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An Open Curriculum For Computer Science

Pupil is an open source learning platform for college computer science. We run six tracks — Web Development, AI/ML, DevOps, Cloud Computing, DSA and System Design — and the whole curriculum is open: readable, forkable and improvable by anyone.

We do not write yet another closed course. We curate the best openly published material from W3Schools, GeeksforGeeks, Stack Overflow, takeUforward and others, arrange it into a semester plan, and teach it in the lab.

Browse All Courses See The Sources

Our Six Tracks

Pick any track. There is no admission test and no fixed batch — start where you are.

Web Development

Build real websites and full stack apps with HTML, CSS, JavaScript, React and Node.

Topics: web, webdev, html, css, javascript, js, react, node, express, frontend, backend, full stack, mern

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AI / Machine Learning

Learn Python for data, the maths behind models, and train real ML models with scikit-learn.

Topics: ai, ml, aiml, machine learning, python, data science, numpy, pandas, scikit-learn, deep learning, neural network, nlp

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DevOps

Linux, Git, Docker, Kubernetes and CI/CD pipelines that ship code automatically.

Topics: devops, linux, shell, git, docker, kubernetes, k8s, ci/cd, jenkins, github actions, terraform, ansible

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Cloud Computing

Virtualisation, AWS, Azure and GCP core services, serverless and cloud security.

Topics: cloud, aws, azure, gcp, ec2, s3, lambda, serverless, virtualisation, iaas, paas, saas

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Data Structures & Algorithms

The complete Striver A2Z path: arrays to graphs to dynamic programming, with 450+ problems.

Topics: dsa, data structures, algorithms, striver, takeuforward, leetcode, arrays, trees, graphs, dp, recursion, placement

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System Design

HLD and LLD: scaling, caching, sharding, queues, microservices and design patterns.

Topics: system design, hld, lld, scaling, load balancer, caching, sharding, microservices, kafka, cap theorem, design patterns

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Why An Open Source Program?

A student in any town can follow the same syllabus as a student in a metro city
The material stays updated, because the community updates it
You learn to read official documentation — the real skill in this industry
Nothing expires. Your notes and links keep working after you graduate
You can contribute back: fix a note, add a solution, open a pull request

How The Semester Runs

Pick a track and read its syllabus table
Follow the linked open tutorial for the current module
Attend the lab session and build that module's project
Solve the practice problems on LeetCode or the GfG practice portal
Attempt the quiz and check where you stand
Push your work to GitHub — that repository is your real certificate

Program At A Glance

Current semester numbers
Track	Level	Duration	Modules	Main Source
Web Development	Beginner to Intermediate	13 weeks	6	W3Schools
AI / Machine Learning	Intermediate	14 weeks	6	GeeksforGeeks
DevOps	Intermediate	12 weeks	6	roadmap.sh
Cloud Computing	Beginner to Intermediate	12 weeks	6	GeeksforGeeks
Data Structures & Algorithms	Core — all branches	16 weeks	6	takeUforward
System Design	Advanced — final year	10 weeks	6	System Design Primer
Total across all tracks			36 modules	All openly published

What Students Say

I finished the Striver A2Z sheet through the DSA track without ever joining a coaching class. The lab sessions told me what to read next — the material was already out there in the open.

— Final year student, Computer Science

The DevOps track made me deploy my own project on a Kubernetes cluster in the college lab. That one project got me shortlisted in three interviews.

— Third year student, Information Technology

Study Group Counter

Students who joined this week's open lab session: 0