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Cloud Computing · Course Modules

Cloud Computing Course Modules Explained Week by Week

A cloud computing course can feel like a long list of services. This guide breaks a typical course into weekly modules, explaining what each week covers, what you practise and why it matters. Exact order and length vary by provider; confirm the official syllabus before joining.

Tracks
Course Phases · Live Interactive
Phase
—
Weeks
Topics
—
What is covered
You build
—
What you make
Foundations → Core services → Operations → Capstone
Click a phase to see what a typical cloud computing course covers in those weeks.

Home / Tutorials / Career Guides / Cloud Computing Course Modules Explained Week by Week

Cloud Computing · Course Modules

Cloud Computing Course Modules Explained Week by Week

WEEKS 1-3 WEEKS 4-7 WEEKS 8-10 WEEKS 11-12 Foundations Basics, IAM Networking Start Core Services Compute, storage Databases Build Operations Monitoring Terraform Run Capstone Full project Review Show
A typical cloud course moves from foundations to core services, operations and a capstone.

Quick summary — cloud course modules week by week

A typical cloud computing course runs from foundations (cloud basics, accounts, IAM and networking) through core services (compute, scaling, storage and databases) to operations (monitoring, security, cost and Terraform) and ends with a capstone project. Each week should pair concepts with labs; confirm the official order and duration with the provider.

In this guide you will learn:

  1. What each week — typically covers.
  2. The labs — you should expect.
  3. Example code — from key modules.
  4. A weekly study tracker — and capstone plan.
  5. Interview questions — mapped to modules.

SECTION 01Weeks 1-3: foundations, IAM and networking

The first weeks build the base everything else depends on. You learn what cloud computing is, set up an account safely with MFA and budget alerts, and learn identity and access management so you never use the root account for daily work. Networking follows: virtual networks, subnets, routing and security groups. This breakdown is typical; the official module list may differ:

Week Topics Lab Why it matters
Week 1 Cloud concepts, regions, service models, account safety Account with MFA and budget alert Safe start
Week 2 IAM users, groups, roles, policies Least-privilege role Security foundation
Week 3 VPC, subnets, route tables, gateways, security groups Public and private subnets Network design
Review Foundation recap and quiz Diagram your VPC Check understanding
#!/usr/bin/env bash
# Create a role EC2 can assume, with read-only S3 access
set -euo pipefail
cat > trust.json <<'JSON'
{"Version": "2012-10-17",
 "Statement": [{"Effect": "Allow",
   "Principal": {"Service": "ec2.amazonaws.com"},
   "Action": "sts:AssumeRole"}]}
JSON
aws iam create-role --role-name course-ec2-s3-read \
  --assume-role-policy-document file://trust.json
aws iam attach-role-policy --role-name course-ec2-s3-read \
  --policy-arn arn:aws:iam::aws:policy/AmazonS3ReadOnlyAccess
weeks-1-3
Key insight: Spend extra time on IAM and networking. Most later problems, such as 'cannot connect' or 'access denied', trace back to these weeks.

SECTION 02Weeks 4-7: compute, scaling, storage and databases

With foundations in place, the middle weeks cover the services that run applications. You launch virtual servers, put them behind a load balancer, add auto scaling, store files in object storage with lifecycle rules, attach block storage and set up a managed relational database in private subnets. Each week ends with a lab that adds a piece to a growing application:

Week Topics Lab Why it matters
Week 4 EC2 instances, AMIs, key pairs, user data Web server via user data Running workloads
Week 5 Load balancers, auto scaling, health checks Scaling web tier across two zones High availability
Week 6 S3, storage classes, lifecycle, EBS Private bucket with lifecycle rules Storing data safely
Week 7 RDS, Multi-AZ, backups; DynamoDB intro Private database for the app Managed data
#!/bin/bash
# EC2 user data: runs on first boot (Amazon Linux 2023)
dnf install -y nginx
cat > /usr/share/nginx/html/index.html <<'HTML'
<h1>Cloud course web server</h1>
<p>Served from an EC2 instance.</p>
HTML
systemctl enable --now nginx
weeks-4-7
Key insight: Build each week's lab on top of the last. By Week 7 you should have a small but complete web application architecture.

