Uncodemy Cloud Computing Course Syllabus Explained

Cloud Computing · Course · Syllabus

Uncodemy Cloud Computing Course Syllabus Explained

AK Ankit Kaushik · Lead Trainer, Data Engineering & AI | Updated 12 November 2026 | 15 min read Free · Course Guide

Three phases, sixteen weeks, roughly 72 hours of live instruction — plus labs and projects between sessions.

Quick summary — what's in the course

Uncodemy's cloud computing course runs 16 weeks across three phases — foundation, AWS core, and DevOps — ending with two capstone projects. You leave with AWS Solutions Architect Associate certification prep, real deployed projects, and placement support into NCR cloud roles.

In this guide you will learn:

The full module structure — what's covered when.
Which tools and services you learn.
Certifications included and how to prepare.
Real projects you'll build.
Interview Q&A + quiz to test your understanding.

SECTION 01Who the course is for

The course is designed for three main groups:

Freshers (B.Tech / BCA / B.Sc / MCA) looking to break into cloud roles.
IT support / helpdesk professionals looking to move into cloud engineering.
Working developers who want to add cloud + DevOps skills.

Prerequisites: comfort with a computer, basic command-line familiarity, and willingness to spend 6–8 hours per week. No prior cloud experience needed — Phase 1 builds the foundation.

Key insight: Non-IT graduates can also take the course — many do. It's slower at the start, but the foundation phase is designed exactly for that.

SECTION 02Phase 1 — Foundation (Weeks 1–4)

Four weeks building the base skills every cloud engineer needs:

Week	Topics	Deliverable
1	Linux basics, command line, file system, users, permissions	Linux cheat-sheet notebook
2	Networking basics — TCP/IP, DNS, HTTP, load balancing	Diagram of a typical web request
3	Git + GitHub — commits, branches, pull requests	GitHub repo with 10 commits
4	Python scripting basics — files, APIs, boto3 intro	Script that calls a public API

Key insight: This phase is the difference between "the course was too fast" and "I followed every step". If you already know Linux, Git, and Python, you can move through it faster and get to AWS sooner.

SECTION 03Phase 2 — AWS Core (Weeks 5–12)

Eight weeks on AWS — the largest phase of the course:

Weeks	Topics	Services covered
5–6	Compute — EC2, launch templates, autoscaling	EC2, EBS, AMI, ASG
7	Storage — S3, EFS, Glacier	S3, EFS, Glacier
8	Networking — VPC, subnets, security groups	VPC, IGW, NAT, ALB
9	Database — RDS, DynamoDB	RDS, Aurora, DynamoDB
10	Serverless — Lambda, API Gateway, SQS	Lambda, API-GW, SQS, SNS
11	IAM, CloudWatch, billing, cost optimisation	IAM, CloudWatch, Budgets
12	CloudFormation + AWS CLI + capstone build	CloudFormation, CLI

# Lab: launch an EC2 instance from the CLI
# (this is the kind of hands-on work you'll do in weeks 5–6)

# 1. Configure AWS CLI credentials
aws configure
# Enter: Access Key ID, Secret Key, region (ap-south-1), output (json)

# 2. Get the latest Amazon Linux 2023 AMI ID
AMI=$(aws ec2 describe-images \
  --owners amazon \
  --filters "Name=name,Values=al2023-ami-2023*-x86_64" \
  --query 'Images | sort_by(@, &CreationDate) | [-1].ImageId' \
  --output text)

# 3. Create a security group (SSH access only from your IP)
SG=$(aws ec2 create-security-group \
  --group-name my-linux-sg \
  --description "SSH-only" \
  --query 'GroupId' --output text)

aws ec2 authorize-security-group-ingress \
  --group-id $SG \
  --protocol tcp --port 22 --cidr 203.0.113.5/32

# 4. Launch instance
aws ec2 run-instances \
  --image-id $AMI \
  --instance-type t3.micro \
  --key-name my-keypair \
  --security-group-ids $SG \
  --tag-specifications 'ResourceType=instance,Tags=[{Key=Name,Value=my-lab}]'

# In the course you'll repeat this 20+ times — until it becomes muscle memory.

# Lab: define a basic VPC with CloudFormation
# (infrastructure-as-code module, week 12)

AWSTemplateFormatVersion: "2010-09-09"
Description: "A VPC with public + private subnets"

Resources:
  MyVPC:
    Type: AWS::EC2::VPC
    Properties:
      CidrBlock: 10.0.0.0/16
      EnableDnsHostnames: true
      EnableDnsSupport: true
      Tags:
        - Key: Name
          Value: my-vpc

  PublicSubnet1:
    Type: AWS::EC2::Subnet
    Properties:
      VpcId: !Ref MyVPC
      CidrBlock: 10.0.1.0/24
      AvailabilityZone: !Select [0, !GetAZs '']
      MapPublicIpOnLaunch: true

  PrivateSubnet1:
    Type: AWS::EC2::Subnet
    Properties:
      VpcId: !Ref MyVPC
      CidrBlock: 10.0.2.0/24
      AvailabilityZone: !Select [0, !GetAZs '']

  InternetGateway:
    Type: AWS::EC2::InternetGateway

  VPCGatewayAttachment:
    Type: AWS::EC2::VPCGatewayAttachment
    Properties:
      VpcId: !Ref MyVPC
      InternetGatewayId: !Ref InternetGateway

# Deploy with: aws cloudformation deploy \
#   --template-file vpc.yaml --stack-name my-vpc

# By the end of the course you'll write this from scratch — and understand
# every line, which is what interviewers actually test.

cloud-course-labs.md

Key insight: The AWS phase is hands-on, not theoretical. You will launch real services in a real AWS account — with a budget alert set. By week 8 you'll be comfortable with EC2, S3, IAM, and VPC, which is enough for the Solutions Architect Associate exam.

