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B.Tech · CS & AI · 8 semesters

Four years, engineered to compound.

Every year raises the ceiling. Year 1 makes you fluent. Year 2 makes you rigorous. Year 3 makes you industry-ready. Year 4 makes you hireable — and hard to replace.

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Industry-oriented advanced curriculum

Four years. Every subject. Nothing hidden.

Pick a year on the left to see exactly what you'll learn, build and walk out with. Same syllabus, same rigour at both campuses.

Year 1 - Early Start

Think like an engineer

Programming, Data structures and algorithms, building web applications using GenAI/Agentic AI and the discipline of building real things.

Subjects
Programming & LogicC++ & Python · Mastering Programming
Web DevelopmentHTML · CSS · JavaScript · MERN Stack
Linux & GitShell · version control · project collaboration
Math for Data scienceDiscrete math · probability · Statistics
Databases (DBMS)SQL · schema design · indexing
Operating SystemsProcesses · threads · memory · IO
Intro to AI ToolsPrompt engineering · AI-assisted coding
Intro to Data SciencePython · Gen AI · Agentic AI
Industry ProjectsBuild 4+ applications, end-to-end
Tech stack
C++PythonMERNGit & GitHub VS CodeLinuxCopilotFigmaMathsData Structures and AlgorithmsOpen source
You'll walk out with
  • 4+ projects Web applications and GenAI
  • Strong GitHub profile
  • 350+ problems solved
  • Great chances to crack GSOC and Top Hackathons
  • ACM-ICPC Participation
  • Profile building on Codeforces and Leetcode
What you'll build
Personal portfolio site
Project

Personal portfolio site

F1 Podcast Summary Project
Project

F-1 Podcast Summary Project

AI note-taking app
Project

AI note taking app

Excalidraw Drawing Application Project
Project

Excalidraw

CodeChef · Codeforces
Ratings

CodeChef · Codeforces

GSOC/LFX/MLH (contributor)
Competition

GSOC/LFX/MLH

Smart India Hackathon (SIH)
Competition

Smart India Hackathon (SIH)

Year 2 - Engineering depth

Build like an engineer

DSA, Machine Learning, Deep Learning and full-stack — with weekly code reviews and production-grade projects.

Subjects
Machine LearningLinear Regression · Supervised & Unsupervised Learnings · Advanced Algorithms
Competitive ProgrammingDP · greedy · graph algorithms
Advanced Web DevelopmentVUEJS · TypeScript · Projects
System Design-1 scalability · trade-offs
Computer NetworksTCP/IP · HTTP · sockets · DNS
Intro to Deep LearningTransformers · classification · models
Cloud & DevOpsAWS · Docker · CI/CD · monitoring
Interview & PreparationDSA · Problem Solving
ProjectsBuild 4+ full-stack apps with AI and ML
Tech stack
Machine LearningDeep LearningArtificial IntelligenceVUEJSNEXTJSNODEJSTypeScript PostgreSQLRedisDockerPostmanAWSLLMsSystem Design
You'll walk out with
  • 4+ AI powered web applications
  • Build your own Startup
  • Get a paid internship
  • Winning Top Companies Hackathons
  • Mock Interviews and Bootcamps with Industry Leaders
  • 600+ DSA questions on Codeforces/Leetcode
What you'll build
Full-stack e-commerce store
Project

Full Stack E-commerce store

Google Maps with safety first routesW
Project

Google Maps with safety first routes.

Build Whatsapp Application
Project

Whatsapp Application

News Sentiment Analysis
Project

News Sentiment Analysis

Smart India Hackathon (SIH)
Competition

Smart India Hackathon (SIH)

Google Summer of Code, Linux foundation Mentorship and Major League Hacking (contributor)
Competition

GSOC/LFX/MLH

ACM ICPC regionals
Competition

ACM ICPC

Year 3 - Job Readiness

Ship like an engineer

Cybersecurity. Blockchain, System Design(HLD) and Building LLMs and SEO engines.

Subjects
Applied ML / DLPyTorch · CNNs · RNNs · transformers
Generative AI & LLMsRAG · agents · fine-tuning · evals
Introduction to JavaJVM · Objects · Core Java
Computer VisionOpenCV · YOLO · segmentation · object detection
BlockchainSolidity · Bitcoin · Wallet
System Design-2 scalability · trade-offs
MLOpsMLflow · model serving · CI/CD for ML · drift detection
Advanced JavaSpring · Hibernate
Interview PreparationDSA · design rounds · mocks
Tech stack
Applied ML/AIHLDSpringBootSolidityPyTorchLangChainVector DBsAWSGitHub ActionsMLflowGrafanaBlockchainComputer VisionSystem DesignOpenCV
You'll walk out with
  • Production-ready engineering skills
  • Global OSS selection (GSOC · LFX · MLH)
  • End-to-end AI products like Search Engine
  • Strong Codeforces profile for top product companies
  • Strong system design thinking
  • Work to raise funding for your startup
What you'll build
Language Learning Application - Duolingo
Project

Language Learning Application - Duolingo

Decentralized Certificate Verification System
Project

Decentralized Certificate Verification System

Real-time collab tool Google Docs
Project

Real-time collab tool Google Docs

Real-time Object Detection System
Project

Real-time Object Detection & Tracking System — YOLO + OpenCV

Instagram Feed Personalisation Project
Project

Instagram Feed Personalisation

CodeChef · Codeforces
Ratings

CodeChef · Codeforces

Google Summer of Code, Linux foundation Mentorship and Major League Hacking (contributor)
Competition

GSOC/LFX/MLH

ACM ICPC regionals
Competition

ACM ICPC

Kaggle competitions
Competition

Kaggle competitions

Year 4 - Launchpad

Pick your launchpad

Cloud Computing, Dot Net, Research Papers and Placement Preparation to make you industry ready.

