Cloud Computing

Virtualisation, AWS, Azure and GCP core services, serverless and cloud security.

Course Information

Level	Beginner to Intermediate
Duration	12 weeks
Credits	3
Pre-requisite	Basic networking and Linux. Can be taken along with the DevOps track.
Material	Open source — every module links to its original tutorial

About This Track

Cloud computing is renting computers, storage and networks instead of buying them. This track covers the service models first, then takes AWS as the main platform and shows the same ideas again in Azure and GCP so you are not locked to one vendor.

Concept notes follow the GeeksforGeeks cloud computing series and the NPTEL cloud computing lectures. All labs run inside the free tiers the cloud providers already publish — AWS Free Tier, Microsoft Learn sandboxes and Google Cloud Skills Boost.

What You Will Learn

Explain IaaS, PaaS and SaaS with real examples, and the public/private/hybrid models
Understand virtualisation, hypervisors and how containers differ from virtual machines
Launch and secure an EC2 instance, store files in S3 and design a VPC
Write IAM policies that follow the least privilege rule
Build a serverless API with Lambda and API Gateway
Estimate cloud cost and apply the shared responsibility security model

Syllabus

Module wise plan. Every row links to the open tutorial we follow for that module.
#	Module	Topics Covered	Weeks	Study Material
1	Cloud Fundamentals	IaaS/PaaS/SaaS, deployment models, elasticity, availability zones, SLA	2	GfG Cloud Computing
2	Virtualisation	Hypervisors type 1 and 2, VM vs container, hardware abstraction	1	GfG Virtualisation
3	AWS Core Services	EC2, S3, EBS, VPC, subnets, security groups, IAM, RDS, CloudWatch	4	AWS Free Tier
4	Azure & GCP Basics	Resource groups, Azure VMs, Blob storage, GCP Compute Engine, BigQuery	2	Microsoft Learn
5	Serverless & Storage	Lambda, API Gateway, DynamoDB, S3 static hosting, CDN with CloudFront	2	Google Cloud Skills Boost
6	Cloud Security & Cost	Shared responsibility, encryption, key management, billing alarms, tagging	1	AWS Skill Builder

Code From The Lab

Sample from Module 5 — a serverless function that returns JSON

# AWS Lambda handler (Python runtime)
import json

def lambda_handler(event, context):
    name = event.get("queryStringParameters", {}).get("name", "student")

    return {
        "statusCode": 200,
        "headers": {"Content-Type": "application/json"},
        "body": json.dumps({
            "message": "Hello " + name + ", this ran without any server!"
        })
    }

# No EC2 instance, no OS patching - you pay only per request.

Video Lectures

Click the thumbnail to open the video playlist for this track:

Recorded College Session

Video Playlists

freeCodeCamp.org — AWS Cloud Practitioner and Solutions Architect full courses
Amazon Web Services — Official AWS channel with service deep dives
Cloud lecture search — NPTEL and college lectures on cloud computing

Open Source Study Material

These are the exact open sources the notes for this track are prepared from.

Source	Best Used For	Link
GeeksforGeeks	Cloud computing tutorial plus AWS and Azure interview questions	Open
AWS Free Tier	Twelve months of free-tier services to run every lab in this track	Open
Microsoft Learn	Azure learning paths with in-browser sandboxes	Open
Google Cloud Skills Boost	Guided GCP labs on the open skills platform	Open
NPTEL	Recorded Indian university lectures on cloud computing	Open
Stack Overflow	The amazon-web-services tag for configuration and IAM problems	Open

Lab Projects

Host your portfolio on S3 with CloudFront in front of it
Two-tier web app on EC2 with an RDS database in a private subnet
Serverless contact form using Lambda, API Gateway and DynamoDB
Cost report comparing the same workload on AWS, Azure and GCP

Your Progress

Modules finished in this track:

0 of 6

Self rated confidence: 0 of 6