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ALTA School of Technology

UG Computer Science
8-Semester Curriculum Roadmap

Curriculum × AI Led Projects × AI Tools

8Semesters
24AI Led Projects
30+AI Tools
Sem IHTML portfolio→
Sem IIReact + AI API→
Sem IIIDatabase + First ML→
Sem IVFull-stack + Adv ML→
Sem VCloud Deploy + CV→
Sem VIScale + NLP→
Sem VIIFine-tune LLM + Agents→
Sem VIIIIndustry Capstone

Programme at a Glance

8 Semesters · 24+ AI Led Projects · 30+ AI Tools

Semester
Focus & Key Projects
What You'll Build
Key Tools
SEM I
Year 1
Frontend + AI Tools Foundation
  • • Personal Portfolio Website
  • • Startup Landing Page
  • • Interactive JS Mini-Apps
CursorCursorClaudeClaudeGitHub CopilotGitHub Copilotv0.devv0.dev
SEM II
Year 1
React + First AI API Integration
  • • Portfolio Rebuilt in React
  • • AI-Enhanced Domain Web App
  • • DSA Visualiser
Gemini APIGemini APIOpenAI APIOpenAI APIVercelVercelGitHub ActionsGitHub Actions
SEM III
Year 2
Database + OS Projects + First ML Model
  • • Database-Backed Web App
  • • First ML Model — Domain Problem
  • • OS Process Scheduler Simulator
SupabaseSupabaseGoogle ColabGoogle ColabKaggleKagglescikit-learnscikit-learn
SEM IV
Year 2
Full-Stack Backend + Advanced ML Merge
  • • REST API Backend
  • • Advanced ML — Merges into Product
  • • Computer Networks Mini-Project
PostmanPostmanDockerDockerMongoDB AtlasMongoDB AtlasFastAPIFastAPI
SEM V
Year 3
Cloud Deploy + CI/CD + Computer Vision
  • • Cloud Deployment + Full CI/CD
  • • Computer Vision Feature
  • • Automated Data Pipeline
AWSAWSAzureAzureYOLOv8YOLOv8RoboflowRoboflow
SEM VI
Year 3
Scale + Security + NLP & Transformers
  • • Scale + Security Upgrade
  • • NLP / Transformer Feature
  • • ML System Design + LLMOps
RedisRedisNginxNginxLangChainLangChainHugging FaceHugging Face
SEM VII
Year 4
GenAI Engineering + Fine-tune + Industry
  • • Fine-tune Domain LLM (QLoRA)
  • • Frontend Architecture Overhaul
  • • Agentic AI Features + Industry Work
QLoRA / PEFTQLoRA / PEFTLLaMA-3 / MistralLLaMA-3 / MistralLangGraphLangGraphStorybookStorybook
SEM VIII
Year 4
Blockchain + Industry Capstone
  • • Blockchain OR Advanced GenAI
  • • Product Launch Preparation
  • • Industry Capstone + Final Demo Day
Hardhat / FoundryHardhat / FoundrySoliditySolidityPostHogPostHogGradioGradio
1
YEAR 1

BUILD & SHIP WITH AI TOOLS

Foundation → React → AI APIs → Deployment

6 AI Led Projects
10+ AI Tools
2 Semesters
1 Flagship Product
SEM 1

Frontend + AI Tools Foundation

Build and ship your first 3 production projects from day one, using the best AI tools in the world.

📚Academic Syllabus
  • Web Development (HTML, CSS, JS)
  • Introduction to Programming
  • Mathematics for Programming
  • Linear Algebra
✦New AI Tools Introduced
CursorCursor
ClaudeClaude
GitHub CopilotGitHub Copilot
GitHubGitHub
ReplitReplit
v0.devv0.dev
🚀AI Led Projects — 3 Projects
01

Personal Portfolio Website

Build:
  • ✓Multi-page portfolio
  • ✓GitHub deployment
  • ✓Domain selection
HTMLCSSJavaScriptGitHub
02

Startup Landing Page

Build:
  • ✓Product landing page
  • ✓Conversion-focused design
  • ✓Email waitlist integration
HTMLCSSUI/UXProduct Thinking
03

Interactive JS Mini Apps

Build:
  • ✓Calculator
  • ✓Quiz Application
  • ✓Word Counter
JavaScriptDOMEventsState
SEM 2

React + First AI API Integration

The portfolio is rebuilt in React. The first AI-powered app is live. CI/CD is in place.

