Build
Ship a full AI web app.
Write modern Python, build REST APIs with FastAPI, add a React front end, then deploy the whole app to the cloud.
Campus AI · For BCA & BSc CS students
AI for BCA / BSc CS Students. Build real AI apps before you graduate.
Rooman's AI for BCA / BSc CS Students is a 60-hour, 12-week online course for BCA and BSc Computer Science students and recent graduates. You learn to build AI-powered web apps with Python, FastAPI, LangChain and React, deploy them to the cloud, and earn the Rooman Campus AI Certificate.
60 hours10 modulesWeekly live cohortCapstone project
What you'll be able to do
Graduate with AI engineering skills.
BCA and BSc CS graduates often compete with B.Tech graduates for the same jobs. AI fluency is the differentiator. This course gives you enough AI engineering depth to be productive in a junior AI developer role, and it is the on-ramp to Rooman's Build AI track if you want to go deeper.
AI engineering
Work with AI APIs and agents.
Call the OpenAI and Anthropic APIs from your own code, and use LangChain to add tools, agents and document search (RAG).
Career
Show proof, not just marks.
Use Cursor, Claude Code and Aider the way working developers do, and build a GitHub portfolio a recruiter can open and check.
Skills covered
- AI engineering career landscape
- Python for AI engineering
- Modern backend with FastAPI
- AI APIs and SDKs
- LangChain and agentic basics
- Frontend with React (intro)
- Cloud deployment basics
- AI coding tools at depth
Who it's for
Built for BCA and BSc CS students.
The course is for BCA and BSc Computer Science students, recent graduates and self-taught coders who want to work as AI developers. It is also the on-ramp for students who plan to join Rooman's Build AI track.
Roles where these skills are used
- Junior AI Developer
- Python Developer
- Backend Developer (FastAPI)
- AI Application Developer
- Full-stack Developer (entry level)
- Software Developer Intern
Entry requirements.
- A BCA, BSc Computer Science or other science-stream student, or a recent graduate
- Some programming experience, in Python or any other language
- 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.
60 hours · 10 modules
A curriculum built around one real AI app.
Each module builds one part of a working AI application and ends with code you keep on GitHub.
01AI engineering career landscape3 hrs
Where BCA and BSc CS graduates can compete with B.Tech graduates, and the skills AI teams hire for.
Topics covered
- How AI engineering teams work, and where junior developers fit
- Where BCA and BSc CS graduates compete well with B.Tech graduates
- Reading junior AI developer job posts: the skills and tools employers ask for
- Setting up Python, Git and GitHub on your laptop for the course
You produce: a personal skills map and a 12-week plan.
02Python for AI engineering8 hrs
Go beyond the basics: modern Python, packages and async code.
Topics covered
- Virtual environments, packages and dependency management
- Type hints, dataclasses and a clean project structure
- Async programming with asyncio for calling AI services
- Testing with pytest and versioning your work with Git
You produce: a small, tested Python package on GitHub.
03Modern backend with FastAPI6 hrs
Build REST APIs with validation and async endpoints, then get them ready to deploy.
Topics covered
- REST API design: routes, methods and status codes
- Request and response validation with Pydantic
- Async endpoints, background tasks and error handling
- Auto-generated API docs and getting an API ready to deploy
You produce: a documented REST API.
04AI APIs and SDKs6 hrs
Call the OpenAI and Anthropic APIs from your own code and learn the common integration patterns.
Topics covered
- Working with the OpenAI and Anthropic SDKs
- Prompts in code: system prompts and structured JSON output
- Streaming responses, retries, rate limits and cost control
- Keeping API keys and user data safe
You produce: an API service with a working AI feature.
05LangChain and agentic basics8 hrs
Use LangChain to build tools, simple agents and retrieval-augmented generation (RAG).
Topics covered
- LangChain building blocks: models, prompts and chains
- Giving an AI model tools it can call
- Simple agents: planning, tool use and knowing when to stop
- RAG basics: embeddings, vector stores and retrieval
You produce: a RAG app that answers questions from your own documents.
06Frontend with React (intro)6 hrs
React fundamentals for building the front end of an AI app.
