Cloud
Work on AWS and Azure.
Set up servers, storage, access and networking with the everyday AWS services, then map them to Azure.
Campus AI · For BSc CS, IT & BCA students
Cloud & DevOps Foundation. Linux, cloud, containers and CI/CD, hands-on.
Rooman's Cloud & DevOps Foundation is a 50-hour, 10-week online course for BSc Computer Science, IT and Electronics students and BCA students. You learn Linux, AWS and Azure essentials, Docker, Kubernetes, Terraform, CI/CD and monitoring, then deploy a web app end to end in a capstone and earn the Rooman Campus AI Certificate.
50 hours10 modulesWeekly live cohortCapstone project
What you'll be able to do
Learn how software is built, shipped and run.
This Foundation course is built for BSc CS, BCA and Electronics students who want to move into cloud engineering or DevOps without a B.Tech degree. It covers Linux, AWS and Azure essentials, containers, infrastructure as code and CI/CD, and ends with an app you deploy yourself.
Automate
Build it once, in code.
Package apps with Docker, run them on Kubernetes and provision infrastructure with Terraform.
Operate
Ship it and keep it running.
Build CI/CD pipelines in GitHub Actions, monitor with CloudWatch and Grafana, and learn on-call and postmortem basics.
Skills covered
- Cloud and DevOps career landscape
- Linux fundamentals
- Cloud basics: AWS
- Cloud basics: Azure
- Containerisation with Docker
- Kubernetes essentials
- Infrastructure as code with Terraform
- CI/CD pipelines
Who it's for
Built for future cloud and DevOps engineers.
The course is for BSc Computer Science, IT and Electronics students and BCA students who want to become cloud or DevOps engineers without a B.Tech degree. Recent graduates and self-taught coders with basic Linux and Python are welcome too.
Who takes this course
- BSc CS & IT
- BCA
- BSc Electronics
- Self-taught coders
- Future cloud and DevOps engineers
Entry requirements.
- A current science-stream student, or a recent graduate
- Basic Linux and Python skills
- Completion of AI for ALL
New to AI? Start with AI for ALL, Rooman's 20-hour, 9-module foundation course. Not sure which course fits? Take the 10-minute career assessment.
50 hours · 10 modules
A curriculum built around one app, deployed end to end.
The modules add one layer at a time, from the Linux command line to cloud, containers, infrastructure as code, pipelines and monitoring.
01Cloud and DevOps career landscape3 hrs
What cloud engineers, DevOps engineers, site reliability engineers (SREs) and platform engineers each do.
Topics covered
- Cloud engineer and DevOps engineer: what the work involves
- Site reliability engineering (SRE) and platform engineering
- How these teams build, ship and run software together
- Reading cloud and DevOps job posts: the skills they list
You produce: a map of cloud and DevOps roles and the skills each needs.
02Linux fundamentals6 hrs
Use the Linux command line the way ops teams do: files, processes, networking and Bash scripts.
Topics covered
- The Bash shell and the Linux file system
- Users, permissions and processes
- Networking commands for checking and fixing connections
- Writing Bash scripts to automate routine tasks
You produce: Bash scripts that automate routine server tasks.
03Cloud basics: AWS8 hrs
The everyday AWS services: EC2, S3, IAM, VPC, RDS and CloudWatch.
Topics covered
- EC2 virtual servers and S3 storage
- IAM users, roles and permissions
- VPC networking: subnets, routing and security groups
- RDS managed databases and CloudWatch monitoring
You produce: a web server on EC2 with storage, access and monitoring set up.
04Cloud basics: Azure4 hrs
The Azure equivalents of what you built on AWS, and when to pick Azure over AWS.
Topics covered
- Azure equivalents of the core AWS services
- Virtual machines, storage and networking on Azure
- When to pick Azure over AWS
You produce: a side-by-side map of the same setup on AWS and Azure.
05Containerisation with Docker6 hrs
Package an app and its dependencies into images and containers.
Topics covered
- Images and containers: how they differ
- Writing a Dockerfile for your own app
- Running multi-container apps with Docker Compose
- Pushing and pulling images from a registry
You produce: a containerised web app with a Dockerfile and a Compose file.
06Kubernetes essentials6 hrs
Deploy and manage containers with Kubernetes on a local Minikube cluster.
Topics covered
- Setting up a local Kubernetes cluster with Minikube
- Pods and deployments
- Services: exposing your app to users
- ConfigMaps and secrets for configuration
You produce: an app deployed to a local Kubernetes cluster.
07Infrastructure as code with Terraform5 hrs
Write infrastructure as code in Terraform and provision real resources on AWS and Azure.
Topics covered
- Why infrastructure as code, and how Terraform works
- HCL syntax, providers and resources
- Terraform state and reusable modules
- Provisioning real resources on AWS and Azure
You produce: Terraform code that provisions a cloud environment.
08CI/CD pipelines5 hrs
Automate build, test and deploy with GitHub Actions.
Topics covered
- What CI/CD is, and why teams use it
- Writing GitHub Actions workflows
- Build, test and deploy stages in one pipeline
- Managing environments such as staging and production
You produce: a GitHub Actions pipeline that builds, tests and deploys your app.
09Monitoring and incident response basics3 hrs
Watch systems with CloudWatch and Grafana, respond when things break and learn from each incident.
Topics covered
- Metrics, logs and alarms in CloudWatch
- Building monitoring dashboards in Grafana
- On-call basics, incident response and writing postmortems
- Using ChatGPT for ops to read errors and draft fixes, then checking them
You produce: a monitoring dashboard and a sample postmortem.