📚Academic Syllabus
  • React Development
  • Object Oriented Programming
  • DSA Fundamentals
  • Data Analytics & Statistics
✦New AI Tools Introduced
Gemini APIGemini API
OpenAI APIOpenAI API
VercelVercel
GitHub ActionsGitHub Actions
PerplexityPerplexity
🚀AI Led Projects — 3 Projects
04

Portfolio Rebuilt in React

Build:
  • ✓Component-based UI
  • ✓React Router
  • ✓Deploy on Vercel with CI/CD
ReactViteHooksCI/CD
05

AI Enhanced Domain App

Build:
  • ✓Gemini API integration
  • ✓System prompts
  • ✓Streaming responses
ReactAPIsGenAIProduct Design
06

DSA Visualiser

Build:
  • ✓Sorting animations
  • ✓Complexity analysis
  • ✓Interactive learning
AlgorithmsAnimationReactDSA
YEAR 1 MILESTONE — Student exits Year 1 with:
✓Live Portfolio
✓React Application
✓AI-Powered Product
✓GitHub Profile
✓CI/CD Experience
✓Vercel Deployment
✓Real API Integrations
2
YEAR 2

FULL-STACK ENGINEERING + FIRST ML MODEL

Database → OS Projects → REST API → ML Model

6 AI Led Projects
15+ Tools
2 Semesters
Real Product Outcome
SEM 3

Database + OS Projects + First ML Model

The project gets a real database. Students train their first ML model. Two threads start — they merge in Semester 4.

📚Academic Syllabus
  • Introduction to DBMS
  • Fundamentals of DSA with OS & Concurrency
  • Classical Machine Learning
  • LLD 101
✦New AI Tools Introduced
SupabaseSupabase
Google ColabGoogle Colab
KaggleKaggle
scikit-learnscikit-learn
StreamlitStreamlit
MLflowMLflow
🚀AI Led Projects — 3 Projects
07

Database-Backed Web App

Build:
  • ✓Add Supabase PostgreSQL to the flagship React project
  • ✓User auth, CRUD operations
  • ✓Real user data persistence
ReactSupabasePostgreSQLAuthLLD
08

First ML Model — Domain Problem

Build:
  • ✓Train ML model on a real domain problem
  • ✓Kaggle dataset, clean & explore
  • ✓Evaluate with SHAP & metrics
  • ✓Deploy as Streamlit app
scikit-learnSHAPMLflowGoogle ColabStreamlit
09

OS Process Scheduler Simulator

Build:
  • ✓Visual scheduler for FCFS, SJF, Round Robin
  • ✓Interactive simulation
  • ✓Understand OS theory through code
PythonThreadingMatplotlib
SEM 4

Full-Stack Backend + Advanced ML Merge

The project gets a real REST API. The ML model gets embedded into the product. Four layers now work together for the first time.

📚Academic Syllabus
  • Build Web Applications with MERN
  • Introduction to Backend (SpringBoot)
  • Advanced Machine Learning
  • DSA + Computer Networks
✦New AI Tools Introduced
PostmanPostman
DockerDocker
MongoDB AtlasMongoDB Atlas
Weights & BiasesWeights & Biases
FastAPIFastAPI
🚀AI Led Projects — 3 Projects
10

REST API Backend

Build:
  • ✓Build REST API with Express.js or SpringBoot
  • ✓Auth, validation, error handling
  • ✓Connect to database
  • ✓Dockerised application
Express.jsJWTRESTDocker
11