SECTION 04Phase 3 — DevOps + Projects (Weeks 13–16)

The final four weeks put cloud into practice with DevOps workflows:

Week	Topics	Hands-on
13	Docker basics, Dockerfiles, image push	Containerise a Node.js app
14	Kubernetes — pods, deployments, services	Deploy to EKS or k3s
15	CI/CD with GitHub Actions + Terraform intro	Auto-deploy on git push
16	Two capstone projects + mock interview	Live demo + GitHub

Pro tip: The capstone projects are what will get you interviews. Make them look real — add README files, architecture diagrams, and a short Loom video walkthrough. Recruiters judge the demo before they judge the resume.

SECTION 05Certifications & placement

The course includes preparation for these certifications:

Certification	Included?	Value in market
AWS Solutions Architect Associate	Prep + exam voucher	Very high — most-asked cloud cert in NCR
AWS Cloud Practitioner	Prep only	Entry-level — good if SAA seems hard
HashiCorp Terraform Associate	Prep only	Increasingly expected for DevOps roles
CKA (Kubernetes Administrator)	Optional add-on	High value for senior roles

Placement support covers:

Resume rebuild — every candidate goes through a 1:1 session.
Mock interviews — at least 3, with real cloud engineers.
Portfolio review — architecture and README feedback.
Hiring partner intros — 14+ companies in NCR for cloud roles.
Batch repeat access — you can retake any module you need to.

SECTION 06Interview Q&A — cloud course

Q1How much of the course is hands-on vs theory?

Roughly 70% hands-on, 30% theory. Every module ends with labs you actually run — not just watch. By the end, you'll have launched 30+ AWS services and deployed 2 real projects.

Q2Do I need prior IT experience?

No — but you should be comfortable with a computer. The foundation phase (Linux, Git, Python) is designed to bring non-IT graduates up to speed. If you're completely new to coding, expect to spend a bit more time on weeks 3–4.

Q3What's the difference between this course and AWS's own learning path?

AWS's own training is cheaper and self-paced, but it's not structured for placement. This course adds structured mentorship, real projects, mock interviews, and hiring partner access — which is the difference between "I passed a cert" and "I got a job".

Q4Does the course cover Azure or GCP?

The core focus is AWS — that's where the NCR job market is concentrated. Azure basics are covered conceptually so you can map the skills, but if you specifically want an Azure role, check with the team about a focused add-on.

Q5What jobs does it prepare you for?

Cloud Engineer, Cloud Support Engineer, Junior DevOps Engineer, and AWS Administrator roles. It's also a strong add-on for developers and data engineers who want to move into cloud-first teams.

SECTION 07Test yourself — course syllabus 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 the course?

16 weeks — roughly 72 hours of live instruction plus labs and project work in between. Weekday and weekend batches are available so you can take it while working.

Will I actually deploy real infrastructure?

Yes — every student gets an AWS account for the duration of the course, with a small budget set. You will launch EC2, S3, VPC, Lambda, and more. That hands-on experience is what employers actually test for.

Is the AWS Solutions Architect exam included?

The exam voucher is included for the AWS SAA exam. Prep for other certifications is included, but their exam vouchers are not — you pay separately for those if you choose to take them.

What's the placement rate?

Uncodemy doesn't publish a "placement percentage" that's comparable across institutes — that number is easy to game. What matters: 14+ hiring partners, 1:1 placement support, and access to all mock interview recordings for learning. Ask the counsellor for the most recent placement list.

Can I take the course part-time while working?

Yes — weekend batches are designed for working professionals. Most students study 6–8 hours per week, including live sessions and labs. If you can commit more, you'll get more out of it.

What I would do in the first 30 daysLayoff · 14 min Why sending 500 resumes won't workJob Search · 14 min Rebuild your resume for the AI job marketResume · 15 min Which skills to learn before applyingSkills · 14 min 90-day career recovery roadmapRecovery · 16 min How AI can help you prepare for interviewsAI · 11 min

Classroom & online · Noida

Join the next cloud computing batch

Our Cloud Computing Programme covers AWS, DevOps, and two capstone projects — with certification prep and placement support. Weekday and weekend batches.

₹28,500 · full programme ~~₹42,000~~

Explore the course Download the full syllabus

16 weeks · 72 hours live
AWS SAA exam voucher included
2 real capstone projects
1:1 placement support

Uncodemy Cloud Computing Course Syllabus Explained