Topics covered
- Components, props and state
- Calling your FastAPI backend from React
- Building a chat interface that shows streamed AI responses
- Handling loading states, errors and simple forms
You produce: a React front end connected to your API.
07Cloud deployment basics5 hrs
Deploy AI apps to Render, Railway or AWS.
Topics covered
- How cloud hosting works for a web app
- Deploying to Render or Railway
- AWS basics for hosting an AI app
- Environment variables, secrets and basic monitoring
You produce: a live app with a public URL.
08AI coding tools at depth4 hrs
Use Cursor, Claude Code and Aider the way senior developers do.
Topics covered
- Cursor for writing and editing code across a project
- Claude Code and Aider for multi-file changes from the terminal
- Reviewing, testing and debugging AI-generated code
- Knowing when not to trust an AI suggestion
You produce: a feature built and reviewed with AI coding tools.
09AI engineering portfolio building4 hrs
Build your GitHub presence, write clear READMEs and showcase your projects.
Topics covered
- A GitHub profile a recruiter can scan quickly
- Writing a clear README with setup steps and screenshots
- Presenting your projects on your résumé and LinkedIn
- Explaining your project in a technical interview
You produce: a GitHub profile and project READMEs ready to share.
10Capstone10 hrs
Build a complete AI-powered web app, end to end.
Topics covered
- Choosing a problem and scoping your app
- A FastAPI backend with an agentic feature built in LangChain
- A React front end and deployment to a cloud platform
- Demo and review of your finished app
You produce: your capstone app, live and on GitHub.
Tools covered
The tools you'll work with.
Every tool is used hands-on in cohort labs, so you learn how they fit together in one working app.
| Tool group | Tools | What you use them for |
|---|---|---|
| Programming | Python, Git and GitHub | Write, test and version your code |
| Backend | FastAPI | Build the REST APIs behind your AI apps |
| AI models | OpenAI and Anthropic APIs, ChatGPT | Add AI features to your code, and plan and debug with a chat assistant |
| Agents and RAG | LangChain | Give AI tools to call and documents to search |
| Frontend | React | Build the interface people use |
| Cloud | Render, Railway, AWS | Deploy and host your apps |
| AI coding tools | Cursor, Claude Code, Aider | Write, refactor and review code faster |
Capstone
Build it. Ship it.
Build a complete AI-powered web application end to end: a FastAPI backend, a React front end and an agentic feature built with LangChain, deployed to a cloud platform.
Along the way you complete hands-on lab exercises in every module.
Your capstone portfolio.
- A tested Python package
- A documented FastAPI service
- A RAG app over your own documents
- A deployed React and FastAPI app
- Your capstone: a live AI web app on GitHub
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 GitHub portfolio and live capstone app show what you can build, which is what recruiters 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 BCA and BSc CS students ask.
Can't find your answer? Call 080 6945 1000 or WhatsApp us.
Who is this course for?
The course is for BCA and BSc Computer Science students, recent graduates and self-taught coders who want to work as AI developers. It is also the on-ramp for students who plan to join Rooman's Build AI track.
Which AI course should a BCA student do?
Start with AI for ALL, Rooman's 20-hour foundation course. Then take AI for BCA / BSc CS Students to learn AI engineering in 60 hours. If you would rather work in cloud or data roles, look at Cloud & DevOps Foundation or Data Analytics & AI Foundations.
Is this for college students only?
Mostly, yes. Recent graduates and career-switchers are welcome too.
Do I need to complete AI for ALL first?
Yes. AI for ALL is Rooman's 20-hour, 9-module foundation course and the entry point to every Campus AI course.
Do I need coding experience?
Yes. You need some programming experience, in Python or any other language. Module 2 then takes your Python beyond the basics.
How much time does it take?
60 hours over 12 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. 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?
Build a complete AI-powered web application end to end: a FastAPI backend, a React front end and an agentic feature built with LangChain, deployed to a cloud platform.
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.
What can I do after this course?
Go deeper on Rooman's Build AI track. It starts with AI Foundation (120 hours), followed by AI Professional (240 hours) and AI Expert (360 hours).
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.
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60 hrs10 modulesData Analytics & AI FoundationsSQL, Python, Power BI and machine learning for data analyst roles.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.