Uncodemy · Cloud Engineering Program
How Uncodemy Trains Students for Cloud Engineer Roles
Quick summary — how Uncodemy trains cloud engineers
Uncodemy's cloud engineer track is built around one outcome: getting students into real cloud engineering roles. That means hands-on labs, real projects, certification prep, and placement support — not just lectures. This guide walks through the entire training process.
In this guide you will learn:
- The curriculum — what students actually study.
- Hands-on labs — how real learning happens.
- Projects — what students build for their portfolio.
- Certifications — which ones Uncodemy prepares for.
- Placement support — resume, mock interviews, hiring partners.
SECTION 01The curriculum
The cloud engineer track covers the fundamentals, one cloud platform in depth, and the tooling real teams use every day:
| Module | What Students Learn | Real-World Use |
|---|---|---|
| Linux & Networking | CLI, permissions, TCP/IP, DNS | Foundation for all cloud work |
| Cloud Basics | IaaS/PaaS/SaaS, regions, IAM | Understand how cloud works |
| AWS or Azure | Core services, VPC/VNet, security | Primary platform skills |
| Containers & DevOps | Docker, CI/CD, IaC basics | Ship and automate deploys |
| Monitoring & Security | Logs, metrics, basic security | Operate reliably + safely |
Cloud Engineer — curriculum overview:
Phase 1: Fundamentals
- Linux basics
- Networking essentials
- Security fundamentals
- Git & GitHub
Phase 2: Cloud Core
- One cloud (AWS or Azure)
- Compute, storage, networking
- IAM and security groups
- Databases + managed services
Phase 3: DevOps & Automation
- Docker + containers
- CI/CD (GitHub Actions)
- Infrastructure as Code (Terraform)
- Monitoring + logging
Phase 4: Certifications + Projects
- AWS SAA or Azure AZ-104 prep
- Capstone project
- Resume + mock interviews
What's covered in detail:
Compute:
- VMs vs containers vs serverless
- Autoscaling + load balancers
Storage:
- Object vs block vs file
- Lifecycle + backup strategies
Networking:
- VPC / VNet
- Subnets, route tables, security groups
- DNS + certificates
Security:
- IAM (users, roles, policies)
- Encryption at rest + in transit
- Secret management
Operations:
- Logging + monitoring
- Cost basics
- High availability patterns
SECTION 02Hands-on labs
Reading about cloud doesn't make you a cloud engineer. Every module has lab exercises that mirror real-world tasks:
| Lab | What Students Do | Skills Gained |
|---|---|---|
| Deploy a VM | Launch, connect, secure a cloud VM | Compute + networking |
| Build a VPC | Design subnets, routes, security groups | Network design |
| IAM setup | Create users, roles, and least-privilege policies | Security basics |
| Docker + deploy | Containerise an app, push to registry, deploy | Modern DevOps |
| CI/CD pipeline | Automated deploy from GitHub | Real team workflows |
Sample lab: Deploy a secure web app
1. Launch an EC2 VM (or Azure VM)
2. Configure security groups (only 80/443)
3. Install Docker on the VM
4. Pull app image from registry
5. Run container
6. Set up Nginx as reverse proxy
7. Add HTTPS via Let's Encrypt
8. Push a small code change
9. Watch CI/CD redeploy automatically
10. Verify logs + monitoring
That's a real cloud engineering task.
Students actually do this, not just read about it.
Lab environment:
Cloud accounts:
- AWS Free Tier / Azure student credits
- Guidance on cost control
- Budget alerts enabled
Tools:
- Docker Desktop
- VS Code
- Git + GitHub
- Terraform CLI
- AWS / Azure CLI
What students get:
- Step-by-step lab guides
- Expected outputs + checks
- Troubleshooting section
- Access to trainer for doubts
- Recording if they miss a session
SECTION 03Projects & portfolio
Recruiters don't hire certificates — they hire evidence. Every student builds at least two real projects:
Project 1 — Static Site + CDN
What students build:
- Static website on S3 (or Azure Blob)
- CloudFront / Azure CDN in front
- Custom domain + HTTPS
- CI/CD deploy on git push
- Basic monitoring + alerts
Skills demonstrated:
- Storage + CDN
- Certificates + DNS
- CI/CD pipelines
- Cost awareness (static hosting is cheap)
Project 2 — Full Stack on Cloud
What students build:
- Containerised app (Docker)
- Database (RDS / Azure SQL)
- Deployed on EC2 / Azure VM or
ECS / App Service
- Load balancer + health checks
- CI/CD pipeline + monitoring
Skills demonstrated:
- Compute + networking
- Databases + migrations
- Container orchestration
- Observability
- Production thinking
Portfolio checklist (per project):
□ Public GitHub repo
□ Clear README (architecture + setup)
□ Architecture diagram
□ Screenshots / GIF of live app
□ CI/CD configuration included
□ Deployed link (if public)
□ Short write-up of decisions
□ What you'd improve next
Two strong projects beat five weak ones.
