Topics covered
EC2
AMIs
Security Groups
Load Balancing
Auto Scaling
S3
EBS
RDS
DynamoDB
ElastiCache
Tools in this module
AWS EC2S3EBSRDSDynamoDBElastiCache
You finish with
A deployed EC2 instance with auto scaling, S3 storage, and RDS database
Module 04 of 15
AWS Networking, Security & Architecture
AWS networking, security, and architecture — VPC peering, NAT gateway, ALB, Route53, CloudFront, security best practices, WAF, Shield, and the Well-Architected Framework.
Topics covered
VPC Peering
NAT Gateway
ALB
Route53
CloudFront
Security Best Practices
Shield
Well-Architected Framework
Tools in this module
AWS VPCRoute 53CloudFrontWAFShield
You finish with
A documented network architecture with security best practices
Module 05 of 15
Git & GitHub
Git branching and GitHub workflows so scripts, templates and documentation are version-controlled like a professional project.
Topics covered
Version control
repo hygiene
professional workflow
Tools in this module
GitGitHub
You finish with
A GitHub portfolio repository with your AWS scripts and templates
Module 06 of 15
Advanced AWS & Cloud Operations
Advanced AWS services — Infrastructure as Code with CloudFormation, serverless with Lambda, DNS with Route 53, auditing with CloudTrail, event-driven architecture with EventBridge, messaging with SNS and SQS, and monitoring.
Topics covered
CloudFormation
Lambda
Route 53
CloudTrail
EventBridge
SNS
SQS
Monitoring
Infrastructure as Code
Tools in this module
AWS CloudFormationLambdaRoute 53CloudTrailEventBridgeSNSSQS
You finish with
A deployed serverless application with CloudFormation and monitoring
Module 07 of 15
AI Foundations & Generative AI on Cloud
AI and Generative AI on AWS — AI fundamentals, machine learning, LLMs, prompt engineering, and building AI applications with Bedrock, SageMaker, Rekognition and Textract.
Topics covered
AI Fundamentals
Machine Learning
LLMs
Prompt Engineering
Amazon Bedrock
SageMaker
Rekognition
Textract
AI Application Development
Tools in this module
Amazon BedrockSageMakerRekognitionTextract
You finish with
A deployed AI-powered application using Bedrock or SageMaker
Module 08 of 15
Docker & Containerization
Containerization with Docker — containers, images, Dockerfile, Docker Compose, networks, volumes, registries, and multi-stage builds.
Topics covered
Containers
Images
Dockerfile
Docker Compose
Networks
Volumes
Registries
Multi-stage Builds
Tools in this module
DockerDocker ComposeDocker Hub
You finish with
A containerized application with Docker Compose published to a registry
Module 09 of 15
Jenkins CI/CD & Secure Delivery
CI/CD with Jenkins — pipelines, Git integration, build, test, artifact management, SonarQube, Trivy, and Blue/Green & Canary deployments.
Topics covered
Jenkins Pipelines
Git Integration
Build
Test
Artifact Management
SonarQube
Trivy
Blue/Green & Canary Deployments
Tools in this module
JenkinsSonarQubeTrivyGit
You finish with
A Jenkins CI/CD pipeline with security scanning and deployment strategies
Module 10 of 15
Terraform & Infrastructure as Code
Infrastructure as Code with Terraform — providers, modules, state management, workspaces, AWS resources, and infrastructure automation.
Topics covered
Terraform Providers
Modules
State Management
Workspaces
AWS Resources
Infrastructure Automation
Tools in this module
TerraformAWSGitHub
You finish with
A Terraform template published to GitHub that deploys AWS infrastructure
Module 11 of 15
Cloud Architecture & Resilience Mastery
Cloud architecture and resilience — Well-Architected Framework, multi-account strategy, high availability, disaster recovery, and cost optimization.
Topics covered
Well-Architected Framework
Multi-Account Strategy
High Availability
Disaster Recovery
Cost Optimization
Tools in this module
AWS Well-Architected Framework, AWS Organizations, AWS Backup
You finish with
A Well-Architected review and disaster recovery plan
Module 12 of 15
AWS Security Engineering & Recovery
AWS security engineering — IAM best practices, Security Hub, GuardDuty, KMS, Secrets Manager, backup, recovery, and incident response.
Topics covered
IAM Best Practices
Security Hub
GuardDuty
KMS
Secrets Manager
Backup
Recovery
Incident Response
Tools in this module
AWS IAMSecurity HubGuardDutyKMSSecrets ManagerAWS Backup
You finish with
A security assessment report with encryption, GuardDuty and incident response plan
Module 13 of 15
Cloud AI Services Engineering
Cloud AI services engineering — Bedrock, SageMaker Advanced, Comprehend, Forecast, Textract, Personalize, and custom AI solutions.
Topics covered
Amazon Bedrock
SageMaker Advanced
Comprehend
Forecast
Textract
Personalize
Custom AI Solutions
Tools in this module
Amazon BedrockSageMakerComprehendForecastTextractPersonalize
You finish with
A deployed custom AI solution with documentation
Module 14 of 15
Production Containers & Kubernetes Operations
Production Kubernetes on AWS — EKS, Helm, Kubernetes Operators, autoscaling, service mesh, GitOps, and cluster hardening.
Topics covered
EKS
Helm
Kubernetes Operators
Service Mesh
GitOps
Cluster Hardening
Tools in this module
AWS EKSHelmKubernetesGitOpsService Mesh
You finish with
A production-grade EKS cluster with Helm and GitOps
Module 15 of 15
Infrastructure Automation & Delivery Engineering
Infrastructure automation and delivery engineering — GitOps, ArgoCD, Terraform Enterprise, Policy as Code, automated deployments, and release engineering.
Topics covered
GitOps
ArgoCD
Terraform Enterprise
Policy as Code
Automated Deployments
Release Engineering
Tools in this module
ArgoCDTerraform EnterpriseGitOpsPolicy as Code
You finish with
A GitOps-driven deployment pipeline with ArgoCD and Policy as Code