Subjects
Cloud ComputingAWS · GCP · Azure · serverless · IaC · Terraform
.NET DevelopmentASP.NET Core · C# · Entity Framework · Web APIs
Data EngineeringPipelines · ETL · warehousing · BI
Research & DevelopmentPublications · Research Work
Interview PreparationDSA · design rounds · mocks · behavioural
ElectivesInternship · Industry Preparation
Tech stack
IaC Terraform ASP.NET Core C# Data Warehousing BI Publications Research Work Mock Interviews Career Readiness
You'll walk out with
  • Production-ready engineering skills across ML, Cloud & Backend
  • Publish research paper in Data Science, MLOps or Cloud Computing
  • End-to-end AI products ready for deployment
  • Strong Codeforces profile for top product companies
  • Strong system design thinking for senior engineering roles
  • Dedicated Placement Preparation
What you'll do
Do an internship or research publication work
Project

Internship/Research Work

Choose an elective
Electives

Choose an Elective Subject

Watch lectures Toy assignments You ship real code

You’ll be on the developing side of things —
not watching slides.

This isn’t a program where you learn theory, then “maybe try it later”. You’re writing production-grade code from Week 1 — pushing to Git, deploying to the cloud, getting your code reviewed by practising engineers.

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Real projects shipped by graduation
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Git commits every week, reviewed
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Live deployments & demos
  • Every assignment is a shippable piece of software. No PDF submissions. No dummy CSV problems.
  • Real stacks, real tools. Git, VS Code, cloud deployments, CI — the same toolchain you’ll use in your first job.
  • Your code is reviewed weekly by practising engineers — not graded by a rubric.
Adaptive curriculum

A curriculum that evolves with the industry — not the textbook.

Tech moves. Our curriculum moves with it. Every year, we review the entire syllabus with practising engineers, alumni and hiring partners — and rebuild the parts the industry has moved past.

Step 01

Annual review

The full curriculum is reviewed every academic year by a committee of CB mentors, alumni and industry advisors.

Step 02

Signals from industry

We track what hiring partners are asking for, what alumni are shipping, and where the frontier is moving.

Step 03

Modules refreshed

New modules are added, outdated ones are retired, and existing ones are rebuilt — with projects, not just lectures.

Step 04

Students test it live

Student feedback, project outcomes and placement results feed the next review. The loop never stops.

Recently updated
What you’ll learn

Eight domains. One modern engineer.

Every domain below is covered across all four years — and every one of them is something you actually build with. You don’t “study” these topics; you use them in real projects, get your code reviewed, and ship them to users.

Domain · 01

DSA & Problem Solving

The problem-solving muscle that defines every good engineer — from the basics to advanced patterns.

Core DSAAdvanced patternsContests
Covered Across the degree
Domain · 02

Full-Stack Web Development

From your first web page to modern production apps — frontend, backend, databases, auth and deployment.

FrontendBackendAPIsDeployment
Covered Across the degree
Domain · 03

AI & Machine Learning

From Python and data science to applied ML, NLP and deep learning — always anchored in real, hands-on projects.

Applied MLNLPDeep Learning
Covered Across the degree
Domain · 04

Generative AI & LLMs

Prompt engineering, GenAI workflows, LLM applications and the modern AI toolchain — kept current every year.

Prompt engineeringLLM appsRAG
Covered Across the degree
Domain · 05

Systems & Databases

How software actually runs — operating systems, networks, databases and the system-design thinking behind real products.

OSNetworksDatabasesSystem design
Covered Across the degree
Domain · 06

Data Science & Analytics

Work with real data — statistics, data handling, analytics and end-to-end data projects.

StatisticsData handlingAnalytics
Covered Across the degree
Domain · 07

Cybersecurity & Blockchain

How systems are attacked and defended, and how decentralised systems actually work under the hood.

AppSecWeb3Smart contracts
Covered Across the degree
Domain · 08

DevOps, Cloud & Enterprise

Cloud-native engineering, DevOps, and enterprise stacks — the production edge that makes graduates industry-ready.

DevOpsCloudEnterprise stacks
Covered Across the degree
Graduation profile

What you walk out with on Day One of your career.

Four years of practical learning, compounding into something measurable. Not a promise — a pattern we’ve seen across a decade at Coding Blocks.

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Shippable projects in your portfolio
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Problems solved across DSA, projects & contests
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Real industry internships under your belt
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Deep capstone in your chosen specialisation
Mentor-led, not graded

Your code gets reviewed every week.

Every student has a mentor assigned to them — a practising engineer from a product company. They look at your actual code. They comment on it. They push you. This is the single biggest reason CB alumni are different.

  • 1:15 mentor-to-student ratio — no one falls through the cracks.
  • Line-by-line code review — real engineering feedback, not a tick-box rubric.
  • Weekly 1:1 time — scoped to your project, your goals, your career.
Curriculum brochure

Get the full curriculum deck on your desk.

A detailed 40-page PDF covering the curriculum, learning model, project portfolio, career architecture, campuses, fees and the admission process. Useful for both students and parents.

  • Full semester-by-semester curriculum breakdown
  • Project portfolio & sample capstones
  • Career architecture & placement process
  • Fee structure, scholarships & laptop policy
Prefer to talk? Book a call with admissions →