10Capstone4 hrs
Deploy a simple web app end to end: containerised, defined as code and shipped through a CI/CD pipeline.
Topics covered
- Containerising a simple web app
- Defining its infrastructure as code
- A CI/CD pipeline that builds, tests and deploys it
- Documenting the architecture
You produce: your deployed capstone app and its architecture document.
Tools covered
The tools you'll work with.
Every tool is used hands-on in cohort labs, including real provisioning on AWS and Azure.
| Tool group | Tools | What you use them for |
|---|---|---|
| Operating system | Linux | Work on servers from the command line and write Bash scripts |
| Cloud platforms | AWS, Azure | Run servers, storage, databases and networks |
| Containers | Docker, Kubernetes | Package apps and run them on a cluster |
| Infrastructure as code | Terraform | Provision cloud resources from code |
| CI/CD | GitHub Actions | Build, test and deploy automatically |
| AI assistant | ChatGPT for ops | Explain errors, draft scripts and configuration, and check your work |
Capstone
One app. Deployed end to end.
Deploy a simple web application end to end: containerised, defined as infrastructure as code and shipped through a CI/CD pipeline. Then document the architecture.
Along the way you complete hands-on lab exercises in every module.
Your capstone portfolio.
- Bash scripts that automate server tasks
- A containerised app with Docker Compose
- Terraform code for a cloud environment
- A GitHub Actions CI/CD pipeline
- Your capstone: a deployed web app with architecture notes
Your credential
Rooman Campus AI Certificate.
A skill certificate with a completion record. It is not a degree. It records the course you completed and the capstone you built.
Your capstone portfolio shows what you can do with AI, which is what employers, clients and interviewers ask to see.
What's included
Everything you need to finish.
- Certified industry-expert trainers
- Weekly live cohort sessions online
- AI-powered LMS with 1-year access
- Hands-on lab exercises and a capstone project
- Résumé, LinkedIn and portfolio workshop
- Help with internship matching
Before you enrol
Questions future cloud engineers ask.
Can't find your answer? Call 080 6945 1000 or WhatsApp us.
Who is this course for?
The course is for BSc Computer Science, IT and Electronics students and BCA students who want to become cloud or DevOps engineers without a B.Tech degree. Recent graduates and self-taught coders with basic Linux and Python are welcome too.
Which cloud course should a BCA or BSc CS student take?
Start with AI for ALL. Then take Cloud & DevOps Foundation, which covers Linux, AWS, Azure, Docker, Kubernetes, Terraform, CI/CD with GitHub Actions and monitoring basics. You need basic Linux and Python first.
Is this for college students only?
Mostly, yes. Recent graduates and career-switchers are welcome too.
What do I need before I start?
You need basic Linux and Python skills, and you need to have completed AI for ALL. The Sciences Foundation is not required for this course.
Does it cover both AWS and Azure?
Yes. You learn the everyday AWS services first (EC2, S3, IAM, VPC, RDS and CloudWatch), then their Azure equivalents and when to pick Azure over AWS. You also provision real resources on both with Terraform.
Will I use Kubernetes?
Yes. You work with pods, deployments, services, ConfigMaps and secrets on a local Kubernetes cluster with Minikube.
How much time does it take?
50 hours over 10 weeks, combining self-paced lessons with one live cohort session each week.
Is it online or classroom?
It is taught online, with self-paced lessons and a weekly live cohort session, so it fits around college or work. Ask a counsellor about classroom batches.
Will I get hands-on with real tools?
Yes. Every tool listed on this page is used hands-on in cohort labs.
What is the capstone?
Deploy a simple web application end to end: containerised, defined as infrastructure as code and shipped through a CI/CD pipeline. Then document the architecture.
What can I do after this course?
You can add security skills with the Cybersecurity Foundation Program, build AI apps of your own with AI for BCA / BSc CS Students, or move towards AI engineering with AI Foundation, Tier 1 of Rooman's Build AI track (120 hours).
Is this course AICTE or UGC approved?
It is a skill course from Rooman, not a UGC-approved degree. You receive the Rooman Campus AI Certificate and a completion record.
Will my college recognise this?
Rooman's partner colleges may count it as a skill credit. Check with your college's placement officer.
Does the course include placement support?
Yes: a résumé and LinkedIn workshop, and help with internship matching. It is not one of Rooman's job-guaranteed programmes.
Which certificate will I receive?
The Rooman Campus AI Certificate, with a record of the course you completed.
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.
Can my college run this course for a whole batch?
Yes. Colleges can bring Campus AI courses to their students through Rooman's university partnerships. Placement or training officers can call 080 6945 1000.
Related courses.
All Sciences courses
50 hrs10 modulesCybersecurity Foundation ProgramA path from BSc CS or BCA to SOC analyst and junior penetration-tester roles.
60 hrs10 modulesAI for BCA / BSc CS StudentsBuild and deploy AI web apps, and bridge into Rooman's Build AI track.
120 hrsNext stepAI FoundationBuild AI Tier 1: the next step into AI engineering, in 120 hours.For collegesBring Campus AI to your college?Placement and training officers can run this course for a whole batch through Rooman's university partnerships.Talk to usNext step
Start with a conversation.
Tell us your course and year, and a counsellor will call you with batch dates, fees and payment options.
- Call: 080 6945 1000
- WhatsApp: +91 97390 86029
- Email: hello@rooman.com
Course details reviewed on 25 September 2026.