Advanced ML — Merges into Product

Build:
  • ✓Improve model with advanced techniques
  • ✓Embed /api/predict endpoint in backend
  • ✓Real ML intelligence inside product
XGBoostOptunaWeights & BiasesFastAPI
12

Computer Networks Mini-Project

Build:
  • ✓TCP Chat Server
  • ✓Basic HTTP Server
  • ✓Capture & analyze packets
  • ✓Hands-on with Wireshark
PythonTCP SocketsHTTPWireshark
YEAR 2 MILESTONE — Student exits Year 2 with:
✓Real Database (PostgreSQL)
✓Real REST API (Production Ready)
✓First ML Model (Trained & Deployed)
✓CI/CD & Deployment (Vercel + Docker)
✓Industry-Ready Full-Stack Skills
3
YEAR 3

CLOUD, SCALE & AI POWER-UP

Deploy → Scale → Computer Vision → NLP/Transformers → LLMOps

6 AI Led Projects
15+ AI Tools
2 Semesters
Real Production Outcome
SEM 5

Cloud Deploy + CI/CD + Computer Vision

Deploy the full-stack project to the real internet with CI/CD. Add a Computer Vision feature. The project becomes a real live product users can visit.

📚Academic Syllabus
  • HLD 101 with DevOps & Cloud [SWE]
  • Data Engineering [SWE]
  • Neural Networks & Computer Vision [AI/ML]
✦New AI Tools Introduced
AWS / AzureAWS / Azure
YOLOv8YOLOv8
RoboflowRoboflow
Docker ComposeDocker Compose
GrafanaGrafana
TerraformTerraform
🚀AI Led Projects — 3 Projects
13

Cloud Deployment + Full CI/CD

Build:
  • ✓Deploy entire four-layer app to AWS/Azure
  • ✓CI/CD with GitHub Actions
  • ✓Docker images & monitoring
PythonAzureGitHub ActionsDocker ComposeGrafana
14

Computer Vision Feature

Build:
  • ✓Train custom YOLOv8 model
  • ✓Integrate CV feature into live product
  • ✓Expose as FastAPI endpoint
YOLOv8RoboflowCustom TrainingFastAPI
15

Automated Data Pipeline

Build:
  • ✓Build ETL pipeline with Python
  • ✓Clean, validate & store data
  • ✓Schedule & monitor pipeline
PythonPandasCloud StorageScheduling
SEM 6

Scale + Security + NLP & Transformers

Make the live product scalable and secure. Add NLP and Transformer features. By semester end: a startup-ready AI product.

📚Academic Syllabus
  • Advanced HLD and Application Security [SWE]
  • NLP & Transformers [AI/ML]
  • ML System Design & LLMOps [AI/ML]
✦New AI Tools Introduced
RedisRedis
NginxNginx
CloudflareCloudflare
LangChainLangChain
Pinecone / ChromaPinecone / Chroma
Hugging FaceHugging Face
🚀AI Led Projects — 3 Projects
16

Scale + Security Upgrade

Build:
  • ✓Redis caching
  • ✓Nginx load balancing
  • ✓Cloudflare CDN
  • ✓Security audit & fixes
RedisNginxCloudflareOWASP ZAPRate Limiting
17

NLP / Transformer Feature

Build:
  • ✓Add NLP feature to product
  • ✓Fine-tune / use BERT
  • ✓Build RAG system over domain docs
Hugging FaceBERTLangChainPineconeRAGAS
18

ML System Design + LLMOps

Build:
  • ✓Model versioning with MLflow
  • ✓A/B testing between models
  • ✓Feedback loop & model cards
  • ✓Connect ML System Design to real product
MLflowA/B TestingFeedback LoopModel Cards
YEAR 3 MILESTONE — Student exits Year 3 with:
✓Live on Cloud (AWS / Azure)
✓CI/CD Automated
✓CV + NLP Intelligence
✓Scalable & Secure
✓MLflow Ops Ready
4
YEAR 4

GenAI, FINE-TUNING & INDUSTRY CAPSTONE

Build Intelligent → Ship to Users → Industry Capstone

6 AI Led Projects
15+ AI Tools
2 Semesters
Real Product Outcome
SEM 7

GenAI Engineering + Fine-tune + Industry

Fine-tune an LLM on domain data. Build agentic AI features. Upgrade to production frontend architecture. Industry Immersion begins.