What you build

Projects that answer the interview question for you

Each project is reviewed individually, and the review notes go into your portfolio documentation.

Flagship project

Linux & Bash Automation Lab

Configure a Linux environment with users, permissions, and Bash automation scripts.

Linux
Bash

02

AWS Account & IAM Setup

Configure an AWS account with IAM users, groups, roles, policies and MFA.

AWS IAM
AWS Console

03

VPC Architecture Build

Build a VPC with public and private subnets, route tables, internet gateway, NAT gateway, security groups and NACLs.

AWS VPC
Route 53

04

EC2 Auto Scaling & Load Balancing

Deploy an EC2 instance with auto scaling and load balancing.

AWS EC2
ELB
Auto Scaling

05

S3 Bucket with Lifecycle Policies

Configure an S3 bucket with lifecycle policies and versioning.

AWS S3
Glacier

06

RDS Database with Backups

Deploy an RDS database with automated backups and recovery.

AWS RDS
Aurora

07

CloudWatch Dashboard & Alarms

Build a CloudWatch dashboard with alarms and log analysis.

AWS CloudWatch
CloudTrail
SNS

08

Serverless Application

Deploy a serverless application with API Gateway, Lambda and DynamoDB.

AWS Lambda
API Gateway
DynamoDB

09

Infrastructure as Code Template

Write and publish a CloudFormation or Terraform template to GitHub.

AWS CloudFormation
Terraform
GitHub

10

CI/CD Pipeline

Build a CI/CD pipeline with Jenkins, CodePipeline, CodeBuild and CodeDeploy.