Every time.
SECTION 04Certification prep
Certifications help clear HR filters and prove baseline competence. Uncodemy prepares students for the most recognised cloud certifications:
Uncodemy prepares students for:
AWS:
□ AWS Solutions Architect – Associate (SAA-C03)
□ AWS Cloud Practitioner (foundational)
Azure:
□ Azure Administrator (AZ-104)
□ Azure Fundamentals (AZ-900)
Exam prep includes:
- Structured syllabus walkthrough
- Weekly practice exams
- Weak-area reviews
- Lab-based reinforcement
- Exam-day strategy
Note: certifications don't replace
projects — they complement them.
Exam prep tracker (per student):
Target cert: _________
Target date: _________
Practice exams taken: _____
Average score: _____
Topics confident:
1.
2.
Topics to revise:
1.
2.
Weekly lab hours: _____
Weekly theory hours: _____
Plan for next week:
-
-
-
SECTION 05Placement support
The last mile is placement — where many training programs fall short. Here's how Uncodemy supports the transition to a real role:
- Resume rebuild — tailored for cloud engineering roles, with project highlights and quantified impact.
- LinkedIn optimisation — clear positioning, keywords, and project showcase.
- Mock interviews — technical (cloud + DSA basics) and behavioural, with written feedback.
- Hiring partner referrals — 14+ hiring partners across NCR.
- Portfolio review — GitHub + projects + READMEs reviewed before interviews.
SECTION 06Interview Q&A — cloud engineer training
Q1Who is this program for?
Graduates, career switchers, and working professionals looking to move into cloud engineering — especially those with basic technical background (or strong willingness to learn).
Q2How much time should I commit?
Realistically, 3–4 hours per day (including labs) for 4–6 months. The schedule is flexible via weekday/weekend batches.
Q3Do I need coding experience?
Basic scripting helps a lot. Cloud engineering isn't pure software development, but Python or Bash knowledge significantly improves outcomes.
Q4Is placement guaranteed?
No — no ethical institute can guarantee placement. What's guaranteed is placement support: resume help, mock interviews, referrals, and ongoing guidance.
Q5What salary can I expect after the program?
Entry-level cloud roles in India typically pay ₹4–8 LPA, depending on certification, projects, and company size. Progression after 2–3 years is often faster than in non-cloud roles.
SECTION 07Test yourself — cloud engineer training quiz
Five questions. No sign-up.
0 / 5Pick an answer to see why it is right or wrong.
SECTION 08Frequently asked questions
What's the duration of the cloud engineer program?
Typically 4–6 months, depending on batch and pace. Weekday and weekend batches are both available.
Which cloud platform should I choose — AWS or Azure?
Both are strong. AWS has the largest market share; Azure is strong in enterprises. Uncodemy teaches the fundamentals that transfer across platforms, plus deep coverage of one cloud.
Are the labs done on real cloud accounts?
Yes — students work on real AWS or Azure accounts (free-tier or student credits), with guidance on cost control and budgets.
Do you help with resume and LinkedIn?
Yes — resume rebuilding, LinkedIn optimisation, mock interviews, and project portfolio review are part of placement support.
What if I have zero IT background?
It's possible but requires more time on the fundamentals. The curriculum starts with Linux, networking, and security — designed so beginners can build up.
SECTION 09Related reads
Classroom & online · Noida
Start your cloud engineering journey
Our Data Analytics Training Course is designed to help you recover and rebuild — with skills, projects, and interview prep that get you hired.
₹15,500 · full programme- AWS / Azure fundamentals
- Hands-on labs on real cloud
- Certification prep
- Weekday & weekend batches