Deploy
Use the major clouds.
Launch and secure compute, storage and networking on AWS, Azure and GCP.
University Programmes · University · 4–6 semesters
Cloud & DevOps. Build, ship and run software in the cloud.
Rooman's Cloud & DevOps track is part of the Credit-Based Integrated AI Course, which universities embed in B.E., B.Tech., B.Sc. and BCA degrees with formal credits. Over 4–6 semesters it covers AWS, Azure and GCP fundamentals, containers, CI/CD, infrastructure as code and MLOps basics, taught by Rooman trainers alongside your college faculty.
180 hours7 modulesCredit-basedCapstone project
What you'll be able to do
Run software the way teams do now.
Most software now runs in the cloud and ships through automated pipelines. This track teaches both, inside your degree and with credits as set by your university.
Automate
Ship through pipelines.
Containerise an application and deploy it with a CI/CD pipeline.
Operate
Manage it as code.
Define infrastructure as code and run a machine learning model in production.
Skills covered
- Linux and shell scripting
- Cloud fundamentals on AWS, Azure and GCP
- Networking and identity in the cloud
- Git and version control
- Docker containers
- Kubernetes basics
- CI/CD pipelines
- Infrastructure as code and MLOps basics
Who it's for
Built for your first cloud role.
The track is for undergraduates at colleges that partner with Rooman who want to build and run systems. You enrol through your college, not directly with Rooman: the course runs where your university has a partnership with Rooman.
Roles where these skills are used
- Cloud Engineer (associate)
- DevOps Engineer (entry level)
- Site Reliability Engineer (graduate)
- Cloud Support Engineer
- Build and Release Engineer
Entry requirements.
- Enrolled in a B.E., B.Tech., B.Sc. or BCA programme at a partner college
- Chosen as an elective or integrated track, as your university's scheme allows
- Basic programming from your first year; no cloud experience needed
Not sure which course fits? Take the 10-minute career assessment, or talk to a counsellor.
180 hours · 7 modules
A curriculum paced by semester.
Seven modules, from Linux to MLOps, with a project semester at the end.
01Linux and networking24 hrs
The operating system and networks that cloud systems run on.
Topics covered
- Linux commands and file systems
- Users, permissions and processes
- TCP/IP, DNS and HTTP
You produce: a configured Linux server.
02Cloud fundamentals24 hrs
Core compute, storage and networking services on AWS, Azure and GCP.
Topics covered
- Compute, storage and networking services
- Identity and access management
- Comparing AWS, Azure and GCP
- Cost awareness
You produce: a small application running in the cloud.
03Version control and scripting26 hrs
Working with code as a team and automating routine tasks.
Topics covered
- Git and branching
- Shell scripting
- Python for automation
You produce: a shared repository with automation scripts.
04Containers and orchestration26 hrs
Packaging applications and running them at scale.
Topics covered
- Docker images and containers
- Docker Compose
- Kubernetes pods, deployments and services
You produce: a containerised application on Kubernetes.
05CI/CD26 hrs
Building, testing and deploying code automatically.
Topics covered
- Build and test automation
- GitHub Actions or Jenkins
- Deployment strategies
- Monitoring and logging basics
You produce: a working CI/CD pipeline.
06Infrastructure as code and MLOps basics24 hrs
Defining environments in code and deploying ML models.
Topics covered
- Terraform basics
- Configuration management
- Packaging and serving an ML model
- Model monitoring
You produce: cloud infrastructure defined in code.
07Capstone project semester30 hrs
A team project that deploys and runs a real application.
Topics covered
- Architecture with a faculty guide
- Build and pipeline setup
- Deployment and monitoring
- Final report and viva
You produce: a deployed application with its pipeline and report.
Tools covered
The tools you'll work with.
You work on the public clouds and open-source tools that DevOps teams use.
| Tool group | Tools | What you use them for |
|---|---|---|
| Cloud | AWS, Microsoft Azure, Google Cloud | Run compute, storage and networking |
| Containers | Docker, Kubernetes | Package and orchestrate applications |
| Pipelines | Git, GitHub Actions or Jenkins | Build, test and deploy automatically |
| Infrastructure as code | Terraform | Define environments in code |
Capstone
Deploy an application. Then keep it running.
In the final semester your team builds, deploys and monitors an application through its own pipeline, guided by Rooman trainers and your faculty.
Every module ends with a hands-on lab in your college.
What you finish with.
- A configured Linux server
- A containerised application
- A CI/CD pipeline
- Infrastructure defined in code
- A deployed capstone application
Your credential
Credits toward your degree.
Credits toward your degree. The track counts toward your degree, with credits as set by your university.
Assessment follows your university's scheme, with Rooman trainers and your faculty assessing the work together.
What's included
Everything you need to finish.
- Taught by Rooman trainers alongside your faculty
- Scheduled to fit your academic calendar
- Labs every semester and a capstone project
- Credits counted toward your degree, as your university sets them
- A curriculum aligned with your university's academic council
- Placement and hackathon support through your college
Before you enrol
Questions future cloud engineers ask.
Can't find your answer? Call 080 6945 1000 or WhatsApp us.
Does it count toward my degree?
Yes. It is a credit-based track, with credits as set by your university.
Is my college a partner?
Ask your department or placement office, or a Rooman counsellor. You enrol through your college, not directly with Rooman: the course runs where your university has a partnership with Rooman.
Can my university partner with Rooman?
Yes. Universities embed the course in their degrees, and a custom track can be co-created with the academic council.
Who teaches it?
Rooman trainers, alongside your college faculty.
How long does it take?
4–6 semesters, scheduled to fit your academic calendar.
Which clouds does it cover?
The fundamentals of AWS, Microsoft Azure and Google Cloud.
Do I need cloud experience?
No. The track starts with Linux and networking.
How do I find out fees and batch dates?
Talk to a Rooman counsellor on 080 6945 1000 or WhatsApp +91 97390 86029. They will share current fees, payment options and upcoming batch dates.
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180 hrsCredit-basedAI & Machine LearningMachine learning, inside your degree.For universitiesBringing this to your university?Embed this track in your degree programmes with formal credits, taught with your faculty.Talk to usNext step
Start with a conversation.
Tell us your college, course and year, or your university, and a counsellor will explain how the tracks work.
- Call: 080 6945 1000
- WhatsApp: +91 97390 86029
- Email: hello@rooman.com
Course details reviewed on 25 September 2026.