Jenkins
AWS CodePipeline
CodeBuild
CodeDeploy

The working loop

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 on real cloud engagements, with the workflow and standards a cloud team expects.
Linux & Bash Automation Lab
02
Live labs, not slides
Every module runs in a hands-on cloud lab against real AWS accounts — not screenshots.
AWS Account & IAM Setup
03
Mentor-reviewed deliverables
Each module ends with a documented architecture, reviewed weekly by a mentor who still works on live cloud engagements.
VPC Architecture Build
04
Reporting and certification
Every exercise ends with a written report, and the programme closes with a practical assessment and certification.
EC2 Auto Scaling & Load Balancing

The honest pitch

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 Cloud Computing Hands-On Project Course

Why students choose techcadd

What makes this course at techcadd different from a typical alternative.

01
Mentors who still ship client work
Not full-time lecturers — trainers who are still doing the job they teach.
02
Live labs, not slides
Every module runs in a hands-on cloud lab against real AWS accounts — not screenshots.
03
Tools used in job descriptions
Linux, AWS, Docker, Kubernetes, Terraform, Jenkins — not outdated or academic substitutes.
04
Nested ladder structure
Each longer track includes every module from the shorter one without repeating a module.
05
AI-assisted learning
You learn to use AI assistants and prompt engineering as practical tools in cloud engineering.

Eligibility

Who can join the Cloud Computing Hands-On Project Course course

This 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 beginner level and builds from there across flexible batches.
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 flexible batches, 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 Cloud Computing Hands-On Project Course

Every 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 platform

AWS Management Console

Command line

AWS CLI

Identity & access

AWS IAM

Networking

AWS VPC
AWS Transit Gateway
AWS VPN
AWS Direct Connect

Compute

AWS EC2

Storage

AWS S3
AWS EBS

Database

AWS RDS
AWS DynamoDB

Caching

AWS ElastiCache

Serverless

AWS Lambda
AWS API Gateway

Messaging

AWS SQS
AWS SNS

Streaming

AWS Kinesis

Orchestration

AWS Step Functions
Kubernetes

Event bus

AWS EventBridge

IaC

AWS CloudFormation
Terraform

CI/CD

AWS CodePipeline
AWS CodeBuild
AWS CodeDeploy
Jenkins

Containers

AWS ECS
AWS EKS
AWS Fargate
Docker

Monitoring

AWS CloudWatch
Prometheus
Grafana

Logging

AWS CloudTrail
ELK Stack

Encryption

AWS KMS

Secrets

AWS Secrets Manager

Security

AWS WAF
AWS Shield
AWS GuardDuty

Governance

AWS Organizations
AWS Control Tower

Cost management

AWS Cost Explorer
AWS Budgets

Backup

AWS Backup

AI/ML

AWS SageMaker
AWS Bedrock
AWS Rekognition
AWS Comprehend
AWS Forecast
AWS Textract
AWS Personalize

Code quality

SonarQube

Security scanner

Trivy

Kubernetes package manager

Helm

GitOps

ArgoCD

MLOps

MLflow

Version control

Git

Code hosting

GitHub

Programming language

Python

AI assistant

ChatGPT
Gemini
Copilot

AI API

OpenAI API
Gemini API

Linux

Bash

AWS Management Console

AWS CLI

AWS IAM

AWS VPC

AWS EC2

AWS S3

AWS EBS

AWS RDS

AWS DynamoDB

AWS ElastiCache

AWS API Gateway

AWS SQS

AWS SNS

AWS Kinesis

AWS Step Functions

AWS EventBridge

AWS CloudFormation

AWS CodePipeline

Certification

Get certified in Cloud Computing Hands-On Project Course

Issued 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

Enrol for the next batch Download brochure

Future scope

Where this takes you over the next five years

The skill does not stand still, and neither does what it is worth.

Multi-cloud and hybrid cloudBusinesses are adopting multi-cloud strategies, making cross-platform skills increasingly valuable.
Serverless-first architectureLambda, API Gateway and DynamoDB are becoming the default for new applications.
AI/ML on AWSSageMaker, Bedrock and AI services are moving from niche to standard expectations.
FinOps and cost optimizationCloud cost management is now a dedicated role, not an afterthought.
Infrastructure as CodeTerraform and CloudFormation are now standard requirements in cloud job descriptions.