📚Academic Syllabus
  • AI Engineering (GenAI)
  • Frontend Architecture
  • Industry Immersion
✦New AI Tools Introduced
QLoRA / PEFTQLoRA / PEFT
LLaMA-3 / MistralLLaMA-3 / Mistral
LangGraphLangGraph
StorybookStorybook
Vite + TurborepoVite + Turborepo
DALL-E / SDXLDALL-E / SDXL
🚀AI Led Projects — 3 Projects
19

Fine-tune Domain LLM (QLoRA)

Build:
  • ✓Collect domain data
  • ✓Fine-tune Mistral-7B / LLaMA-3 with QLoRA
  • ✓Evaluate vs base model & GPT-4o
  • ✓Deploy locally with Ollama & integrate into product
QLoRAPEFTMistral / LLaMA-3HuggingFaceOllama
20

Frontend Architecture Overhaul

Build:
  • ✓Refactor to production-grade architecture
  • ✓Build component library in Storybook
  • ✓Setup Turborepo monorepo
  • ✓Measure & improve Core Web Vitals
ViteTurborepoStorybookDesign SystemCore Web Vitals
21

Agentic AI Features + Industry Work

Build:
  • ✓Build agentic AI features
  • ✓RAG + Tools + Memory
  • ✓Integrate into live product
  • ✓Industry Immersion begins — contribute to real company codebases
LangChainPineconeToolsRAGIndustry Immersion
SEM 8

Blockchain + Industry Capstone

Polish and ship the product to real users. Learn Blockchain. Deep Industry Immersion. Graduation day is demo day.

📚Academic Syllabus
  • BlockChain
  • Industry Immersion (deep engagement)
✦New AI Tools Introduced
Hardhat / FoundryHardhat / Foundry
SoliditySolidity
Ethers.jsEthers.js
PostHog / MixpanelPostHog / Mixpanel
GradioGradio
🚀AI Led Projects — 3 Projects
22

Blockchain OR Advanced GenAI

Build:
  • ✓Track A: Add blockchain — smart contracts, decentralised identity
  • ✓Track B: Deeper GenAI — tiny model from scratch, multimodal features
  • ✓Responsible AI audit
SolidityHardhat OR deeper QLoRAMultimodalFairlearn
23

Product Launch Preparation

Build:
  • ✓Add product analytics
  • ✓User onboarding & pricing
  • ✓Documentation & support
  • ✓Soft launch & user feedback
PostHogStripeDocsOnboardingSoft Launch
24

Industry Capstone + Final Demo Day

Build:
  • ✓8 weeks in real company
  • ✓Build production features
  • ✓Code reviews by senior engineers
  • ✓Final demo to VCs & partners
Real CompanyReal PRPanel Presentation
YEAR 4 MILESTONE — Student exits Year 4 with:
✓Live AI Product Running on Cloud
✓Production Code & CI/CD
✓Industry Mentors & Real Feedback
✓Portfolio That Gets Noticed
✓Startup-Ready Engineers

The Four-Layer Product Architecture

Every student builds and ships one product that evolves across all 8 semesters

Frontend
React · Vite · Storybook
API Backend
Express.js · SpringBoot · FastAPI
Database
PostgreSQL · MongoDB · Supabase
ML Prediction
scikit-learn · XGBoost · Fine-tuned LLM

React Frontend → REST API Backend → Database → ML Prediction Model.
The ML model becomes a /api/predict endpoint embedded inside the live product.

Future-ready skills. Real-world projects. From classroom to career.

Ready to Build Your AI Product?

8 semesters. 24 AI led projects. 30+ AI tools.
Join ALTA School of Technology's B.Tech in Computer Science.

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