SECTION 03Weeks 8-12: monitoring, security, Terraform and capstone

The final weeks focus on running systems well. Monitoring with metrics, logs and alarms shows when something goes wrong. Security and cost weeks cover encryption, secrets, auditing and budgets. Terraform then recreates your architecture as code, so it is repeatable. The course typically ends with a capstone project that brings everything together, followed by review and interview preparation:

Week Topics Lab Why it matters
Week 8 CloudWatch metrics, logs, alarms, dashboards Alarm on high CPU and errors Visibility
Week 9 Encryption, KMS, secrets, CloudTrail, cost tools Encrypted storage; audit trail; budget Security and cost
Weeks 10-11 Terraform: providers, resources, modules, state VPC and app tier in code Repeatable infrastructure
Week 12 Capstone and interview preparation Complete project with diagram Portfolio proof
#!/usr/bin/env bash
# Alarm when average CPU stays above 70% for 10 minutes
set -euo pipefail
INSTANCE_ID=${1:?usage: $0 <instance-id>}
aws cloudwatch put-metric-alarm \
  --alarm-name "course-high-cpu-$INSTANCE_ID" \
  --namespace AWS/EC2 --metric-name CPUUtilization \
  --dimensions Name=InstanceId,Value="$INSTANCE_ID" \
  --statistic Average --period 300 --evaluation-periods 2 \
  --threshold 70 --comparison-operator GreaterThanThreshold
weeks-8-12
Key insight: Recreating your earlier manual work in Terraform is a powerful revision exercise. You see every resource and setting clearly.

SECTION 04Weekly study tracker and capstone plan

Use these templates to follow a cloud course week by week:

Week  Topic                        Lab done  Notes written  Cleaned up
1     Cloud basics, account safety   [ ]       [ ]            [ ]
2     IAM                            [ ]       [ ]            [ ]
3     Networking                     [ ]       [ ]            [ ]
4     Compute                        [ ]       [ ]            [ ]
5     Load balancing, scaling        [ ]       [ ]            [ ]
6     Storage                        [ ]       [ ]            [ ]
7     Databases                      [ ]       [ ]            [ ]
8     Monitoring                     [ ]       [ ]            [ ]
9     Security and cost              [ ]       [ ]            [ ]
10-11 Terraform                      [ ]       [ ]            [ ]
12    Capstone                       [ ]       [ ]            [ ]
cloud-weekly-tracker.md

SECTION 05Tips for following a cloud course week by week

These habits help you keep pace and retain what you learn:

  • Repeat every lab alone — doing it without notes builds real skill.
  • Clean up after each lab — check billing weekly.
  • Draw diagrams — one per week clarifies architecture.
  • Do not rush IAM and networking — later weeks depend on them.
  • Start the capstone early — plan it from Week 6.
Pro tip: Keep a single Git repository for all weekly labs. By the end, it shows your full learning journey to recruiters.

SECTION 06Interview Q&A — cloud course topics

Q1Why should you not use the root account daily?

It has unlimited access; use IAM users or roles with least privilege and protect the root account with MFA.

Q2What is the difference between a public and a private subnet?

A public subnet routes to an internet gateway; a private subnet does not, and reaches the internet only through a NAT gateway if needed.

Q3How does auto scaling improve availability?

It replaces unhealthy instances and adjusts capacity to demand, keeping the application running across zones.

Q4What is an S3 lifecycle rule?

A rule that moves objects to cheaper storage classes or deletes them after a set time, reducing cost.

Q5Why manage infrastructure with Terraform?

It makes infrastructure repeatable, reviewable and version-controlled, reducing manual errors.

SECTION 07Test yourself — cloud course topics quiz

Five questions. No sign-up.

0 / 5

Pick an answer to see why it is right or wrong.

SECTION 08Frequently asked questions

How long is a typical cloud computing course?

Many run for a few months, but length varies by provider and depth. Ask for the current schedule and weekly hours.

What is taught first in a cloud course?

Usually cloud concepts, account safety, IAM and networking, because every later module depends on them.

Does a cloud course include Terraform?

Many do, often in later weeks. Check the official syllabus to confirm infrastructure as code is included.

How many hours per week should I study?

Plan for your class hours plus at least as much self-practice, so you can repeat labs and write notes.

What is the capstone in a cloud course?

A final project that combines networking, compute, storage, databases, monitoring and Terraform into one documented architecture.

Classroom & online · Noida

Follow a structured AWS cloud course

Our AWS Training Course moves from cloud foundations to IAM, networking, compute, storage, monitoring and Terraform, ending with a capstone project.

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  • Weekly hands-on labs
  • Terraform module
  • Capstone project
  • Weekday & weekend batches