What you walk away with

The objective is practical knowledge rather than memorised concepts.

Due diligence

How techcadd compares

What actually differs between this course at techcadd and a typical alternative.

techcadd Amritsar compared with a typical training institute in the region
What you should ask	techcadd Amritsar	Other institutes
Live cloud project work	Every course, from week one	Varies, often only at the end
Small batches (10–12)	Capped for mentor attention	Often 30+ students per batch
Tools used in job descriptions	Linux, AWS, Docker, Kubernetes, Terraform, Jenkins	Outdated or academic substitutes
Mentor-reviewed deliverables	Weekly review by working professionals	Often no review or feedback
AI-assisted learning	Built into the curriculum	Rarely included

Every comparison here is about substance, not marketing language.

Before you enrol

Questions we get asked at the admissions desk

If something here is not covered, the Amritsar desk will answer it directly — no call-back queue.

Call +91 99152 22509 Send an enquiry

No. The programme opens at beginner 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.

Get started today

Not sure if Cloud Computing Hands-On Project Course is the right fit?

One call with a counsellor is usually enough to find out. Book a free demo class and see the Amritsar lab before you decide.

+91 99152 22509 Book a free demo

Next batch, Amritsar campus

Start the Cloud Computing Hands-On Project Course programme this intake.

Send your question and a counsellor will call you back about batch timings, fees, EMI options, placement record, or whether this course fits your background.

Free career counselling
No registration fee
Placement support included

Request a call back

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Placement support included

Cloud Computing Hands-On Project Course in Amritsar with Live Labs & Placement Support

Course overview

The curriculum, module by module

Linux Administration & Bash Automation

Topics covered

Tools in this module

AWS Fundamentals, IAM & VPC

Topics covered

Tools in this module

EC2, Storage, Databases & Scaling

Topics covered

Tools in this module

AWS Networking, Security & Architecture

Topics covered

Tools in this module

Git & GitHub

Topics covered

Tools in this module

Advanced AWS & Cloud Operations

Topics covered

Tools in this module

AI Foundations & Generative AI on Cloud

Topics covered

Tools in this module

Docker & Containerization

Topics covered

Tools in this module

Jenkins CI/CD & Secure Delivery

Topics covered

Tools in this module

Terraform & Infrastructure as Code

Topics covered

Tools in this module

Cloud Architecture & Resilience Mastery

Topics covered

Tools in this module

AWS Security Engineering & Recovery

Topics covered

Tools in this module

Cloud AI Services Engineering

Topics covered

Tools in this module

Production Containers & Kubernetes Operations

Topics covered

Tools in this module

Infrastructure Automation & Delivery Engineering

Topics covered

Tools in this module

Projects that answer the interview question for you

Linux & Bash Automation Lab

AWS Account & IAM Setup

VPC Architecture Build

EC2 Auto Scaling & Load Balancing

S3 Bucket with Lifecycle Policies

RDS Database with Backups

CloudWatch Dashboard & Alarms

Serverless Application

Infrastructure as Code Template

CI/CD Pipeline

Learn it. Build it. Make it yours.

Industry-focused curriculum

Live labs, not slides

Mentor-reviewed deliverables

Reporting and certification

Your months should build more than a certificate.

Why students choose techcadd

Mentors who still ship client work

Live labs, not slides

Tools used in job descriptions

Nested ladder structure

AI-assisted learning

Who can join the Cloud Computing Hands-On Project Course course

The roles this portfolio opens

The working stack for Cloud Computing Hands-On Project Course

Get certified in Cloud Computing Hands-On Project Course

Where this takes you over the next five years

How techcadd compares

Questions we get asked at the admissions desk

Do I need prior experience to join the Cloud Computing Hands-On Project Course course?

How long is the course and how are batches scheduled?